Xiaosu Wu
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
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- Receptor Mechanisms and Signaling 4
-
- Asthma and respiratory diseases 3
- Alzheimer's disease research and treatments 1
- Co-authors
- Lei Ling (2 shared papers)Nicole Simonavicius (2 shared papers)Hui Tian (2 shared papers)Jinghong Wang (2 shared papers)Jeff D. Reagan (3 shared papers)Gayathri Swaminath (1 shared paper)Daryl J. Discher (2 shared papers)Nanette H. Bishopric (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Pharmacology (2 papers)European Neuropsychopharmacology (1 paper)PLoS ONE (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesRussiaChina
In The Last Decade
Xiaosu Wu
11 papers receiving 1.5k citations
Xiaosu Wu's Hit Papers
Peers
Comparison fields: 5 of 100
- Biological Psychiatry 324
- Behavioral Neuroscience 188
- Sensory Systems 82
- Cellular and Molecular Neuroscience 241
- Endocrine and Autonomic Systems 72
Countries citing papers authored by Xiaosu Wu
This map shows the geographic impact of Xiaosu Wu'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 Xiaosu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosu Wu more than expected).
Fields of papers citing papers by Xiaosu Wu
This network shows the impact of papers produced by Xiaosu Wu. 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 Xiaosu Wu. The network helps show where Xiaosu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaosu Wu, 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 | Kynurenic Acid as a Ligand for Orphan G Protein-coupled Receptor GPR35 Hit paper breakdown → | 2006 | 554 |
| 2 | 2006 | 329 | |
| 3 | 1996 | 176 | |
| 4 | 1998 | 149 | |
| 5 | 2010 | 121 | |
| 6 | 2020 | 82 | |
| 7 | 2010 | 45 | |
| 8 | 2009 | 29 | |
| 9 | 2016 | 26 | |
| 10 | 2012 | 23 | |
| 11 | 2018 | 4 |
About Xiaosu Wu
Xiaosu Wu is a scholar working on Molecular Biology, Physiology, Surgery, Cellular and Molecular Neuroscience and Social Psychology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Asthma and respiratory diseases (3 papers), Neuroendocrine regulation and behavior (2 papers), Mast cells and histamine (2 papers), Diabetes Treatment and Management (2 papers), Neuropeptides and Animal Physiology (2 papers), Diabetes Management and Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biological Psychiatry (324 citations), Behavioral Neuroscience (188 citations), Sensory Systems (82 citations), Cellular and Molecular Neuroscience (241 citations) and Endocrine and Autonomic Systems (72 citations). Xiaosu Wu has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Lei Ling, Nicole Simonavicius, Hui Tian, Jinghong Wang, Jeff D. Reagan, Gayathri Swaminath, Daryl J. Discher, Nanette H. Bishopric, Keith A. Webster and Brian J. Murphy. Their work appears in journals such as Journal of Biological Chemistry, Pharmacology, European Neuropsychopharmacology, PLoS ONE and Molecular and Cellular Biology.
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.