Neel Shah
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Cancer Research top 5%
- Genetics top 10%
- Oncology
- Co-authors
- John WongvipatCharles L. SawyersDeyou ZhengVivek AroraRajmohan MuraliEleni EfstathiouMinna BalbasSumit K. Subudhi
- Topics
- Prostate Cancer Treatment and Research (8 papers)Estrogen and related hormone effects (3 papers)PARP inhibition in cancer therapy (3 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Neel Shah
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 827
- Molecular Biology 484
- Cancer Research 317
- Genetics 255
- Oncology 232
Countries citing papers authored by Neel Shah
This map shows the geographic impact of Neel 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 Neel Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neel Shah more than expected).
Fields of papers citing papers by Neel Shah
This network shows the impact of papers produced by Neel 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 Neel Shah. The network helps show where Neel Shah may publish in the future.
Co-authorship network of co-authors of Neel Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Neel Shah. A scholar is included among the top collaborators of Neel Shah 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 Neel Shah. Neel Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 57 | |
| 8 | 136 | |
| 9 | 6 | |
| 10 | 96 | |
| 11 | 14 | |
| 12 | 19 | |
| 13 | 7 | |
| 14 | 34 | |
| 15 | Glucocorticoid Receptor Confers Resistance to Antiandrogens by Bypassing Androgen Receptor Blockadebreakdown → | 703 |
| 16 | 79 | |
| 17 | Distal urethral reconstruction with AlloDerm: a case report and review of the literature. | 8 |
| 18 | 22 | |
| 19 | Relapsed diffuse large B-cell lymphoma--10 years later. | 5 |
| 20 | Induction of differentiation of colon cancer cells by combined inhibition of kinases and histone deacetylase. | 29 |
About Neel Shah
Neel Shah is a scholar working on Biological Psychiatry, Pulmonary and Respiratory Medicine and Cancer Research, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Estrogen and related hormone effects (3 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (827 citations), Cancer Research (317 citations) and Endocrinology, Diabetes and Metabolism (195 citations). Neel Shah has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include John Wongvipat, Charles L. Sawyers, Deyou Zheng, Vivek Arora, Rajmohan Murali, Eleni Efstathiou, Minna Balbas, Sumit K. Subudhi, Ling Cai and Jon J.P. Warner. Their work appears in journals such as Nature, Cell and Journal of Clinical Oncology.
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.