Jay Yadav

42 papers receiving 895 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 · 535 citations
5350+8+16Years since publication100200300400500

Peers

Jay Yadav
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 719
  • Neurology 225
  • Cardiology and Cardiovascular Medicine 269
  • Epidemiology 245
  • Radiology, Nuclear Medicine and Imaging 65
Replace Jun Tanabe with:
Jun Tanabe Japan
Lin He China
Youngchai Ko South Korea
Maurizio Domanin Italy
Koroush Khalighi United States
Julia Smith United Kingdom
Elisabetta Bianchini Italy
Jianrong Li China
Tomaž Omerzu Slovenia
Jay Yadav relative to Jun Tanabe Japan Jun Tanabe's profile →
Citations per field
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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 48 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 →
2001535
2 199780
3 201456
4 200751
5 200722
6 202218
7 202018
8 202314
9 201712
10 201012
11 202012
12 202310
13 200910
14 20209
15 20189
16 20238
17 20227
18 20107
19 20197
20 20047

About Jay Yadav

Jay Yadav is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Surgery, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 48 papers that have together received 968 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), Cardiac pacing and defibrillation studies (4 papers), Leaf Properties and Growth Measurement (4 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (719 citations), Neurology (225 citations), Cardiology and Cardiovascular Medicine (269 citations), Epidemiology (245 citations) and Radiology, Nuclear Medicine and Imaging (65 citations). Jay Yadav has collaborated with scholars based in United States, India and Sri Lanka. Frequent co-authors include Gary S. Roubin, Jiri J. Vitek, Sriram S. Iyer, Nadim Al‐Mubarak, Richard E. Kuntz, Gishel New, Camilo R. Gomez, Ming W. Liu, Sunita Yadav and Brahmajee K. Nallamothu. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Cardiac Failure, Circulation, Journal of Vascular and Interventional Radiology and Radiology.

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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