Citations Report

Imaging in Medicine : Citations & Metrics Report

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

Imaging in Medicine has got h-index 20, which means every article in Imaging in Medicine has got 20 average citations.

Following are the list of articles that have cited the articles published in Imaging in Medicine.

  2021 2020 2019 2018 2017 2016

Year wise published articles

46 27 16 37 50 24

Year wise citations received

456 438 418 381 363 329
Journal total citations count 3456
Journal impact factor 6.04
Journal 5 years impact factor 8.41
Journal cite score 8.33
Journal h-index 20
Journal h-index since 2017 17
Journal Impact Factor 2020 formula
IF= Citations(y)/{Publications(y-1)+ Publications(y-2)} Y= Year
Journal 5-year Impact Factor 2020 formula
Citations(2016 + 2017 + 2018 + 2019 + 2020)/
{Published articles(2016 + 2017 + 2018 + 2019 + 2020)}
Journal citescore
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3
  • Kathuveetil A, Sylaja PN, Senthilvelan S, Chandrasekharan K, Banerjee M, Sudhir BJ. Vessel wall thickening and enhancement in high-resolution intracranial vessel wall imaging: a predictor of future ischemic events in moyamoya disease. American Journal of Neuroradiology. 2020 Jan 1;41(1):100-5. View at Publisher | View at Google Scholar | View at Indexing
  • Saba L, Lanzino G, Lucatelli P, Lavra F, Sanfilippo R, Montisci R, Suri JS, Yuan C. Carotid plaque CTA analysis in symptomatic subjects with bilateral intraplaque hemorrhage: a preliminary analysis. American Journal of Neuroradiology. 2019 Sep 1;40(9):1538-45. View at Publisher | View at Google Scholar | View at Indexing
  • Oshida S, Mori F, Sasaki M, Sato Y, Kobayshi M, Yoshida K, Fujiwara S, Ogasawara K. Wall shear stress and T1 contrast ratio are associated with embolic signals during carotid exposure in endarterectomy. Stroke. 2018 Sep;49(9):2061-6. View at Publisher | View at Google Scholar | View at Indexing
  • Gustafsson H, Hallbeck M, Norell M, Lindgren M, Engström M, Rosén A, Zachrisson H. Fe (III) distribution varies substantially within and between atherosclerotic plaques. Magnetic resonance in medicine. 2014 Feb;71(2):885-92. View at Publisher | View at Google Scholar | View at Indexing
  • Kirkham EM, Hatsukami TS, Heckbert SR, Sun J, Canton G, Yuan C, Weaver EM. Association between snoring and high-risk carotid plaque features. Otolaryngology–Head and Neck Surgery. 2017 Aug;157(2):336-44. View at Publisher | View at Google Scholar | View at Indexing
  • Liu CH, Sastre A, Conroy R, Seto B, Pettigrew RI. NIH workshop on clinical translation of molecular imaging probes and technology—Meeting report. Molecular imaging and biology. 2014 Oct;16(5):595-604. View at Publisher | View at Google Scholar | View at Indexing
  • Gai JJ, Liu HB, Juan LI, Xie LX, Zhao XH, Cheng LQ, Chen HJ, Yong WA, Yin DY, Liu JJ, Zhang XW. Neovascularization in the carotid atherosclerotic plaque is not associated with inflammatory cell aggregation. Chinese medical journal. 2013 Aug 30;126(16):3073-8. View at Publisher | View at Google Scholar | View at Indexing
  • Saba L, Mannelli L, Balestrieri A, Serra A, Bassareo P, Murgia A, Politi C, Porcu M, Crivelli P, Micheletti G, Conti M. CT and MR imaging of carotid wall and plaque. Journal of Neurosonology and Neuroimaging. 2019 Dec 30; 11 (2): 115-25. View at Publisher | View at Google Scholar | View at Indexing
  • Saba L, Sanagala SS, Gupta SK, Koppula VK, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP. Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application. Annals of Translational Medicine. 2021 Jul;9(14). View at Publisher | View at Google Scholar | View at Indexing
  • Leong SS, Vijayananthan A, Yaakup NA, Shah N, Ng KH, Acharya UR, Bilgen M. Observer performance in characterization of carotid plaque texture and surface characteristics with 3D versus 2D ultrasound. Computers in biology and medicine. 2016 Nov 1;78:58-64. View at Publisher | View at Google Scholar | View at Indexing
  • Ge X, Zhou Z, Zhao H, Li X, Sun B, Suo S, Hackett ML, Wan J, Xu J, Liu X. Evaluation of carotid plaque vulnerability in vivo: Correlation between dynamic contrast?enhanced MRI and MRI?modified AHA classification. Journal of Magnetic Resonance Imaging. 2017 Sep;46(3):870-6. View at Publisher | View at Google Scholar | View at Indexing
  • Rantner B, Sojer M, Kremser C, Cartes-Zumelzu F, Fraedrich G, Jaschke W, Chemelli-Steingruber I. Enhancement patterns in the fibro cellular tissue in different kinds of plaques of the internal carotid artery. European journal of radiology. 2013 Nov 1;82(11):1989-95. View at Publisher | View at Google Scholar | View at Indexing
  • Larivière M, Bonnet S, Lorenzato C, Laroche-Traineau J, Ottonès F, Jacobin-Valat MJ, Clofent-Sanchez G. Recent advances in the molecular imaging of atherosclerosis. InSeminars in Thrombosis and Hemostasis 2020 Jul (Vol. 46, No. 05, pp. 563-586). Thieme Medical Publishers. View at Publisher | View at Google Scholar | View at Indexing
  • GrææBe M. Carotid plaque imaging with FDG-PET and ultrasound. Imaging in Medicine. 2011 Feb 1;3(1):17. View at Publisher | View at Google Scholar | View at Indexing
  • Yang C, Canton G, Ferguson M, Yuan C, Tang D. Xueying Huang. View at Publisher | View at Google Scholar | View at Indexing
  • Chi?u M, Benedek T, Rat N, Hodas R, Mester A, Benedek A, Bordi L, Benedek I. Low-Density Carotid Plaques and the Risk of Stroke. Journal of Interdisciplinary Medicine. 2017;2(1):22-6. View at Publisher | View at Google Scholar | View at Indexing
  • Ishikawa T, Yamazaki T, Sato M, Kato N, Ishikawa E, Matsumaru Y, Matsumura A. Endovascular Stent Grafting for Recurrent Strokes Due to Fragile Innominate Artery Plaque: A Case Report. NMC Case Report Journal. 2021;8(1):21-5. View at Publisher | View at Google Scholar | View at Indexing
  • Saba L, Sanagala SS, Gupta SK, Koppula VK, Laird JR, Viswanathan V, Sanches MJ, Kitas GD, Johri AM, Sharma N, Nicolaides A. A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Transactions on Instrumentation and Measurement. 2021 Jan 18;70:1-2. View at Publisher | View at Google Scholar | View at Indexing
  • Munich N. PET/CT Imaging of Integrin avb3 Expression in Human Carotid Atherosclerosis. JACC: CARDIOVASCULAR IMAGING. 2014;7(2). View at Publisher | View at Google Scholar | View at Indexing
  • Sotaro Oshida. Wall Shear Stress and T1 Contrast Ratio Are Associated With Embolic Signals During Carotid Exposure in Endarterectomy. View at Publisher | View at Google Scholar | View at Indexing
  • Shin W, Kim SM, Choe YH. High-resolution MR Imaging of Carotid Atherosclerotic Plaques. Journal of the Korean Society of Magnetic Resonance in Medicine. 2012 Aug 1;16(2):97-102. View at Publisher | View at Google Scholar | View at Indexing
  • Fujiwara Y, Mio M. Improvement in the contrast-to-noise ratio and quantitative measurement of T 1 and T 2* values for carotid atherosclerotic plaque using multi-echo phase-sensitive inversion recovery. Radiological Physics and Technology. 2021 May 3:1-7. View at Publisher | View at Google Scholar | View at Indexing
  • Muraoka S, Taoka T, Kawai H, Okamoto S, Uda K, Naganawa S, Araki Y. Changes in Vessel Wall Enhancement Related to the Recent Neurological Symptoms in Patients with Moyamoya Disease. Neurologia medico-chirurgica. 2021:oa-2021. View at Publisher | View at Google Scholar | View at Indexing

Relevant Topics

New slither io game source: https://www.openaccessjournals.com/admin/author-interviews/slitherio/