Wei‐Chen Lin

42 papers receiving 539 citations

Peers

Wei‐Chen Lin
Comparison fields: 5 of 84
  • Biological Psychiatry 167
  • Behavioral Neuroscience 44
  • Pharmacology 180
  • Psychiatry and Mental health 138
  • Neurology 61
Replace Joanna Szczepanik with:
Joanna Szczepanik United States
Masahito Nakataki Japan
Giuseppe Di Iorio Italy
Jodi J. Weinstein United States
Harry Rubin‐Falcone United States
P Yuan United States
Guangzhong Yin China
Michelle M. Sidor United States
Chris Kelly United States
Giulio Rocchi Italy
Wei‐Chen Lin relative to Joanna Szczepanik United States Joanna Szczepanik's profile →
Citations per field
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Joanna Szczepanik · 1×
Citations per year

Countries citing papers authored by Wei‐Chen Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wei‐Chen Lin Line = papers co-authored together Wei‐Chen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 2016117
3 201238
4 201227
5 202326
6 201626
7 201818
8 202116
9 201415
10 202312
11 202211
12 202211
13 202110
14 20219
15 20218
16 20237
17 20237
18 20246
19 20216
20 20235

About Wei‐Chen Lin

Wei‐Chen Lin is a scholar working on Pharmacology, Cognitive Neuroscience, Biological Psychiatry, Psychiatry and Mental health and Materials Chemistry, having authored 50 papers that have together received 550 indexed citations. Recurring topics across this work include Treatment of Major Depression (19 papers), Tryptophan and brain disorders (13 papers), Functional Brain Connectivity Studies (12 papers), Transcranial Magnetic Stimulation Studies (7 papers), Bipolar Disorder and Treatment (7 papers), Quantum and electron transport phenomena (5 papers), Graphene research and applications (5 papers) and Topological Materials and Phenomena (4 papers). The work is most often cited by research in Biological Psychiatry (167 citations), Behavioral Neuroscience (44 citations), Pharmacology (180 citations), Psychiatry and Mental health (138 citations) and Neurology (61 citations). Wei‐Chen Lin has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Cheng‐Ta Li, Kai‐Chun Yang, Mu‐Hong Chen, Pei‐Chi Tu, Tung‐Ping Su, Ya‐Mei Bai, Shih‐Jen Tsai, Bang‐Hung Yang, Chen‐Jee Hong and Ren‐Shyan Liu. Their work appears in journals such as Journal of Affective Disorders, The Journal of Clinical Psychiatry, Journal of Psychiatric Research, Nanotechnology and The International Journal of Neuropsychopharmacology.

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.

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