Sherry Shen
Impact in
-
- Cancer Risks and Factors
- Cancer survivorship and care
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
Papers in
- Oncology 21
- Cancer Treatment and Pharmacology 8
- HER2/EGFR in Cancer Research 6
- Cancer Risks and Factors 6
- Cancer Immunotherapy and Biomarkers 3
-
- Metabolism, Diabetes, and Cancer 6
- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Neil M. Iyengar (13 shared papers)Dawn L. Hershman (3 shared papers)Joseph M. Unger (3 shared papers)Cathee Till (2 shared papers)Stephen H. Tsang (2 shared papers)Sandra Naaman (1 shared paper)Jason D. Wright (2 shared papers)Scott D. Ramsey (1 shared paper)
- Journals
- Journal of Clinical Oncology (12 papers)Cancer Research (2 papers)npj Breast Cancer (2 papers)Ophthalmic Genetics (2 papers)Cancer (2 papers)
- Partner nations
- United StatesThailandSingapore
In The Last Decade
Sherry Shen
33 papers receiving 289 citations
Peers
Comparison fields: 5 of 50
- Oncology 83
- Obstetrics and Gynecology 15
- Cardiology and Cardiovascular Medicine 42
- Cancer Research 27
- Family Practice 3
Countries citing papers authored by Sherry Shen
This map shows the geographic impact of Sherry Shen'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 Sherry Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherry Shen more than expected).
Fields of papers citing papers by Sherry Shen
This network shows the impact of papers produced by Sherry Shen. 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 Sherry Shen. The network helps show where Sherry Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sherry Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2018 | 35 | |
| 3 | 2022 | 32 | |
| 4 | 2013 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2014 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Sherry Shen
Sherry Shen is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Cancer Research, having authored 34 papers that have together received 289 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Advanced Breast Cancer Therapies (7 papers), Metabolism, Diabetes, and Cancer (6 papers), HER2/EGFR in Cancer Research (6 papers), Cancer Risks and Factors (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Breast Cancer Treatment Studies (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Oncology (83 citations), Obstetrics and Gynecology (15 citations), Cardiology and Cardiovascular Medicine (42 citations), Cancer Research (27 citations) and Family Practice (3 citations). Sherry Shen has collaborated with scholars based in United States, Thailand and Singapore. Frequent co-authors include Neil M. Iyengar, Dawn L. Hershman, Joseph M. Unger, Cathee Till, Stephen H. Tsang, Sandra Naaman, Jason D. Wright, Scott D. Ramsey, William E. Barlow and Yuan Chen. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, npj Breast Cancer, Ophthalmic Genetics and Cancer.
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.