Gen Wen
Impact in
-
- Neuropeptides and Animal Physiology
- Neurology top 5%
- Vascular Malformations Diagnosis and Treatment
- Intracranial Aneurysms: Treatment and Complications
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
- Cell Biology 10
- Cellular transport and secretion 10
- Biotin and Related Studies 4
- Co-authors
- Bruce A. HamiltonDaniel T. O’ConnorManjula MahataFangwen RaoSushil K. MahataNicholas J. SchorkMichael G. ZieglerRany M. Salem
- Journals
- Journal of Hypertension (3 papers)Circulation (3 papers)Hypertension (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Kidney International (2 papers)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Gen Wen
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 253
- Neurology 199
- Endocrine and Autonomic Systems 75
- Cell Biology 179
- Behavioral Neuroscience 34
Countries citing papers authored by Gen Wen
This map shows the geographic impact of Gen Wen'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 Gen Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Wen more than expected).
Fields of papers citing papers by Gen Wen
This network shows the impact of papers produced by Gen Wen. 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 Gen Wen. The network helps show where Gen Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen Wen, 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 | 2012 | 9 | |
| 2 | 2012 | 55 | |
| 3 | 2011 | 6 | |
| 4 | 2010 | 15 | |
| 5 | 2010 | 8 | |
| 6 | 2010 | 6 | |
| 7 | 2009 | 46 | |
| 8 | 2008 | 48 | |
| 9 | 2008 | 2 | |
| 10 | 2008 | 35 | |
| 11 | 2008 | 25 | |
| 12 | 2008 | 15 | |
| 13 | 2007 | 23 | |
| 14 | 2007 | 8 | |
| 15 | 2007 | 39 | |
| 16 | 2006 | 25 | |
| 17 | 2005 | 68 | |
| 18 | 2005 | 67 | |
| 19 | 2004 | 75 | |
| 20 | 2004 | 90 |
About Gen Wen
Gen Wen is a scholar working on Cell Biology, Behavioral Neuroscience, Endocrine and Autonomic Systems, Molecular Biology and Clinical Biochemistry, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Receptor Mechanisms and Signaling (10 papers), Biotin and Related Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Diet and metabolism studies (3 papers), Adipose Tissue and Metabolism (3 papers), Regulation of Appetite and Obesity (3 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (253 citations), Neurology (199 citations), Endocrine and Autonomic Systems (75 citations), Cell Biology (179 citations) and Behavioral Neuroscience (34 citations). Gen Wen has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Bruce A. Hamilton, Daniel T. O’Connor, Manjula Mahata, Fangwen Rao, Sushil K. Mahata, Nicholas J. Schork, Michael G. Ziegler, Rany M. Salem, Brinda K. Rana and Nicholas M. Barbaro. Their work appears in journals such as Journal of Hypertension, Circulation, Hypertension, The Journal of Clinical Endocrinology & Metabolism and Kidney International.
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.