Jeevesh Kapur

1.4k total citations
34 papers, 477 citations indexed

About

Jeevesh Kapur is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Surgery. According to data from OpenAlex, Jeevesh Kapur has authored 34 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Critical Care and Intensive Care Medicine and 8 papers in Surgery. Recurrent topics in Jeevesh Kapur's work include Ultrasound in Clinical Applications (9 papers), Radiation Dose and Imaging (5 papers) and Radiology practices and education (5 papers). Jeevesh Kapur is often cited by papers focused on Ultrasound in Clinical Applications (9 papers), Radiation Dose and Imaging (5 papers) and Radiology practices and education (5 papers). Jeevesh Kapur collaborates with scholars based in Singapore, Canada and United States. Jeevesh Kapur's co-authors include Jacob L. Jaremko, Calvin Wai-Loon Ho, Derek Soon, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar, Fatemeh Abdolali, Paul Babyn, David Malkin and Yung Seng Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Radiology.

In The Last Decade

Jeevesh Kapur

31 papers receiving 469 citations

Peers

Jeevesh Kapur

RNMI

SURGE

PRM

Sukrit Narula United States

Laith R. Sultan United States

Martina Caruso Italy

Christopher P. Bridge United States

Wenjuan Li China

Linyuan Jing United States

Guorong Lyu China

Sergio Sanchez‐Martinez Spain

Christina Luong Canada

Dustin N. Hartzel United States

Sukrit Narula United States

Jeevesh Kapur

218 ×1.3

RNMI

56 ×0.7

84 ×1.1

125 ×1.6

SURGE

68 ×0.9

PRM

Citations per year, relative to Jeevesh Kapur Jeevesh Kapur (= 1×) peers Sukrit Narula

Countries citing papers authored by Jeevesh Kapur

Since Specialization

Citations

This map shows the geographic impact of Jeevesh Kapur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeevesh Kapur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeevesh Kapur more than expected).

Fields of papers citing papers by Jeevesh Kapur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeevesh Kapur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeevesh Kapur. The network helps show where Jeevesh Kapur may publish in the future.

Co-authorship network of co-authors of Jeevesh Kapur

This figure shows the co-authorship network connecting the top 25 collaborators of Jeevesh Kapur. A scholar is included among the top collaborators of Jeevesh Kapur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeevesh Kapur. Jeevesh Kapur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kapur, Jeevesh, et al.. (2026). A modern radiologist’s guide to artificial intelligence. Pediatric Radiology.

Vega, Roberto, Arun Nagdev, Masood Dehghan, et al.. (2025). A wall tracking method to estimate ejection fraction from the parasternal long axis view in point of care ultrasound. SHILAP Revista de lepidopterología. 3(2). 100097–100097. 1 indexed citations

Chng, Seo Yi, Yung Seng Lee, Lionel Tim‐Ee Cheng, et al.. (2025). Ethical considerations in AI for child health and recommendations for child-centered medical AI. npj Digital Medicine. 8(1). 152–152. 9 indexed citations

Vega, Roberto, Masood Dehghan, Arun Nagdev, et al.. (2025). Overcoming barriers in the use of artificial intelligence in point of care ultrasound. npj Digital Medicine. 8(1). 213–213. 7 indexed citations

Ling, Ryan Ruiyang, Yiong‐Huak Chan, José M. Porcel, et al.. (2024). DUETS for Light's in separating exudate from transudate. Respirology. 29(11). 976–984. 4 indexed citations

Dehghan, Masood, et al.. (2024). Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines. Diagnostics. 14(22). 2526–2526. 5 indexed citations

Qin, Xuebin, Masood Dehghan, Dornoosh Zonoobi, et al.. (2023). ACU2E-Net: A novel predict–refine attention network for segmentation of soft-tissue structures in ultrasound images. Computers in Biology and Medicine. 157. 106792–106792. 4 indexed citations

Zonoobi, Dornoosh, Russell Greiner, Jacob L. Jaremko, et al.. (2021). Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19. Informatics in Medicine Unlocked. 25. 100687–100687. 26 indexed citations

Vega, Roberto, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, et al.. (2021). Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. International Conference on Artificial Intelligence and Statistics. 739–747. 3 indexed citations

10.

Abdolali, Fatemeh, Jeevesh Kapur, Jacob L. Jaremko, et al.. (2020). Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. Computers in Biology and Medicine. 122. 103871–103871. 81 indexed citations

11.

Ho, Calvin Wai-Loon, et al.. (2019). Governance of automated image analysis and artificial intelligence analytics in healthcare. Clinical Radiology. 74(5). 329–337. 82 indexed citations

12.

Ting, Eric, et al.. (2019). Imaging findings on contrast-enhanced ultrasound, magnetic resonance imaging and hybrid positron emission tomography in Takayasu arteritis: a case report. Medical Ultrasonography. 22(4). 485–485.

13.

Lim, Jeong Hoon, et al.. (2019). Effect of a Soft Robotic Sock Device on Lower Extremity Rehabilitation Following Stroke: A Preliminary Clinical Study With Focus on Deep Vein Thrombosis Prevention. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–6. 11 indexed citations

14.

Zonoobi, Dornoosh, Abhilash Rakkunedeth Hareendranathan, Myles Mabee, et al.. (2018). Developmental Hip Dysplasia Diagnosis at Three-dimensional US: A Multicenter Study. Radiology. 287(3). 1003–1015. 22 indexed citations

15.

Tint, Mya Thway, Mary Foong‐Fong Chong, Izzuddin M. Aris, et al.. (2018). Association between maternal mid-gestation vitamin D status and neonatal abdominal adiposity. International Journal of Obesity. 42(7). 1296–1305. 13 indexed citations

16.

Kapur, Jeevesh, et al.. (2016). Sonography of the Pediatric Chest. Journal of Ultrasound in Medicine. 35(5). 1067–1080. 16 indexed citations

17.

Kapur, Jeevesh, et al.. (2016). A soft robotic sock device for ankle rehabilitation and prevention of deep vein thrombosis. 753–758. 9 indexed citations

18.

Tint, Mya Thway, Marielle V. Fortier, Keith M. Godfrey, et al.. (2016). Abdominal adipose tissue compartments vary with ethnicity in Asian neonates: Growing Up in Singapore Toward Healthy Outcomes birth cohort study. American Journal of Clinical Nutrition. 103(5). 1311–1317. 20 indexed citations

19.

Ooi, Delicia Shu Qin, Jeevesh Kapur, Ting Wu, et al.. (2015). The role of digestive factors in determining glycemic response in a multiethnic Asian population. European Journal of Nutrition. 55(4). 1573–1581. 31 indexed citations

20.

Kapur, Jeevesh, et al.. (2011). Imaging of Cancer Predisposition Syndromes in Children. Radiographics. 31(1). 263–280. 46 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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