Chien‐Wei Lin
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Aging top 10%
Papers in
-
- Gene expression and cancer classification 10
- Epigenetics and DNA Methylation 5
- Bioinformatics and Genomic Networks 5
- Genetics 15
- Genetic Associations and Epidemiology 6
- Diabetes and associated disorders 4
- Mesenchymal stem cell research 3
- Co-authors
- George C. Tseng (13 shared papers)Etienne Sibille (10 shared papers)Lun‐Ching Chang (3 shared papers)Dan Rujescu (1 shared paper)Stéphane Jamain (1 shared paper)Feng Duan (1 shared paper)Chien‐Song Chyang (1 shared paper)Sunghwan Kim (2 shared papers)
- Journals
- Bioinformatics (2 papers)The Journal of Immunology (2 papers)Journal of Psychiatric Research (2 papers)Science Advances (2 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Chien‐Wei Lin
56 papers receiving 811 citations
Peers
Comparison fields: 5 of 139
- Biological Psychiatry 98
- Aging 23
- Behavioral Neuroscience 44
- Immunology 118
- Cancer Research 79
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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 75 | |
| 2 | 2016 | 47 | |
| 3 | 2013 | 47 | |
| 4 | 2021 | 38 | |
| 5 | 2016 | 38 | |
| 6 | 2020 | 38 | |
| 7 | 2016 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2018 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2016 | 22 | |
| 12 | 2021 | 19 | |
| 13 | 2015 | 19 | |
| 14 | 2023 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2015 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2020 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2022 | 16 |
About Chien‐Wei Lin
Chien‐Wei Lin is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Physiology, having authored 62 papers that have together received 816 indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Immune Cell Function and Interaction (9 papers), Genetic Associations and Epidemiology (6 papers), Epigenetics and DNA Methylation (5 papers), Bioinformatics and Genomic Networks (5 papers), Diabetes and associated disorders (4 papers), Mesenchymal stem cell research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Aging (23 citations), Behavioral Neuroscience (44 citations), Immunology (118 citations) and Cancer Research (79 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, Dan Rujescu, Stéphane Jamain, Feng Duan, Chien‐Song Chyang, Sunghwan Kim, Charles F. Reynolds and Howard Aizenstein. Their work appears in journals such as Bioinformatics, The Journal of Immunology, Journal of Psychiatric Research, Science Advances and BMC Genomics.
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.