Shravya Shetty

64 total papers · 5.1k total citations
15 papers, 267 citations indexed

About

Shravya Shetty is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Shravya Shetty has authored 15 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Shravya Shetty's work include Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Radiology practices and education (2 papers). Shravya Shetty is often cited by papers focused on Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Radiology practices and education (2 papers). Shravya Shetty collaborates with scholars based in United States, India and Belgium. Shravya Shetty's co-authors include Daniel Tse, Yun Liu, Gavin E. Duggan, Joshua Reicher, Krishnan Eswaran, Greg S. Corrado, Sreenivasa Raju Kalidindi, Po-Hsuan Cameron Chen, Alexander Ding and Scott Mayer McKinney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Pharmacology & Therapeutics.

In The Last Decade

Shravya Shetty

12 papers receiving 257 citations

Author Peers

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

Author Last Decade Papers Cites
Shravya Shetty 166 72 67 66 33 15 267
Sagar Kulkarni 151 0.9× 80 1.1× 59 0.9× 42 0.6× 45 1.4× 23 323
Michail Mamalakis 156 0.9× 37 0.5× 69 1.0× 29 0.4× 36 1.1× 18 239
Alyssa T. Watanabe 138 0.8× 53 0.7× 111 1.7× 73 1.1× 16 0.5× 18 327
Zeno Falaschi 157 0.9× 21 0.3× 42 0.6× 53 0.8× 32 1.0× 18 257
Chiara D. Arru 225 1.4× 34 0.5× 48 0.7× 75 1.1× 59 1.8× 14 297
Yang Liu 191 1.2× 41 0.6× 74 1.1× 33 0.5× 14 0.4× 19 312
Gianmarco Della Pepa 118 0.7× 34 0.5× 37 0.6× 49 0.7× 16 0.5× 20 198
Johannes Rueckel 179 1.1× 72 1.0× 22 0.3× 108 1.6× 76 2.3× 26 313
Xin Tie 180 1.1× 56 0.8× 54 0.8× 33 0.5× 31 0.9× 24 251
Yimei Liao 66 0.4× 27 0.4× 58 0.9× 35 0.5× 26 0.8× 19 261

Countries citing papers authored by Shravya Shetty

Since Specialization
Citations

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

Fields of papers citing papers by Shravya Shetty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shravya Shetty

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