Jayant Kumar Yadav

48 total papers · 588 total citations
30 papers, 355 citations indexed

About

Jayant Kumar Yadav is a scholar working on Neurology, Epidemiology and Internal Medicine. According to data from OpenAlex, Jayant Kumar Yadav has authored 30 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 8 papers in Epidemiology and 7 papers in Internal Medicine. Recurrent topics in Jayant Kumar Yadav's work include Venous Thromboembolism Diagnosis and Management (7 papers), Acute Ischemic Stroke Management (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jayant Kumar Yadav is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (7 papers), Acute Ischemic Stroke Management (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jayant Kumar Yadav collaborates with scholars based in Nepal, United States and Singapore. Jayant Kumar Yadav's co-authors include Gaurav Nepal, Rajeev Ojha, Yow Ka Shing, Dong Huang, Gentle Sunder Shrestha, Gaurab Pokhrel, Bikram Prasad Gajurel, Sanjeev Kharel, Khizer Khalid and Jaskamal Padda and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Gastroenterology and Medicine.

In The Last Decade

Jayant Kumar Yadav

25 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Jayant Kumar Yadav 220 93 74 48 29 30 355
Brandi R French 208 0.9× 131 1.4× 132 1.8× 35 0.7× 29 1.0× 30 403
Fernando Sierra‐Hidalgo 136 0.6× 71 0.8× 27 0.4× 23 0.5× 22 0.8× 36 335
Federica Viaro 189 0.9× 187 2.0× 53 0.7× 35 0.7× 37 1.3× 30 373
Courtney Takahashi 200 0.9× 115 1.2× 36 0.5× 19 0.4× 20 0.7× 20 332
Reza Gorji 163 0.7× 88 0.9× 43 0.6× 13 0.3× 10 0.3× 23 324
Jason Siegel 166 0.8× 70 0.8× 37 0.5× 12 0.3× 11 0.4× 37 385
K. Bouslama 115 0.5× 32 0.3× 93 1.3× 9 0.2× 12 0.4× 45 348
Mengmeng Ma 42 0.2× 90 1.0× 71 1.0× 12 0.3× 9 0.3× 47 335
E Signorini 121 0.6× 105 1.1× 11 0.1× 14 0.3× 18 0.6× 24 387
Ludovico Ciolli 100 0.5× 155 1.7× 24 0.3× 34 0.7× 49 1.7× 26 304

Countries citing papers authored by Jayant Kumar Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Jayant Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayant Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Jayant Kumar Yadav. A scholar is included among the top collaborators of Jayant Kumar 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 Jayant Kumar Yadav. Jayant Kumar 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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