Sumit Shah

4.8k citations
48 papers · 869 · 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 836 citations

Peers

Sumit Shah
Comparison fields: 5 of 102
  • Oncology 255
  • Immunology 149
  • Health Informatics 9
  • Information Systems 123
  • Transportation 35
Replace Jamie P. McCusker with:
Jamie P. McCusker United States
Vincenzo Della Mea Italy
Guang Sheng Ling Hong Kong
Mitsuaki Akiyama Japan
Antonio Marra Italy
Youngjoong Ko South Korea
Wei Song China
Pan Sun China
Zhitao Ying China
Sumit Shah relative to Jamie P. McCusker United States Jamie P. McCusker's profile →
Citations per field
00.5×10×15×17.5×
Jamie P. McCusker · 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 2011171
2 2003129
3 202179
4 201175
5 200465
6 202151
7 202033
8 202026
9 200424
10 201720
11 202020
12 202116
13 201813
14 201812
15 202012
16 201212
17 202411
18 20228
19 20158
20 20168

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 869 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 (255 citations), Immunology (149 citations), Health Informatics (9 citations), Information Systems (123 citations) and Transportation (35 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, Fenye Bao, Ing-Ray Chen, Sandy Srinivas, Alice C. Fan, Bharathi Lingala, Debra K. Czerwinski and Weiyun Z. Ai. Their work appears in journals such as Journal of Clinical Oncology, Urologic Oncology Seminars and Original Investigations, Blood, ESMO Open and JCO Oncology Practice.

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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