Sumit Shah

4.8k citations
48 papers · 797 · h-index 13

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • Bladder and Urothelial Cancer Treatments 13
    • Urinary and Genital Oncology Studies 3

Sumit Shah

44 papers receiving 766 citations

Peers

Sumit Shah
Comparison fields: 5 of 99
  • Oncology 251
  • Immunology 141
  • Health Informatics 8
  • Transportation 33
  • Computer Networks and Communications 93
Replace Stefano Mariani with:
Stefano Mariani Italy
Jamie P. McCusker United States
Vincenzo Della Mea Italy
Guang Sheng Ling Hong Kong
Zhitao Ying China
Sofie Demeyer Belgium
Lin Guo China
Nathan Liu United States
Mitsuaki Akiyama Japan
Sumit Shah relative to Stefano Mariani Italy Stefano Mariani's profile →
Citations per field
00.5×3.5×
Stefano Mariani · 1×
Citations per year

Countries citing papers authored by Sumit Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sumit Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sumit Shah Line = papers co-authored together Sumit Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 2003101
3 202179
4 201164
5 200455
6 202150
7 202032
8 202026
9 201720
10 202019
11 200418
12 202116
13 201812
14 202012
15 201212
16 201812
17 202411
18 20228
19 20168
20 20237

About Sumit Shah

Sumit Shah is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 797 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (13 papers), Cancer Immunotherapy and Biomarkers (9 papers), Renal cell carcinoma treatment (6 papers), Prostate Cancer Treatment and Research (5 papers), Geographic Information Systems Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Urinary and Genital Oncology Studies (3 papers). The work is most often cited by research in Oncology (251 citations), Immunology (141 citations), Health Informatics (8 citations), Transportation (33 citations) and Computer Networks and Communications (93 citations). Sumit Shah has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Dennis Kafura, Markus Lorch, Chang‐Tien Lu, Sandy Srinivas, Ing-Ray Chen, Fenye Bao, Alice C. Fan, Robert Tibshirani, Ronald Levy and Richard T. Hoppe. Their work appears in journals such as Journal of Clinical Oncology, JCO Oncology Practice, ESMO Open, GeoInformatica and Blood.

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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