Sanjeev A. Vasudevan

256 total papers · 4.0k total citations
117 papers, 2.1k citations indexed

About

Sanjeev A. Vasudevan is a scholar working on Surgery, Oncology and Neurology. According to data from OpenAlex, Sanjeev A. Vasudevan has authored 117 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 37 papers in Oncology and 32 papers in Neurology. Recurrent topics in Sanjeev A. Vasudevan's work include Neuroblastoma Research and Treatments (29 papers), Pancreatic and Hepatic Oncology Research (18 papers) and Hepatocellular Carcinoma Treatment and Prognosis (18 papers). Sanjeev A. Vasudevan is often cited by papers focused on Neuroblastoma Research and Treatments (29 papers), Pancreatic and Hepatic Oncology Research (18 papers) and Hepatocellular Carcinoma Treatment and Prognosis (18 papers). Sanjeev A. Vasudevan collaborates with scholars based in United States, China and India. Sanjeev A. Vasudevan's co-authors include Jed G. Nuchtern, Eugene S. Kim, Jianhua Yang, Yesenia Rojas, Elizabeth A. Beierle, Kenneth W. Gow, John J. Doski, Monica Langer, Melanie Goldfarb and Zbigniew Starosolski and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sanjeev A. Vasudevan

112 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Sanjeev A. Vasudevan 793 675 531 420 352 117 2.1k
Shinsuke Suzuki 617 0.8× 730 1.1× 634 1.2× 456 1.1× 451 1.3× 140 2.5k
Paxton V. Dickson 540 0.7× 754 1.1× 822 1.5× 424 1.0× 219 0.6× 99 2.0k
Jörg Fuchs 656 0.8× 517 0.8× 946 1.8× 833 2.0× 339 1.0× 171 2.9k
Steven W. Warmann 682 0.9× 391 0.6× 669 1.3× 495 1.2× 216 0.6× 144 1.9k
Markus Steinbauer 1.1k 1.4× 806 1.2× 963 1.8× 712 1.7× 159 0.5× 86 3.2k
R. Erttmann 629 0.8× 861 1.3× 351 0.7× 561 1.3× 733 2.1× 83 2.6k
Chih‐Cheng Chen 495 0.6× 705 1.0× 518 1.0× 377 0.9× 205 0.6× 126 2.6k
Noah Federman 840 1.1× 1.0k 1.5× 295 0.6× 1.3k 3.2× 354 1.0× 140 3.0k
Bruce Morland 633 0.8× 959 1.4× 687 1.3× 581 1.4× 467 1.3× 94 2.7k
Matthias Peiper 447 0.6× 823 1.2× 708 1.3× 815 1.9× 243 0.7× 117 2.2k

Countries citing papers authored by Sanjeev A. Vasudevan

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev A. Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjeev A. Vasudevan. 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 Sanjeev A. Vasudevan. The network helps show where Sanjeev A. Vasudevan may publish in the future.

Co-authorship network of co-authors of Sanjeev A. Vasudevan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev A. Vasudevan. A scholar is included among the top collaborators of Sanjeev A. Vasudevan 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 Sanjeev A. Vasudevan. Sanjeev A. Vasudevan 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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