Wei Wan
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Ion channel regulation and function 4
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
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- Gallbladder and Bile Duct Disorders 3
- Metastasis and carcinoma case studies 3
- Co-authors
- Peihua Zhang (4 shared papers)Jihua Ma (4 shared papers)Lin Wu (2 shared papers)Tony Kiat Hon Lim (5 shared papers)Wei Qiang Leow (5 shared papers)Qiong Tang (1 shared paper)Jun Wu (2 shared papers)George Boon‐Bee Goh (4 shared papers)
- Journals
- Neurobiology of Learning and Memory (2 papers)Scientific Reports (2 papers)Acta Biochimica et Biophysica Sinica (1 paper)Journal of Proteome Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Wei Wan
46 papers receiving 629 citations
Peers
Comparison fields: 5 of 93
- Biological Psychiatry 57
- Behavioral Neuroscience 40
- Neurology 38
- Sensory Systems 22
- Cancer Research 55
Countries citing papers authored by Wei Wan
This map shows the geographic impact of Wei 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 Wei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wan more than expected).
Fields of papers citing papers by Wei Wan
This network shows the impact of papers produced by Wei 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 Wei Wan. The network helps show where Wei Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | 2011 | 44 | |
| 3 | 2012 | 40 | |
| 4 | 2021 | 36 | |
| 5 | 2016 | 31 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 21 | |
| 13 | 2022 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2020 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2012 | 12 |
About Wei Wan
Wei Wan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 55 papers that have together received 634 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Ion channel regulation and function (4 papers), Epigenetics and DNA Methylation (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Tryptophan and brain disorders (3 papers), RNA modifications and cancer (3 papers) and Metastasis and carcinoma case studies (3 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Behavioral Neuroscience (40 citations), Neurology (38 citations), Sensory Systems (22 citations) and Cancer Research (55 citations). Wei Wan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Peihua Zhang, Jihua Ma, Lin Wu, Tony Kiat Hon Lim, Wei Qiang Leow, Qiong Tang, Jun Wu, George Boon‐Bee Goh, Linghao Kong and Bing Hu. Their work appears in journals such as Neurobiology of Learning and Memory, Scientific Reports, Acta Biochimica et Biophysica Sinica, Journal of Proteome Research and PLoS ONE.
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.