Shawn Pan
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Epigenetics and DNA Methylation 1
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Ernst Lengyel (5 shared papers)Mark A. Eckert (5 shared papers)Ricardo R. Lastra (4 shared papers)S. Diane Yamada (4 shared papers)Jorge Andrade (3 shared papers)Kyle M. Hernandez (3 shared papers)Ruth Perets (2 shared papers)Agnieszka Chryplewicz (3 shared papers)
- Journals
- Environmental Health Perspectives (1 paper)The FASEB Journal (1 paper)Nature (1 paper)Oncotarget (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Shawn Pan
6 papers receiving 564 citations
Shawn Pan's Hit Papers
Peers
Comparison fields: 5 of 78
- Reproductive Medicine 108
- Cancer Research 138
- Geriatrics and Gerontology 31
- Oncology 138
- Obstetrics and Gynecology 33
Countries citing papers authored by Shawn Pan
This map shows the geographic impact of Shawn Pan'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 Shawn Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Pan more than expected).
Fields of papers citing papers by Shawn Pan
This network shows the impact of papers produced by Shawn Pan. 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 Shawn Pan. The network helps show where Shawn Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shawn Pan, 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 | Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts Hit paper breakdown → | 2019 | 336 |
| 2 | 2016 | 136 | |
| 3 | 2015 | 57 | |
| 4 | 2015 | 34 | |
| 5 | 2012 | 6 | |
| 6 | 2019 | 1 | |
| 7 | SEAWAY: A Multi-Agent Decision-Support System for Naval Expeditionary Logistic Operations | 2000 | 1 |
| 8 | Nicotinamide N-methyltransferase metabolically reprograms the stroma to promote ovarian cancer metastasis. | 2018 | 0 |
About Shawn Pan
Shawn Pan is a scholar working on Molecular Biology, Cancer Research, Oncology, Cellular and Molecular Neuroscience and Information Systems, having authored 8 papers that have together received 571 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (1 paper), AI-based Problem Solving and Planning (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Reproductive Medicine (108 citations), Cancer Research (138 citations), Geriatrics and Gerontology (31 citations), Oncology (138 citations) and Obstetrics and Gynecology (33 citations). Shawn Pan has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Ernst Lengyel, Mark A. Eckert, Ricardo R. Lastra, S. Diane Yamada, Jorge Andrade, Kyle M. Hernandez, Ruth Perets, Agnieszka Chryplewicz, Stephanie M. McGregor and Marion Curtis. Their work appears in journals such as Environmental Health Perspectives, The FASEB Journal, Nature, Oncotarget and Cancer Discovery.
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.