Shaogen Wu
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Physiology 28
- Pain Mechanisms and Treatments 28
- 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)Guijun Yan (4 shared papers)
- Journals
- Molecular Pain (5 papers)Pain (4 papers)Journal of Neuroscience (4 papers)Advanced Science (2 papers)Neurotherapeutics (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Shaogen Wu
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Physiology 1.0k
- Cancer Research 389
- Cellular and Molecular Neuroscience 484
- Anesthesiology and Pain Medicine 80
- Neurology 157
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 | 160 | |
| 2 | 2013 | 111 | |
| 3 | 2013 | 109 | |
| 4 | 2018 | 88 | |
| 5 | 2016 | 82 | |
| 6 | 2012 | 80 | |
| 7 | 2016 | 77 | |
| 8 | 2020 | 76 | |
| 9 | 2017 | 76 | |
| 10 | 2022 | 73 | |
| 11 | 2019 | 66 | |
| 12 | 2017 | 57 | |
| 13 | 2015 | 57 | |
| 14 | 2015 | 57 | |
| 15 | 2021 | 55 | |
| 16 | 2015 | 54 | |
| 17 | 2020 | 51 | |
| 18 | 2016 | 49 | |
| 19 | 2019 | 49 | |
| 20 | 2018 | 46 |
About Shaogen Wu
Shaogen Wu is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Cancer Research, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (28 papers), Botulinum Toxin and Related Neurological Disorders (8 papers), Hereditary Neurological Disorders (6 papers), Nerve injury and regeneration (5 papers), Cancer-related molecular mechanisms research (5 papers), Pain Management and Opioid Use (4 papers), Cancer Treatment and Pharmacology (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). The work is most often cited by research in Physiology (1.0k citations), Cancer Research (389 citations), Cellular and Molecular Neuroscience (484 citations), Anesthesiology and Pain Medicine (80 citations) and Neurology (157 citations). Shaogen Wu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Yuan‐Xiang Tao, Alex Bekker, Kai Mo, Lingli Liang, Xiyao Gu, Yali Hu, Brianna Marie Lutz, Guijun Yan, Ting Fang and Yue Jiang. Their work appears in journals such as Molecular Pain, Pain, Journal of Neuroscience, Advanced Science and Neurotherapeutics.
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.