Keng-Mean Lin
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 1
- Ion channel regulation and function 1
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- T-cell and B-cell Immunology 2
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
- Co-authors
- Yumi Yamamoto (1 shared paper)Min-Jean Yin (1 shared paper)Richard B. Gaynor (1 shared paper)Philip Cohen (1 shared paper)James A. Thomas (1 shared paper)Wei Hu (1 shared paper)Michelle Jennings (1 shared paper)Xiaoxia Li (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Leukocyte Biology (1 paper)Journal of Biological Chemistry (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Keng-Mean Lin
7 papers receiving 711 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 183
- Pharmacology 186
- Immunology 192
- Molecular Biology 375
- Toxicology 17
Countries citing papers authored by Keng-Mean Lin
This map shows the geographic impact of Keng-Mean 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 Keng-Mean Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keng-Mean Lin more than expected).
Fields of papers citing papers by Keng-Mean Lin
This network shows the impact of papers produced by Keng-Mean 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 Keng-Mean Lin. The network helps show where Keng-Mean Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Keng-Mean 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 | 1999 | 422 | |
| 2 | 2013 | 236 | |
| 3 | Isolation and Culture of Adult Mouse Cardiac Myocytes for Signaling Studies | 2003 | 24 |
| 4 | 2002 | 19 | |
| 5 | 2024 | 11 | |
| 6 | Purification and Characterization of Mouse Splenic B Lymphocytes | 2002 | 9 |
| 7 | 2010 | 4 |
About Keng-Mean Lin
Keng-Mean Lin is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Infectious Diseases, having authored 7 papers that have together received 725 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Response and Inflammation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Ferroptosis and cancer prognosis (1 paper), NF-κB Signaling Pathways (1 paper), Ion channel regulation and function (1 paper), Immunotherapy and Immune Responses (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Cancer Research (183 citations), Pharmacology (186 citations), Immunology (192 citations), Molecular Biology (375 citations) and Toxicology (17 citations). Keng-Mean Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yumi Yamamoto, Min-Jean Yin, Richard B. Gaynor, Philip Cohen, James A. Thomas, Wei Hu, Michelle Jennings, Xiaoxia Li, Sambit K. Nanda and Chandrashekhar Pasare. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Leukocyte Biology, Journal of Biological Chemistry and Nature.
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.