Chien‐Wei Lin
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Gene expression and cancer classification 6
- Epigenetics and DNA Methylation 5
- Single-cell and spatial transcriptomics 3
- Gut microbiota and health 3
- RNA Research and Splicing 3
- Genetics 12
- Diabetes and associated disorders 4
- Genetic Associations and Epidemiology 3
- Co-authors
- George C. Tseng (13 shared papers)Etienne Sibille (10 shared papers)Lun‐Ching Chang (3 shared papers)Stéphane Jamain (1 shared paper)Dan Rujescu (1 shared paper)Feng Duan (1 shared paper)Chien‐Song Chyang (1 shared paper)Charles F. Reynolds (2 shared papers)
- Journals
- BMC Genomics (2 papers)Science Advances (2 papers)Bioinformatics (2 papers)The Journal of Immunology (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Chien‐Wei Lin
56 papers receiving 853 citations
Peers
Comparison fields: 5 of 134
- Biological Psychiatry 69
- Behavioral Neuroscience 32
- Aging 16
- Immunology 110
- Cancer Research 70
Countries citing papers authored by Chien‐Wei Lin
This map shows the geographic impact of Chien‐Wei 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 Chien‐Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Wei Lin more than expected).
Fields of papers citing papers by Chien‐Wei Lin
This network shows the impact of papers produced by Chien‐Wei 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 Chien‐Wei Lin. The network helps show where Chien‐Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien‐Wei 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 76 | |
| 2 | 2016 | 48 | |
| 3 | 2013 | 47 | |
| 4 | 2021 | 40 | |
| 5 | 2020 | 39 | |
| 6 | 2016 | 38 | |
| 7 | 2020 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2018 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2016 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2015 | 21 | |
| 14 | 2020 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2020 | 17 | |
| 20 | 2020 | 17 |
About Chien‐Wei Lin
Chien‐Wei Lin is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Artificial Intelligence, having authored 63 papers that have together received 858 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Gene expression and cancer classification (6 papers), Epigenetics and DNA Methylation (5 papers), Diabetes and associated disorders (4 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), RNA Research and Splicing (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Biological Psychiatry (69 citations), Behavioral Neuroscience (32 citations), Aging (16 citations), Immunology (110 citations) and Cancer Research (70 citations). Chien‐Wei Lin has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include George C. Tseng, Etienne Sibille, Lun‐Ching Chang, Stéphane Jamain, Dan Rujescu, Feng Duan, Chien‐Song Chyang, Charles F. Reynolds, Howard Aizenstein and Breno S. Diniz. Their work appears in journals such as BMC Genomics, Science Advances, Bioinformatics, The Journal of Immunology and Nature Communications.
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.