Vipul Baxi

29 total papers · 1.3k total citations
16 papers, 434 citations indexed

About

Vipul Baxi is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Vipul Baxi has authored 16 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Vipul Baxi's work include Cancer Immunotherapy and Biomarkers (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Immunotherapy and Immune Responses (3 papers). Vipul Baxi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Immunotherapy and Immune Responses (3 papers). Vipul Baxi collaborates with scholars based in United States, Switzerland and Thailand. Vipul Baxi's co-authors include Michael Montalto, Robin Edwards, Saurabh Saha, George Lee, Dimple Pandya, David Balli, David L. Rimm, Dayong Wang, Ilan Wapinski and Cyrus V. Hedvat and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Journal of Hepatology.

In The Last Decade

Vipul Baxi

15 papers receiving 429 citations

Hit Papers

Digital pathology and art... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Vipul Baxi 201 201 107 71 70 16 434
Michel E. Vandenberghe 134 0.7× 166 0.8× 113 1.1× 68 1.0× 22 0.3× 19 385
Luca L. Weishaupt 258 1.3× 216 1.1× 58 0.5× 49 0.7× 80 1.1× 6 444
John Arne Nesheim 203 1.0× 262 1.3× 214 2.0× 82 1.2× 32 0.5× 9 470
Yi‐Jia Lin 225 1.1× 168 0.8× 82 0.8× 55 0.8× 23 0.3× 30 493
Ann-Christin Woerl 181 0.9× 218 1.1× 132 1.2× 73 1.0× 37 0.5× 6 385
Kate Lillard 158 0.8× 135 0.7× 145 1.4× 57 0.8× 20 0.3× 7 383
Patrick Leo 190 0.9× 318 1.6× 72 0.7× 51 0.7× 25 0.4× 31 453
Alexander W. Jung 218 1.1× 180 0.9× 85 0.8× 120 1.7× 27 0.4× 5 373
Zhaoxuan Ma 251 1.2× 181 0.9× 64 0.6× 33 0.5× 18 0.3× 9 373
Saba Shafi 114 0.6× 122 0.6× 128 1.2× 49 0.7× 49 0.7× 42 367

Countries citing papers authored by Vipul Baxi

Since Specialization
Citations

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

Fields of papers citing papers by Vipul Baxi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipul Baxi

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