Suwen Wei
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Immunology top 5%
- Immune cells in cancer
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Genetics 8
- Genetic Mapping and Diversity in Plants and Animals 8
- Co-authors
- E. Richard Stanley (5 shared papers)Sayan Nandi (2 shared papers)Haishan Lin (3 shared papers)Xuming Dai (2 shared papers)Grigori Enikolopov (1 shared paper)Şölen Gökhan (1 shared paper)Yee-Guide Yeung (1 shared paper)Mark F. Mehler (1 shared paper)
- Journals
- Mammalian Genome (4 papers)Journal of Leukocyte Biology (2 papers)EXPERIMENTAL ANIMALS (2 papers)Journal of Translational Medicine (1 paper)Immunobiology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Suwen Wei
19 papers receiving 874 citations
Peers
Comparison fields: 5 of 87
- Neurology 259
- Immunology 449
- Developmental Neuroscience 60
- Biological Psychiatry 29
- Endocrine and Autonomic Systems 40
Countries citing papers authored by Suwen Wei
This map shows the geographic impact of Suwen Wei'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 Suwen Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suwen Wei more than expected).
Fields of papers citing papers by Suwen Wei
This network shows the impact of papers produced by Suwen Wei. 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 Suwen Wei. The network helps show where Suwen Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Suwen Wei, 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 | 2010 | 289 | |
| 2 | 2012 | 256 | |
| 3 | 2002 | 62 | |
| 4 | 2010 | 43 | |
| 5 | 1999 | 41 | |
| 6 | 2005 | 40 | |
| 7 | 1999 | 26 | |
| 8 | 2006 | 25 | |
| 9 | 2000 | 24 | |
| 10 | Identification of quantitative trait loci for non-insulin-dependent diabetes mellitus that interact with body weight in the Otsuka Long-Evans Tokushima Fatty rat. | 1999 | 24 |
| 11 | 1998 | 17 | |
| 12 | 2003 | 16 | |
| 13 | 1998 | 13 | |
| 14 | 2022 | 6 | |
| 15 | 1998 | 3 | |
| 16 | 2001 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 1998 | 1 | |
| 20 | 1998 | 0 |
About Suwen Wei
Suwen Wei is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Physiology, having authored 20 papers that have together received 891 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Immune cells in cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (2 papers), Chemokine receptors and signaling (2 papers), Diet, Metabolism, and Disease (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Neurology (259 citations), Immunology (449 citations), Developmental Neuroscience (60 citations), Biological Psychiatry (29 citations) and Endocrine and Autonomic Systems (40 citations). Suwen Wei has collaborated with scholars based in Japan, United States and China. Frequent co-authors include E. Richard Stanley, Sayan Nandi, Haishan Lin, Xuming Dai, Grigori Enikolopov, Şölen Gökhan, Yee-Guide Yeung, Mark F. Mehler, Wenfeng Yu and Violeta Chiţu. Their work appears in journals such as Mammalian Genome, Journal of Leukocyte Biology, EXPERIMENTAL ANIMALS, Journal of Translational Medicine and Immunobiology.
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.