Anup S. Shetty

125 total papers · 1.7k total citations
86 papers, 1.1k citations indexed

About

Anup S. Shetty is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anup S. Shetty has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Surgery, 27 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anup S. Shetty's work include MRI in cancer diagnosis (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Prostate Cancer Diagnosis and Treatment (11 papers). Anup S. Shetty is often cited by papers focused on MRI in cancer diagnosis (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Prostate Cancer Diagnosis and Treatment (11 papers). Anup S. Shetty collaborates with scholars based in United States, United Kingdom and Chile. Anup S. Shetty's co-authors include Christine O. Menias, Kathryn J. Fowler, Eric H. Kim, Joel Vetter, Gerald L. Andriole, Vincent M. Mellnick, Vamsi R. Narra, Maria Zulfiqar, Sanjeev Bhalla and Tyler J. Fraum and has published in prestigious journals such as Gastroenterology, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Anup S. Shetty

77 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Anup S. Shetty 375 357 333 196 163 86 1.1k
Giuseppe Cittadini 407 1.1× 573 1.6× 336 1.0× 201 1.0× 161 1.0× 77 1.3k
Dhakshinamoorthy Ganeshan 356 0.9× 320 0.9× 355 1.1× 236 1.2× 123 0.8× 60 1.2k
Terue Okamura 419 1.1× 360 1.0× 438 1.3× 262 1.3× 134 0.8× 71 1.4k
H. Rosenthal 484 1.3× 278 0.8× 222 0.7× 126 0.6× 144 0.9× 68 1.2k
Chandana Lall 470 1.3× 289 0.8× 285 0.9× 198 1.0× 195 1.2× 66 1.1k
Katashi Satoh 377 1.0× 705 2.0× 472 1.4× 210 1.1× 188 1.2× 110 1.5k
L. Van Hoe 556 1.5× 302 0.8× 329 1.0× 294 1.5× 207 1.3× 61 1.2k
Francesco Maria Drudi 501 1.3× 424 1.2× 434 1.3× 120 0.6× 149 0.9× 96 1.3k
Justin Ream 269 0.7× 432 1.2× 694 2.1× 167 0.9× 190 1.2× 61 1.2k
Wei‐Chou Chang 388 1.0× 367 1.0× 348 1.0× 258 1.3× 134 0.8× 105 1.3k

Countries citing papers authored by Anup S. Shetty

Since Specialization
Citations

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

Fields of papers citing papers by Anup S. Shetty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anup S. Shetty. 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 Anup S. Shetty. The network helps show where Anup S. Shetty may publish in the future.

Co-authorship network of co-authors of Anup S. Shetty

This figure shows the co-authorship network connecting the top 25 collaborators of Anup S. Shetty. A scholar is included among the top collaborators of Anup S. Shetty 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 Anup S. Shetty. Anup S. Shetty 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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