Citations Report

Pharmaceutical Bioprocessing : Citations & Metrics Report

Articles published in Pharmaceutical Bioprocessing have been cited by esteemed scholars and scientists all around the world.

Pharmaceutical Bioprocessing has got h-index 25, which means every article in Pharmaceutical Bioprocessing has got 25 average citations.

Following are the list of articles that have cited the articles published in Pharmaceutical Bioprocessing.

• Gervais, D., Downer, A., King, D., Kanda, P., Foote, N., & Smith, S. (2017). Robust quantitation of basic-protein higher-order aggregates using size-exclusion chromatography. Journal of pharmaceutical and biomedical analysis, 139, 215-220. View at Publisher | View at Google Scholar | View at Indexing
• Jiang, H., Xu, W., Liu, R., Gupta, B., Kilgore, B., Du, Z., & Yang, X. (2020). Characterization of Bispecific Antibody Production in Cell Cultures by Unique Mixed Mode Size Exclusion Chromatography. Analytical Chemistry, 92(13), 9312-9321. View at Publisher | View at Google Scholar | View at Indexing
• Brady, L. J. (2021). Separation techniques for characterization and quantification of monoclonal antibody purity. In Monoclonal Antibodies (pp. 121-159). Academic Press. View at Publisher | View at Google Scholar | View at Indexing
• Schieferstein, J. M., Reichert, P., Narasimhan, C. N., Yang, X., & Doyle, P. S. (2021). Hydrogel Microsphere Encapsulation Enhances the Flow Properties of Monoclonal Antibody Crystal Formulations. Advanced Therapeutics, 4(4), 2000216. View at Publisher | View at Google Scholar | View at Indexing
• Alldread, R. M., Birch, J. R., Metcalfe, H. K., Farid, S., Racher, A. J., Young, R. J., & Khan, M. (2014). Large scale suspension culture of mammalian cells. Industrial Scale Suspension Culture of Living Cells, 410-462. View at Publisher | View at Google Scholar | View at Indexing
• Croughan, M., Delfosse, S., & Svay, K. (2014). Microbial contamination in industrial animal cell culture operations. Pharmaceutical Bioprocessing, 2(1), 23-25. View at Publisher | View at Google Scholar | View at Indexing
• Su, J., Rice, J., Hoffman, J., Alvarado, S., Bailey, M., Kopp, M., ... & Chen, D. (2021). Revisiting mouse minute virus inactivation by high temperature short time treatment. Biotechnology and Bioengineering. View at Publisher | View at Google Scholar | View at Indexing
• Djemal, L., Fournier, C., von Hagen, J., Kolmar, H., & Deparis, V. (2021). High temperature short time treatment of cell culture media and feed solutions to mitigate adventitious viral contamination in the biopharmaceutical industry. Biotechnology Progress, 37(3), e3117. View at Publisher | View at Google Scholar | View at Indexing
• Gemmell, D. K., Mack, A., Wegmann, S., Han, D., Tuccelli, R., Johnson, M., & Miller, C. (2021). Efficacy of minute virus of mice (MVM) inactivation utilizing high temperature short time (HTST) pasteurization and suitability assessment of pasteurized, concentrated glucose feeds in Chinese hamster ovary (CHO) cell expression systems. Engineering in Life Sciences. View at Publisher | View at Google Scholar | View at Indexing
• Bracewell, D. G., Francis, R., & Smales, C. M. (2015). The future of host cell protein (HCP) identification during process development and manufacturing linked to a risk?based management for their control. Biotechnology and bioengineering, 112(9), 1727-1737. View at Publisher | View at Google Scholar | View at Indexing
• Wan, H. (2016). An overall comparison of small molecules and large biologics in ADME testing. ADMET and DMPK, 4(1), 1-22. View at Publisher | View at Google Scholar | View at Indexing
• Welsh, J. P., Rauscher, M. A., Bao, H., Meissner, S., Han, I., Linden, T. O., & Pollard, J. M. (2016). Domain antibody downstream process optimization: High?throughput strategy and analytical methods. Engineering in Life Sciences, 16(2), 133-142. View at Publisher | View at Google Scholar | View at Indexing
• Goldrick, S., Umprecht, A., Tang, A., Zakrzewski, R., Cheeks, M., Turner, R., ... & Farid, S. S. (2020). High-throughput Raman spectroscopy combined with innovate data analysis workflow to enhance biopharmaceutical process development. Processes, 8(9), 1179. View at Publisher | View at Google Scholar | View at Indexing
• Pinto, I. F., Soares, R. R., Ma?kinen, M. E. L., Chotteau, V., & Russom, A. (2021). Multiplexed Microfluidic Cartridge for At-Line Protein Monitoring in Mammalian Cell Culture Processes for Biopharmaceutical Production. ACS sensors, 6(3), 842-851. View at Publisher | View at Google Scholar | View at Indexing
• Hong, J., Aswath, M., Gao, Y., Ogawa, D., Sharma, V., & Zhu, M. (2020). Impact of next-generation high productivity perfusion cell culture process on host cell protein profile and a comparison with fed-batch cultures. Authorea Preprints. View at Publisher | View at Google Scholar | View at Indexing
• Biechele, P., Busse, C., Solle, D., Scheper, T., & Reardon, K. (2015). Sensor systems for bioprocess monitoring. Engineering in Life sciences, 15(5), 469-488. View at Publisher | View at Google Scholar | View at Indexing
• Capito, F., Skudas, R., Kolmar, H., & Hunzinger, C. (2015). At-line mid infrared spectroscopy for monitoring downstream processing unit operations. Process Biochemistry, 50(6), 997-1005. View at Publisher | View at Google Scholar | View at Indexing
• Randek, J., & Mandenius, C. F. (2018). On-line soft sensing in upstream bioprocessing. Critical reviews in biotechnology, 38(1), 106-121. View at Publisher | View at Google Scholar | View at Indexing
• Havlik, I., Scheper, T., & Reardon, K. F. (2015). Monitoring of microalgal processes. Microalgae Biotechnology, 89-142. View at Publisher | View at Google Scholar | View at Indexing
• Marquard, D., Enders, A., Roth, G., Rinas, U., Scheper, T., & Lindner, P. (2016). In situ microscopy for online monitoring of cell concentration in Pichia pastoris cultivations. Journal of biotechnology, 234, 90-98. View at Publisher | View at Google Scholar | View at Indexing
• Holzberg, T. R., Watson, V., Brown, S., Andar, A., Ge, X., Kostov, Y., ... & Rao, G. (2018). Sensors for biomanufacturing process development: facilitating the shift from batch to continuous manufacturing. Current opinion in chemical engineering, 22, 115-127. View at Publisher | View at Google Scholar | View at Indexing
• Holzberg, T. R., Watson, V., Brown, S., Andar, A., Ge, X., Kostov, Y., ... & Rao, G. (2018). Sensors for biomanufacturing process development: facilitating the shift from batch to continuous manufacturing. Current opinion in chemical engineering, 22, 115-127. View at Publisher | View at Google Scholar | View at Indexing
• Marquard, D., Schneider-Barthold, C., Düsterloh, S., Scheper, T., & Lindner, P. (2017). Online monitoring of cell concentration in high cell density Escherichia coli cultivations using in situ Microscopy. Journal of biotechnology, 259, 83-85. View at Publisher | View at Google Scholar | View at Indexing
• Maschhoff, P., Heene, S., Lavrentieva, A., Hentrop, T., Leibold, C., Wahalla, M. N., ... & Blume, C. (2017). An intelligent bioreactor system for the cultivation of a bioartificial vascular graft. Engineering in Life Sciences, 17(5), 567-578. View at Publisher | View at Google Scholar | View at Indexing
• Hausmann, R., Henkel, M., Hecker, F., & Hitzmann, B. (2017). Present Status of automation for industrial bioprocesses. In Current developments in biotechnology and bioengineering (pp. 725-757). Elsevier. View at Publisher | View at Google Scholar | View at Indexing
• Gustavsson, R., Mandenius, C. F., Löfgren, S., Scheper, T., & Lindner, P. (2019). In situ microscopy as online tool for detecting microbial contaminations in cell culture. Journal of biotechnology, 296, 53-60. View at Publisher | View at Google Scholar | View at Indexing
• Lücking, T. H., Busse, C., Lüder, C., Bulnes-Abundis, D., Solle, D., & Scheper, T. (2015, December). A novel measuring chamber and automation platform for mammalian cell culture processes. In BMC Proceedings (Vol. 9, No. 9, pp. 1-3). BioMed Central. View at Publisher | View at Google Scholar | View at Indexing
• Belini, V. L., Junior, O. M., Ceccato-Antonini, S. R., Suhr, H., & Wiedemann, P. (2021). Morphometric quantification of a pseudohyphae forming Saccharomyces cerevisiae strain using in situ microscopy and image analysis. Journal of Microbiological Methods, 190, 106338. View at Publisher | View at Google Scholar | View at Indexing
• Belini, V. L., Junior, O. M., Ceccato-Antonini, S. R., Wiedemann, P., & Suhr, H. (2019). Automatic cell segmentation from brightfield microscopy images of pseudohyphal cell-aggregates. View at Publisher | View at Google Scholar | View at Indexing
• Belini, V. L., Suhr, H., & Wiedemann, P. (2020). Online monitoring of the morphology of an industrial sugarcane biofuel yeast strain via in situ microscopy. Journal of Microbiological Methods, 175, 105973. View at Publisher | View at Google Scholar | View at Indexing
• Brown, A. J., & James, D. C. (2016). Precision control of recombinant gene transcription for CHO cell synthetic biology. Biotechnology advances, 34(5), 492-503. View at Publisher | View at Google Scholar | View at Indexing
• Xu, J., Tang, P., Yongky, A., Drew, B., Borys, M. C., Liu, S., & Li, Z. J. (2019, January). Systematic development of temperature shift strategies for Chinese hamster ovary cells based on short duration cultures and kinetic modeling. In MAbs (Vol. 11, No. 1, pp. 191-204). Taylor & Francis. View at Publisher | View at Google Scholar | View at Indexing
• Bustamante, N., Ielasi, G., Bedoya, M., & Orellana, G. (2018). Optimization of temperature sensing with polymer-embedded luminescent Ru (II) complexes. Polymers, 10(3), 234. View at Publisher | View at Google Scholar | View at Indexing
• Shirahata, H., Diab, S., Sugiyama, H., & Gerogiorgis, D. I. (2019). Dynamic modelling, simulation and economic evaluation of two CHO cell-based production modes towards developing biopharmaceutical manufacturing processes. Chemical Engineering Research and Design, 150, 218-233. View at Publisher | View at Google Scholar | View at Indexing
• McHugh, K. P., Xu, J., Aron, K. L., Borys, M. C., & Li, Z. J. (2020). Effective temperature shift strategy development and scale confirmation for simultaneous optimization of protein productivity and quality in Chinese hamster ovary cells. Biotechnology progress, 36(3), e2959. View at Publisher | View at Google Scholar | View at Indexing
• Tzani, I., Monger, C., Motheramgari, K., Gallagher, C., Hagan, R., Kelly, P., ... & Clarke, C. (2020). Subphysiological temperature induces pervasive alternative splicing in Chinese hamster ovary cells. Biotechnology and bioengineering, 117(8), 2489-2503. View at Publisher | View at Google Scholar | View at Indexing
• Dos Santos, N. V., Saponi, C. F., Ryan, T. M., Primo, F. L., Greaves, T. L., & Pereira, J. F. (2020). Reversible and irreversible fluorescence activity of the Enhanced Green Fluorescent Protein in pH: Insights for the development of pH-biosensors. International Journal of Biological Macromolecules, 164, 3474-3484. View at Publisher | View at Google Scholar | View at Indexing
• Ghorbani Aghdam, A., Moradhaseli, S., Jafari, F., Motahari, P., Samavat, S., Mahboudi, R., & Maleknia, S. (2019). Therapeutic Fc fusion protein misfolding: A three-phasic cultivation experimental design. PloS one, 14(1), e0210712. View at Publisher | View at Google Scholar | View at Indexing
• Smiatek, J., Clemens, C., Herrera, L. M., Arnold, S., Knapp, B., Presser, B., ... & Bluhmki, E. (2021). Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes. Biotechnology Reports, e00640. View at Publisher | View at Google Scholar | View at Indexing
• Smiatek, J., Clemens, C., Herrera, L. M., Arnold, S., Knapp, B., Presser, B., ... & Bluhmki, E. (2021). Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes. Biotechnology Reports, e00640. View at Publisher | View at Google Scholar | View at Indexing
• Smiatek, J., Clemens, C., Herrera, L. M., Arnold, S., Knapp, B., Presser, B., ... & Bluhmki, E. (2021). Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes. Biotechnology Reports, e00640. View at Publisher | View at Google Scholar | View at Indexing
• Ha, T. K., Kim, D., Kim, C. L., Grav, L. M., & Lee, G. M. (2021). Factors affecting the quality of therapeutic proteins in recombinant Chinese hamster ovary cell culture. Biotechnology Advances, 107831. View at Publisher | View at Google Scholar | View at Indexing
• Offersgaard, A., Duarte Hernandez, C. R., Pihl, A. F., Costa, R., Venkatesan, N. P., Lin, X., ... & Gottwein, J. M. (2021). SARS-CoV-2 Production in a Scalable High Cell Density Bioreactor. Vaccines, 9(7), 706. View at Publisher | View at Google Scholar | View at Indexing
• Brown, A. (2014). Tools for Next-Generation Transcriptional Control in Chinese Hamster Ovary Cell Factories (Doctoral dissertation, University of Sheffield). View at Publisher | View at Google Scholar | View at Indexing
• Jin, ZHANG, Xing-yi, WANG, Li, FAN, & Wen-song, TAN (2017). Titer Stability of Antibody Produced by CHO Cell Culture. Journal of East China University of Science and Technology (Natural Science Edition) , (6), 806- 814. View at Publisher | View at Google Scholar | View at Indexing
• Bustamante Álvarez, N., Ielasi, G., Bedoya, M., & Orellana Moraleda, G. (2018). Optimization of Temperature Sensing with Polymer-Embedded Luminescent Ru (II) Complexes. View at Publisher | View at Google Scholar | View at Indexing
• Kumar, D., Gangwar, N., Rathore, A. S., & Ramteke, M. (2021). Multi-objective optimization of monoclonal antibody production in bioreactor. Chemical Engineering and Processing-Process Intensification, 108720. View at Publisher | View at Google Scholar | View at Indexing
• Vieira Gomes, A. M., Souza Carmo, T., Silva Carvalho, L., Mendonça Bahia, F., & Parachin, N. S. (2018). Comparison of yeasts as hosts for recombinant protein production. Microorganisms, 6(2), 38. View at Publisher | View at Google Scholar | View at Indexing
• Campbell, K., Xia, J., & Nielsen, J. (2017). The impact of systems biology on bioprocessing. Trends in biotechnology, 35(12), 1156-1168. View at Publisher | View at Google Scholar | View at Indexing
• Huang, M., Bao, J., Hallström, B. M., Petranovic, D., & Nielsen, J. (2017). Efficient protein production by yeast requires global tuning of metabolism. Nature communications, 8(1), 1-12. View at Publisher | View at Google Scholar | View at Indexing

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