Bryan C. Tan
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolism, Diabetes, and Cancer 1
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- David L. Silver (7 shared papers)Yen Ching Lim (3 shared papers)Long N. Nguyen (2 shared papers)Agata Korecka (1 shared paper)Zachary E. McPherson (1 shared paper)Sven Pettersson (1 shared paper)Chandrakumar Balaratnasingam (1 shared paper)Vera J. Goh (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Lipid Research (1 paper)Cancer Immunology Immunotherapy (1 paper)Cancer Science (1 paper)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Bryan C. Tan
14 papers receiving 486 citations
Peers
Comparison fields: 5 of 84
- Biochemistry 104
- Biological Psychiatry 17
- Cancer Research 85
- Cell Biology 77
- Molecular Biology 261
Countries citing papers authored by Bryan C. Tan
This map shows the geographic impact of Bryan C. Tan'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 Bryan C. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan C. Tan more than expected).
Fields of papers citing papers by Bryan C. Tan
This network shows the impact of papers produced by Bryan C. Tan. 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 Bryan C. Tan. The network helps show where Bryan C. Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan C. Tan, 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 | 2020 | 77 | |
| 2 | 2014 | 75 | |
| 3 | 2014 | 52 | |
| 4 | 2023 | 49 | |
| 5 | 2016 | 48 | |
| 6 | 2022 | 34 | |
| 7 | 2015 | 33 | |
| 8 | 2022 | 31 | |
| 9 | 2023 | 28 | |
| 10 | 2022 | 26 | |
| 11 | 2013 | 22 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 |
About Bryan C. Tan
Bryan C. Tan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 491 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (3 papers), Diet, Metabolism, and Disease (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pancreatic function and diabetes (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Biochemistry (104 citations), Biological Psychiatry (17 citations), Cancer Research (85 citations), Cell Biology (77 citations) and Molecular Biology (261 citations). Bryan C. Tan has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include David L. Silver, Yen Ching Lim, Long N. Nguyen, Agata Korecka, Zachary E. McPherson, Sven Pettersson, Chandrakumar Balaratnasingam, Vera J. Goh, Dong An and Dao‐Yi Yu. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Lipid Research, Cancer Immunology Immunotherapy and Cancer Science.
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.