Li Wan
Impact in
- Dermatology top 1%
- Dermatology and Skin Diseases
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
- Physiology 10
- Pain Mechanisms and Treatments 8
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- Neuropeptides and Animal Physiology 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Devin M. Barry (6 shared papers)Zhou‐Feng Chen (6 shared papers)Xianyu Liu (6 shared papers)Hui Li (4 shared papers)Fu‐Quan Huo (3 shared papers)Zhongqiu Zhao (3 shared papers)Seungil Kim (3 shared papers)Xiaohong Xu (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Molecular Pain (2 papers)NeuroImage (2 papers)Scientific Reports (1 paper)Pain Research and Management (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Li Wan
41 papers receiving 705 citations
Peers
Comparison fields: 5 of 96
- Dermatology 284
- Sensory Systems 126
- Immunology and Allergy 65
- Rheumatology 108
- Behavioral Neuroscience 26
Countries citing papers authored by Li Wan
This map shows the geographic impact of Li Wan'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 Li Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wan more than expected).
Fields of papers citing papers by Li Wan
This network shows the impact of papers produced by Li Wan. 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 Li Wan. The network helps show where Li Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Wan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2013 | 88 | |
| 3 | 2016 | 71 | |
| 4 | 2014 | 57 | |
| 5 | 2017 | 48 | |
| 6 | 2014 | 45 | |
| 7 | 2016 | 26 | |
| 8 | 2022 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2015 | 12 | |
| 19 | 2006 | 11 | |
| 20 | 2021 | 11 |
About Li Wan
Li Wan is a scholar working on Physiology, Cellular and Molecular Neuroscience, Dermatology, Molecular Biology and Pathology and Forensic Medicine, having authored 44 papers that have together received 706 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Dermatology and Skin Diseases (7 papers), Ion Channels and Receptors (4 papers), Pain Management and Treatment (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Neuropeptides and Animal Physiology (3 papers), Ubiquitin and proteasome pathways (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Dermatology (284 citations), Sensory Systems (126 citations), Immunology and Allergy (65 citations), Rheumatology (108 citations) and Behavioral Neuroscience (26 citations). Li Wan has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Devin M. Barry, Zhou‐Feng Chen, Xianyu Liu, Hui Li, Fu‐Quan Huo, Zhongqiu Zhao, Seungil Kim, Xiaohong Xu, Mingzhe Liu and Jun-Kai Lin. Their work appears in journals such as Frontiers in Immunology, Molecular Pain, NeuroImage, Scientific Reports and Pain Research and Management.
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.