Jen-Chywan Wang
Impact in
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
Papers in
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- Hormonal Regulation and Hypertension 11
- Co-authors
- Taiyi KuoDaryl K. GrannerCharles HarrisTzu-Chieh ChenAmy McQueenKeith R. YamamotoDonald K. ScottNora E. Gray
- Journals
- Journal of Biological Chemistry (14 papers)Molecular Endocrinology (6 papers)Proceedings of the National Academy of Sciences (3 papers)Advances in experimental medicine and biology (3 papers)Diabetes (2 papers)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Jen-Chywan Wang
60 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Behavioral Neuroscience 200
- Endocrinology, Diabetes and Metabolism 795
- Aging 72
- Physiology 771
- Genetics 813
Countries citing papers authored by Jen-Chywan Wang
This map shows the geographic impact of Jen-Chywan Wang'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 Jen-Chywan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen-Chywan Wang more than expected).
Fields of papers citing papers by Jen-Chywan Wang
This network shows the impact of papers produced by Jen-Chywan Wang. 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 Jen-Chywan Wang. The network helps show where Jen-Chywan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jen-Chywan Wang, 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 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 43 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 29 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 49 | |
| 9 | 2015 | 22 | |
| 10 | 2015 | 39 | |
| 11 | 2012 | 39 | |
| 12 | 2010 | 11 | |
| 13 | 2010 | 87 | |
| 14 | 2010 | 143 | |
| 15 | 2009 | 139 | |
| 16 | 2006 | 74 | |
| 17 | 2004 | 31 | |
| 18 | 2000 | 37 | |
| 19 | 1999 | 65 | |
| 20 | 1995 | 200 |
About Jen-Chywan Wang
Jen-Chywan Wang is a scholar working on Fuel Technology, Endocrinology, Diabetes and Metabolism, Genetics, Aging and Physiology, having authored 60 papers that have together received 3.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (18 papers), Adipose Tissue and Metabolism (12 papers), Hormonal Regulation and Hypertension (11 papers), Pancreatic function and diabetes (9 papers), Lipid metabolism and disorders (8 papers), Retinoids in leukemia and cellular processes (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Behavioral Neuroscience (200 citations), Endocrinology, Diabetes and Metabolism (795 citations), Aging (72 citations), Physiology (771 citations) and Genetics (813 citations). Jen-Chywan Wang has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Taiyi Kuo, Daryl K. Granner, Charles Harris, Tzu-Chieh Chen, Amy McQueen, Keith R. Yamamoto, Donald K. Scott, Nora E. Gray, Daisuke Nonaka and Mika K. Derynck. Their work appears in journals such as Journal of Biological Chemistry, Molecular Endocrinology, Proceedings of the National Academy of Sciences, Advances in experimental medicine and biology and Diabetes.
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.