Wai Lin
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- interferon and immune responses
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
- Immunology 12
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- interferon and immune responses 4
- Immune Response and Inflammation 2
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- NF-κB Signaling Pathways 8
- Co-authors
- Carl F. Ware (5 shared papers)John R. Šedý (2 shared papers)Lindsay K. Ward-Kavanagh (1 shared paper)Gail A. Bishop (12 shared papers)Laura L. Stunz (9 shared papers)Zuoan Yi (4 shared papers)Joanne M. Hildebrand (3 shared papers)Nurbek Mambetsariev (5 shared papers)
- Journals
- The Journal of Immunology (3 papers)Frontiers in Immunology (3 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesVietnamRussia
In The Last Decade
Wai Lin
18 papers receiving 731 citations
Peers
Comparison fields: 5 of 72
- Immunology 461
- Cancer Research 206
- Oncology 216
- Molecular Biology 219
- Genetics 30
Countries citing papers authored by Wai Lin
This map shows the geographic impact of Wai 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 Wai Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Lin more than expected).
Fields of papers citing papers by Wai Lin
This network shows the impact of papers produced by Wai 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 Wai Lin. The network helps show where Wai Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wai 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 | 2016 | 320 | |
| 2 | 2010 | 77 | |
| 3 | 2014 | 49 | |
| 4 | 2016 | 40 | |
| 5 | 2016 | 38 | |
| 6 | 2015 | 36 | |
| 7 | 2013 | 34 | |
| 8 | 2015 | 29 | |
| 9 | 2013 | 27 | |
| 10 | 2014 | 18 | |
| 11 | 2008 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 6 | |
| 17 | 2015 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 |
About Wai Lin
Wai Lin is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 737 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), interferon and immune responses (4 papers), Peptidase Inhibition and Analysis (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (461 citations), Cancer Research (206 citations), Oncology (216 citations), Molecular Biology (219 citations) and Genetics (30 citations). Wai Lin has collaborated with scholars based in United States, Vietnam and Russia. Frequent co-authors include Carl F. Ware, John R. Šedý, Lindsay K. Ward-Kavanagh, Gail A. Bishop, Laura L. Stunz, Zuoan Yi, Joanne M. Hildebrand, Nurbek Mambetsariev, Bruce S. Hostager and Tammy Price-Troska. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Scientific Reports, Proceedings of the National Academy of Sciences and JCI Insight.
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.