Sunny Virmani

767 total citations
10 papers, 254 citations indexed

About

Sunny Virmani is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Ophthalmology. According to data from OpenAlex, Sunny Virmani has authored 10 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Epidemiology and 3 papers in Ophthalmology. Recurrent topics in Sunny Virmani's work include Retinal Imaging and Analysis (5 papers), Acute Ischemic Stroke Management (4 papers) and MRI in cancer diagnosis (3 papers). Sunny Virmani is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Acute Ischemic Stroke Management (4 papers) and MRI in cancer diagnosis (3 papers). Sunny Virmani collaborates with scholars based in United States, Finland and India. Sunny Virmani's co-authors include Rajiv Raman, Ramachandran Rajalakshmi, Sobha Sivaprasad, Chetan Rao, Sangeetha Srinivasan, Jan Willem Dankbaar, Benison Lau, Thomas Schneider, Max Wintermark and Scott Pohlman and has published in prestigious journals such as Nature Medicine, American Journal of Neuroradiology and JAMA Network Open.

In The Last Decade

Sunny Virmani

10 papers receiving 246 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sunny Virmani United States	7	172	82	55	40	34	10	254
Hironobu Tampo Japan	8	318 1.8×	293 3.6×	36 0.7×	50 1.3×	46 1.4×	28	432
Saad Khan United Kingdom	5	157 0.9×	111 1.4×	46 0.8×	22 0.6×	4 0.1×	7	263
Hoon Dong Kim South Korea	9	183 1.1×	194 2.4×	18 0.3×	32 0.8×	18 0.5×	24	291
Shanjun Wu China	8	225 1.3×	221 2.7×	61 1.1×	22 0.6×	7 0.2×	18	350
Geunyoung Lee Singapore	13	361 2.1×	269 3.3×	55 1.0×	23 0.6×	6 0.2×	20	464
Weihong Yu China	14	473 2.8×	473 5.8×	29 0.5×	47 1.2×	40 1.2×	51	606
Robbert Struyven United Kingdom	8	179 1.0×	157 1.9×	23 0.4×	12 0.3×	7 0.2×	19	248
Jonathan D. Walker United States	7	358 2.1×	437 5.3×	20 0.4×	85 2.1×	17 0.5×	13	558
Ilana Traynis United States	6	213 1.2×	218 2.7×	17 0.3×	12 0.3×	9 0.3×	13	323
Zhongwen Li China	11	286 1.7×	246 3.0×	29 0.5×	43 1.1×	5 0.1×	23	341

Countries citing papers authored by Sunny Virmani

Since Specialization

Citations

This map shows the geographic impact of Sunny Virmani'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 Sunny Virmani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunny Virmani more than expected).

Fields of papers citing papers by Sunny Virmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunny Virmani. 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 Sunny Virmani. The network helps show where Sunny Virmani may publish in the future.

Co-authorship network of co-authors of Sunny Virmani

This figure shows the co-authorship network connecting the top 25 collaborators of Sunny Virmani. A scholar is included among the top collaborators of Sunny Virmani 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 Sunny Virmani. Sunny Virmani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Brant, Arthur, Preeti Singh, Xiang Yin, et al.. (2025). Performance of a Deep Learning Diabetic Retinopathy Algorithm in India. JAMA Network Open. 8(3). e250984–e250984. 1 indexed citations

Praveen, Pradeep A., Arthur Brant, Xiang Yin, et al.. (2025). Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes. Ophthalmology and Therapy. 14(5). 1147–1155. 2 indexed citations

Bora, Ashish, Richa Tiwari, Sunny Virmani, et al.. (2023). Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study. Translational Vision Science & Technology. 12(12). 11–11. 5 indexed citations

Widner, Kasumi, Sunny Virmani, Jonathan Krause, et al.. (2023). Lessons learned from translating AI from development to deployment in healthcare. Nature Medicine. 29(6). 1304–1306. 33 indexed citations

Raman, Rajiv, Sangeetha Srinivasan, Sunny Virmani, et al.. (2018). Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy. Eye. 33(1). 97–109. 105 indexed citations

Dankbaar, Jan Willem, Jason Hom, Thomas Schneider, et al.. (2009). Age- and anatomy-related values of blood-brain barrier permeability measured by perfusion-CT in non-stroke patients. Journal of Neuroradiology. 36(4). 219–227. 26 indexed citations

Cuisenaire, O., Sunny Virmani, Mark E. Olszewski, & Roberto Ardon. (2008). Fully automated segmentation of carotid and vertebral arteries from contrast enhanced CTA. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6914. 69143R–69143R. 11 indexed citations

Dankbaar, Jan Willem, Jason Hom, Thomas Schneider, et al.. (2008). Dynamic Perfusion CT Assessment of the Blood-Brain Barrier Permeability: First Pass versus Delayed Acquisition. American Journal of Neuroradiology. 29(9). 1671–1676. 52 indexed citations

Juchems, Markus, et al.. (2008). Electronic colon-cleansing for CT colonography: diagnostic performance. Abdominal Imaging. 34(3). 359–364. 7 indexed citations

10.

Dankbaar, Jan Willem, Jason Hom, Thomas Schneider, et al.. (2008). Accuracy and Anatomical Coverage of Perfusion CT Assessment of the Blood-Brain Barrier Permeability: One Bolus versus Two Boluses. Cerebrovascular Diseases. 26(6). 600–605. 12 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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