Wei‐Chen Lin
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Pharmacology top 5%
- Treatment of Major Depression
Papers in
- Pharmacology 14
- Treatment of Major Depression 14
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- Transcranial Magnetic Stimulation Studies 5
- Co-authors
- Cheng‐Ta Li (33 shared papers)Mu‐Hong Chen (32 shared papers)Kai‐Chun Yang (1 shared paper)Pei‐Chi Tu (19 shared papers)Ya‐Mei Bai (31 shared papers)Tung‐Ping Su (15 shared papers)Shih‐Jen Tsai (28 shared papers)Bang‐Hung Yang (2 shared papers)
- Journals
- Nanotechnology (4 papers)Journal of Affective Disorders (4 papers)Journal of Psychiatric Research (3 papers)The Journal of Clinical Psychiatry (3 papers)International Journal of Geriatric Psychiatry (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Wei‐Chen Lin
51 papers receiving 648 citations
Peers
Comparison fields: 5 of 83
- Biological Psychiatry 125
- Pharmacology 181
- Behavioral Neuroscience 30
- Psychiatry and Mental health 120
- Neurology 65
Countries citing papers authored by Wei‐Chen Lin
This map shows the geographic impact of Wei‐Chen Lin'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‐Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Chen Lin more than expected).
Fields of papers citing papers by Wei‐Chen Lin
This network shows the impact of papers produced by Wei‐Chen Lin. 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‐Chen Lin. The network helps show where Wei‐Chen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Chen Lin, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 131 | |
| 2 | 2019 | 127 | |
| 3 | 2012 | 40 | |
| 4 | 2023 | 33 | |
| 5 | 2008 | 31 | |
| 6 | 2012 | 30 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2014 | 17 | |
| 11 | 2022 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Wei‐Chen Lin
Wei‐Chen Lin is a scholar working on Pharmacology, Neurology, Psychiatry and Mental health, Cognitive Neuroscience and Biological Psychiatry, having authored 56 papers that have together received 665 indexed citations. Recurring topics across this work include Treatment of Major Depression (14 papers), Graphene research and applications (6 papers), Quantum and electron transport phenomena (6 papers), Transcranial Magnetic Stimulation Studies (5 papers), 2D Materials and Applications (4 papers), Topological Materials and Phenomena (4 papers), Functional Brain Connectivity Studies (4 papers) and Bipolar Disorder and Treatment (3 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Pharmacology (181 citations), Behavioral Neuroscience (30 citations), Psychiatry and Mental health (120 citations) and Neurology (65 citations). Wei‐Chen Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Cheng‐Ta Li, Mu‐Hong Chen, Kai‐Chun Yang, Pei‐Chi Tu, Ya‐Mei Bai, Tung‐Ping Su, Shih‐Jen Tsai, Bang‐Hung Yang, Chen‐Jee Hong and Tung‐Ping Su. Their work appears in journals such as Nanotechnology, Journal of Affective Disorders, Journal of Psychiatric Research, The Journal of Clinical Psychiatry and International Journal of Geriatric Psychiatry.
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.