Jay Yadav

1.3k citations
44 papers · 893 · 1 hit paper · h-index 11

Impact in

Papers in

Jay Yadav

40 papers receiving 838 citations

Jay Yadav's Hit Papers

Immediate and Late Clinical Outcomes of Carotid Artery Stenting in Patients With Symptomatic and Asymptomatic Carotid Artery Stenosis 2001 · 511 citations
5110+8+16Years since publication100200300400500

Peers

Jay Yadav
Comparison fields: 5 of 71
  • Neurology 392
  • Pulmonary and Respiratory Medicine 707
  • Cardiology and Cardiovascular Medicine 460
  • Epidemiology 414
  • Rheumatology 50
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Jun Tanabe Japan
Julia Smith United Kingdom
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Jay Yadav relative to Jun Tanabe Japan Jun Tanabe's profile →
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Citations per year

Countries citing papers authored by Jay Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Jay Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Yadav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Yadav Line = papers co-authored together Jay Yadav links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immediate and Late Clinical Outcomes of Carotid Artery Stenting in Patients With Symptomatic and Asymptomatic Carotid Artery Stenosis
Hit paper breakdown →
2001511
2 199770
3 201453
4 200750
5 200722
6 202216
7 202014
8 201011
9 202310
10 200910
11 202010
12 20179
13 20208
14 20188
15 20237
16 20237
17 20047
18 20106
19 20226
20 20145

About Jay Yadav

Jay Yadav is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 893 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), Retinal Imaging and Analysis (7 papers), Smart Agriculture and AI (6 papers), Glaucoma and retinal disorders (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Neurology (392 citations), Pulmonary and Respiratory Medicine (707 citations), Cardiology and Cardiovascular Medicine (460 citations), Epidemiology (414 citations) and Rheumatology (50 citations). Jay Yadav has collaborated with scholars based in India, United States and France. Frequent co-authors include Gary S. Roubin, Jiri J. Vitek, Sriram S. Iyer, Nadim Al‐Mubarak, Richard E. Kuntz, Ming W. Liu, Camilo R. Gomez, Gishel New, Sunita Yadav and Hitinder S. Gurm. Their work appears in journals such as Journal of Cardiac Failure, Journal of the American College of Cardiology, Circulation, Journal of Vascular and Interventional Radiology and Sadhana.

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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