Shaogen Wu
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
-
- Hereditary Neurological Disorders
- Nerve injury and regeneration
- Neuropeptides and Animal Physiology
Papers in
- Physiology 29
- Pain Mechanisms and Treatments 29
-
- Hereditary Neurological Disorders 8
- Nerve injury and regeneration 7
- Co-authors
- Yuan‐Xiang Tao (34 shared papers)Alex Bekker (24 shared papers)Kai Mo (13 shared papers)Lingli Liang (13 shared papers)Xiyao Gu (9 shared papers)Yali Hu (5 shared papers)Brianna Marie Lutz (8 shared papers)Haixiang Sun (4 shared papers)
- Journals
- Molecular Pain (5 papers)Journal of Neuroscience (4 papers)Pain (4 papers)Neurotherapeutics (2 papers)FEBS Letters (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Shaogen Wu
44 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Physiology 1.0k
- Cellular and Molecular Neuroscience 575
- Cancer Research 444
- Anesthesiology and Pain Medicine 74
- Neurology 187
Countries citing papers authored by Shaogen Wu
This map shows the geographic impact of Shaogen 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 Shaogen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaogen Wu more than expected).
Fields of papers citing papers by Shaogen Wu
This network shows the impact of papers produced by Shaogen 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 Shaogen Wu. The network helps show where Shaogen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaogen 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 153 | |
| 2 | 2013 | 109 | |
| 3 | 2013 | 103 | |
| 4 | 2018 | 88 | |
| 5 | 2016 | 81 | |
| 6 | 2012 | 77 | |
| 7 | 2016 | 75 | |
| 8 | 2020 | 72 | |
| 9 | 2017 | 71 | |
| 10 | 2022 | 69 | |
| 11 | 2019 | 64 | |
| 12 | 2017 | 55 | |
| 13 | 2015 | 55 | |
| 14 | 2015 | 51 | |
| 15 | 2021 | 51 | |
| 16 | 2015 | 51 | |
| 17 | 2020 | 50 | |
| 18 | 2016 | 48 | |
| 19 | 2019 | 46 | |
| 20 | 2018 | 42 |
About Shaogen Wu
Shaogen Wu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Cancer Research, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (29 papers), Hereditary Neurological Disorders (8 papers), Botulinum Toxin and Related Neurological Disorders (8 papers), Nerve injury and regeneration (7 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Pain Management and Opioid Use (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Physiology (1.0k citations), Cellular and Molecular Neuroscience (575 citations), Cancer Research (444 citations), Anesthesiology and Pain Medicine (74 citations) and Neurology (187 citations). Shaogen Wu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yuan‐Xiang Tao, Alex Bekker, Kai Mo, Lingli Liang, Xiyao Gu, Yali Hu, Brianna Marie Lutz, Haixiang Sun, Ting Fang and Yue Jiang. Their work appears in journals such as Molecular Pain, Journal of Neuroscience, Pain, Neurotherapeutics and FEBS Letters.
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.