Suke Wang
Impact in
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- Neuropeptides and Animal Physiology
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- Regulation of Appetite and Obesity
Papers in
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- Receptor Mechanisms and Signaling 16
- Plant Gene Expression Analysis 6
- Plant Reproductive Biology 4
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- Neuropeptides and Animal Physiology 17
- Co-authors
- Marvin Bayne (15 shared papers)Eric L. Gustafson (8 shared papers)Anthony Clemmons (7 shared papers)Brian E. Hawes (4 shared papers)Steven D.E. Fried (3 shared papers)Thomas M. Laz (7 shared papers)Frederick J. Monsma (6 shared papers)Ling Pang (5 shared papers)
- Journals
- Biochemistry (10 papers)Journal of Biological Chemistry (6 papers)Molecular Pharmacology (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Suke Wang
48 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 1.0k
- Endocrine and Autonomic Systems 314
- Reproductive Medicine 192
- Molecular Biology 1.5k
- Physiology 320
Countries citing papers authored by Suke Wang
This map shows the geographic impact of Suke 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 Suke Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suke Wang more than expected).
Fields of papers citing papers by Suke Wang
This network shows the impact of papers produced by Suke 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 Suke Wang. The network helps show where Suke Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Suke 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 302 | |
| 2 | 1998 | 223 | |
| 3 | 1997 | 190 | |
| 4 | 2001 | 169 | |
| 5 | 2003 | 142 | |
| 6 | 1997 | 124 | |
| 7 | 1987 | 119 | |
| 8 | 2000 | 94 | |
| 9 | 2000 | 92 | |
| 10 | 2001 | 90 | |
| 11 | 1999 | 86 | |
| 12 | 1997 | 62 | |
| 13 | 2000 | 61 | |
| 14 | 1991 | 55 | |
| 15 | 1992 | 51 | |
| 16 | 1998 | 46 | |
| 17 | 1995 | 40 | |
| 18 | 2013 | 40 | |
| 19 | 1998 | 37 | |
| 20 | 1993 | 37 |
About Suke Wang
Suke Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Plant Science and Oncology, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (16 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers), Plant Gene Expression Analysis (6 papers), Plant Physiology and Cultivation Studies (5 papers), Postharvest Quality and Shelf Life Management (4 papers), Plant Reproductive Biology (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Endocrine and Autonomic Systems (314 citations), Reproductive Medicine (192 citations), Molecular Biology (1.5k citations) and Physiology (320 citations). Suke Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marvin Bayne, Eric L. Gustafson, Anthony Clemmons, Brian E. Hawes, Steven D.E. Fried, Thomas M. Laz, Frederick J. Monsma, Ling Pang, Catherine D. Strader and Michael Gläser. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Molecular Pharmacology, Bioorganic & Medicinal Chemistry Letters and BMC Genomics.
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.