Wei‐Chi Li
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Neuroscience and Music Perception 5
- Pain Management and Placebo Effect 3
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- Menstrual Health and Disorders 10
- Co-authors
- Li‐Fen Chen (21 shared papers)Jen‐Chuen Hsieh (18 shared papers)Cheng‐Hao Tu (5 shared papers)Hsiang-Tai Chao (8 shared papers)Xuelan Zeng (6 shared papers)Zhi Yu (3 shared papers)Jing‐Chun Feng (2 shared papers)Tzu‐Chen Yeh (5 shared papers)
- Journals
- Scientific Reports (4 papers)Frontiers in Neuroscience (4 papers)Frontiers in Human Neuroscience (2 papers)Journal of Psychiatric Research (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Wei‐Chi Li
27 papers receiving 412 citations
Peers
Comparison fields: 5 of 86
- Behavioral Neuroscience 53
- Biological Psychiatry 22
- Pharmacology 105
- Public Health, Environmental and Occupational Health 164
- Cognitive Neuroscience 91
Countries citing papers authored by Wei‐Chi Li
This map shows the geographic impact of Wei‐Chi Li'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‐Chi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Chi Li more than expected).
Fields of papers citing papers by Wei‐Chi Li
This network shows the impact of papers produced by Wei‐Chi Li. 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‐Chi Li. The network helps show where Wei‐Chi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Chi Li, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2016 | 55 | |
| 3 | 2016 | 35 | |
| 4 | 2017 | 31 | |
| 5 | 2019 | 29 | |
| 6 | 2023 | 26 | |
| 7 | 2021 | 21 | |
| 8 | 2018 | 19 | |
| 9 | 2014 | 19 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2017 | 3 |
About Wei‐Chi Li
Wei‐Chi Li is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Pharmacology, Physiology and Social Psychology, having authored 29 papers that have together received 416 indexed citations. Recurring topics across this work include Menstrual Health and Disorders (10 papers), Neuroscience and Music Perception (5 papers), Vehicle emissions and performance (4 papers), Stress Responses and Cortisol (4 papers), Healthcare and Venom Research (3 papers), Environmental Impact and Sustainability (3 papers), Biochemical effects in animals (3 papers) and Pain Management and Placebo Effect (3 papers). The work is most often cited by research in Behavioral Neuroscience (53 citations), Biological Psychiatry (22 citations), Pharmacology (105 citations), Public Health, Environmental and Occupational Health (164 citations) and Cognitive Neuroscience (91 citations). Wei‐Chi Li has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Li‐Fen Chen, Jen‐Chuen Hsieh, Cheng‐Hao Tu, Hsiang-Tai Chao, Xuelan Zeng, Zhi Yu, Jing‐Chun Feng, Tzu‐Chen Yeh, Chou-Ming Cheng and Hsiang‐Tai Chao. Their work appears in journals such as Scientific Reports, Frontiers in Neuroscience, Frontiers in Human Neuroscience, Journal of Psychiatric Research and Advances in experimental medicine and 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.