Chih-Wei Lin
- Hematology top 1%
- Biochemistry top 5%
- Genetics top 10%
- Nephrology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 3
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- Glycosylation and Glycoproteins Research 6
- RNA Interference and Gene Delivery 3
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- Tuberculosis Research and Epidemiology 5
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- Monoclonal and Polyclonal Antibodies Research 4
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- Influenza Virus Research Studies 3
- Respiratory viral infections research 3
- Mycobacterium research and diagnosis 3
- Co-authors
- Gary M. FoxSidney V. SuggsF K LinJoan C. EgrieFrank MartinRalph SmallingJeffrey K. BrowneChung‐Yi Wu
- Cited by
- HematologyBiochemistryGenetics
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of the American Chemical Society (2 papers)Cancer Research (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chih-Wei Lin
29 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Hematology 636
- Biochemistry 103
- Genetics 154
- Nephrology 100
- Immunology 267
Countries citing papers authored by Chih-Wei Lin
This map shows the geographic impact of Chih-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 Chih-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 Chih-Wei Lin more than expected).
Fields of papers citing papers by Chih-Wei Lin
This network shows the impact of papers produced by Chih-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 Chih-Wei Lin. The network helps show where Chih-Wei Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih-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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 6 | |
| 7 | 2018 | 33 | |
| 8 | 2016 | 63 | |
| 9 | 2015 | 17 | |
| 10 | 2014 | 15 | |
| 11 | 2013 | 3 | |
| 12 | 2013 | 35 | |
| 13 | 2013 | 25 | |
| 14 | 2011 | 21 | |
| 15 | 2009 | 3 | |
| 16 | 2008 | 66 | |
| 17 | 2008 | 29 | |
| 18 | 2003 | 6 | |
| 19 | 1993 | 17 | |
| 20 | 1993 | 14 |
About Chih-Wei Lin
Chih-Wei Lin is a scholar working on Immunology, Infectious Diseases and Hematology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Tuberculosis Research and Epidemiology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Hematology (636 citations), Biochemistry (103 citations) and Genetics (154 citations). Chih-Wei Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Gary M. Fox, Sidney V. Suggs, F K Lin, Joan C. Egrie, Frank Martin, Ralph Smalling, Jeffrey K. Browne, Chung‐Yi Wu, Chi‐Huey Wong and Ih‐Jen Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Cancer Research.
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.