Hwei‐Ming Peng
- Molecular Biology top 10%
- Pharmacology top 1%
- Cell Biology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Yoshihiro MorishimaWilliam B. PrattYoichi OsawaMinor J. CoonRichard J. AuchusAndrew P. LiebermanJason E. GestwickiXinxin Ding
- Topics
- Pharmacogenetics and Drug Metabolism (18 papers)Heat shock proteins research (12 papers)Hormonal Regulation and Hypertension (8 papers)
- Cited by
- PharmacologyAgingCell Biology
- Journals
- Journal of Biological ChemistryNature CommunicationsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Hwei‐Ming Peng
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 759
- Pharmacology 291
- Cell Biology 182
- Endocrinology, Diabetes and Metabolism 165
- Cellular and Molecular Neuroscience 155
Countries citing papers authored by Hwei‐Ming Peng
This map shows the geographic impact of Hwei‐Ming Peng'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 Hwei‐Ming Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwei‐Ming Peng more than expected).
Fields of papers citing papers by Hwei‐Ming Peng
This network shows the impact of papers produced by Hwei‐Ming Peng. 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 Hwei‐Ming Peng. The network helps show where Hwei‐Ming Peng may publish in the future.
Co-authorship network of co-authors of Hwei‐Ming Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Hwei‐Ming Peng. A scholar is included among the top collaborators of Hwei‐Ming Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hwei‐Ming Peng. Hwei‐Ming Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 25 | |
| 5 | 34 | |
| 6 | 27 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 152 | |
| 10 | 35 | |
| 11 | 77 | |
| 12 | 10 | |
| 13 | 72 | |
| 14 | 15 | |
| 15 | 64 | |
| 16 | 46 | |
| 17 | 29 | |
| 18 | 61 | |
| 19 | 20 | |
| 20 | 8 |
About Hwei‐Ming Peng
Hwei‐Ming Peng is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Aging, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Heat shock proteins research (12 papers) and Hormonal Regulation and Hypertension (8 papers). The work is most often cited by research in Pharmacology (291 citations), Aging (31 citations) and Cell Biology (182 citations). Hwei‐Ming Peng has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Yoshihiro Morishima, William B. Pratt, Yoichi Osawa, Minor J. Coon, Richard J. Auchus, Andrew P. Lieberman, Jason E. Gestwicki, Xinxin Ding, Kostas P. Vatsis and Adrienne M. Wang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.
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.