Jay Yadav

77 total papers · 1.3k total citations
45 papers, 889 citations indexed

About

Jay Yadav is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jay Yadav has authored 45 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jay Yadav's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Retinal Imaging and Analysis (7 papers) and Smart Agriculture and AI (6 papers). Jay Yadav is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Retinal Imaging and Analysis (7 papers) and Smart Agriculture and AI (6 papers). Jay Yadav collaborates with scholars based in India, United States and France. Jay Yadav's co-authors include Gary S. Roubin, Sriram S. Iyer, Jiri J. Vitek, Ming W. Liu, Camilo R. Gomez, Gishel New, Nadim Al‐Mubarak, Richard E. Kuntz, Sunita Yadav and Hitinder S. Gurm and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jay Yadav

41 papers receiving 834 citations

Hit Papers

Immediate and Late Clinic... 2001 2026 2009 2017 2001 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jay Yadav 707 461 414 393 87 45 889
Hashem Shaltoni 543 0.8× 134 0.3× 630 1.5× 533 1.4× 86 1.0× 49 1.0k
Jim Jannes 224 0.3× 171 0.4× 487 1.2× 131 0.3× 38 0.4× 60 877
Lin He 251 0.4× 388 0.8× 189 0.5× 119 0.3× 174 2.0× 53 844
Nishath Altaf 845 1.2× 486 1.1× 374 0.9× 184 0.5× 230 2.6× 33 927
Jiangtao Yan 85 0.1× 247 0.5× 54 0.1× 145 0.4× 131 1.5× 39 800
Mariana Selwaness 494 0.7× 471 1.0× 207 0.5× 73 0.2× 157 1.8× 23 808
Fujimaro Ishida 395 0.6× 56 0.1× 81 0.2× 629 1.6× 61 0.7× 53 743
Jayesh Modi 448 0.6× 65 0.1× 588 1.4× 258 0.7× 63 0.7× 28 805
Gerrit L. ten Kate 442 0.6× 486 1.1× 165 0.4× 29 0.1× 149 1.7× 22 796
S. Homma 203 0.3× 478 1.0× 135 0.3× 147 0.4× 312 3.6× 37 980

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-authorship network of co-authors of Jay Yadav

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

All Works

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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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