Neil J. Shah
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 38
- Pancreatic and Hepatic Oncology Research 10
- Colorectal Cancer Treatments and Studies 9
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- Renal cell carcinoma treatment 31
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 15
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- Phagocytosis and Immune Regulation 7
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- Renal and related cancers 12
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- Bladder and Urothelial Cancer Treatments 11
- Co-authors
- William KellyMichael B. AtkinsDeepa S. SubramaniamStephen V. LiuRobert J. MotzerMartin H. VossAnas BeloualiSubha Madhavan
- Journals
- The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (37 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Neil J. Shah
69 papers receiving 779 citations
Peers
Comparison fields: 5 of 89
- Oncology 444
- Pulmonary and Respiratory Medicine 423
- Cancer Research 160
- Hepatology 38
- Immunology 92
Countries citing papers authored by Neil J. Shah
This map shows the geographic impact of Neil J. 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 Neil J. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil J. Shah more than expected).
Fields of papers citing papers by Neil J. Shah
This network shows the impact of papers produced by Neil J. 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 Neil J. Shah. The network helps show where Neil J. Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil J. Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 15 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 105 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 39 | |
| 16 | 2021 | 12 | |
| 17 | 2019 | 14 | |
| 18 | 2019 | 83 | |
| 19 | 2018 | 64 | |
| 20 | 2017 | 47 |
About Neil J. Shah
Neil J. Shah is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 83 papers that have together received 792 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (38 papers), Renal cell carcinoma treatment (31 papers), Cancer Genomics and Diagnostics (15 papers), Renal and related cancers (12 papers), Bladder and Urothelial Cancer Treatments (11 papers), Pancreatic and Hepatic Oncology Research (10 papers), Colorectal Cancer Treatments and Studies (9 papers) and Phagocytosis and Immune Regulation (7 papers). The work is most often cited by research in Oncology (444 citations), Pulmonary and Respiratory Medicine (423 citations) and Cancer Research (160 citations). Neil J. Shah has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include William Kelly, Michael B. Atkins, Deepa S. Subramaniam, Stephen V. Liu, Robert J. Motzer, Martin H. Voss, Anas Belouali, Subha Madhavan, David H. Aggen and Ritesh R. Kotecha. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.