Payal D. Shah
- Oncology top 5%
- PARP inhibition in cancer therapy 13
- Cancer Treatment and Pharmacology 8
- HER2/EGFR in Cancer Research 6
- Cancer Immunotherapy and Biomarkers 6
- Cancer-related Molecular Pathways 5
- Cancer Research top 10%
- Genetics top 10%
- BRCA gene mutations in cancer 15
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- Chemotherapy-induced cardiotoxicity and mitigation 10
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- Advanced Breast Cancer Therapies 13
- Co-authors
- Susan M. DomchekKatherine L. NathansonAmy S. ClarkAngela R. BradburyBonnie KyMaura N. DicklerJoseph R. CarverAngela DeMichele
- Cited by
- OncologyCancer ResearchGenetics
- Journals
- Journal of Clinical Oncology (15 papers)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Payal D. Shah
66 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 478
- Cancer Research 190
- Genetics 244
- Cardiology and Cardiovascular Medicine 192
- Radiology, Nuclear Medicine and Imaging 156
Countries citing papers authored by Payal D. Shah
This map shows the geographic impact of Payal D. 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 Payal D. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payal D. Shah more than expected).
Fields of papers citing papers by Payal D. Shah
This network shows the impact of papers produced by Payal D. 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 Payal D. Shah. The network helps show where Payal D. Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Payal D. 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 | 8 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 31 | |
| 6 | 2023 | 40 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 29 | |
| 18 | 2017 | 10 | |
| 19 | 2012 | 20 | |
| 20 | 2009 | 28 |
About Payal D. Shah
Payal D. Shah is a scholar working on Oncology, Genetics and Cancer Research, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (15 papers), PARP inhibition in cancer therapy (13 papers), Advanced Breast Cancer Therapies (13 papers), Chemotherapy-induced cardiotoxicity and mitigation (10 papers), Cancer Treatment and Pharmacology (8 papers), HER2/EGFR in Cancer Research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Oncology (478 citations), Cancer Research (190 citations) and Genetics (244 citations). Payal D. Shah has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Susan M. Domchek, Katherine L. Nathanson, Amy S. Clark, Angela R. Bradbury, Bonnie Ky, Maura N. Dickler, Joseph R. Carver, Angela DeMichele, Mark E. Robson and Kevin R. Fox. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.