Keng-Mean Lin
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
Papers in
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- Protein Kinase Regulation and GTPase Signaling 4
- Receptor Mechanisms and Signaling 2
- Signaling Pathways in Disease 1
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Complement system in diseases 1
- Co-authors
- Helen L. Yin (3 shared papers)Paul C. Sternweis (2 shared papers)Madhusudan Natarajan (1 shared paper)Rama Ranganathan (1 shared paper)Robert C. Hsueh (1 shared paper)Hui-Qiao Sun (1 shared paper)Joseph Albanesi (1 shared paper)Barbara Baryłko (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesCroatiaGermany
In The Last Decade
Keng-Mean Lin
7 papers receiving 520 citations
Peers
Comparison fields: 5 of 91
- Cell Biology 195
- Immunology and Allergy 31
- Molecular Biology 341
- Biophysics 21
- Physiology 15
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 | 2006 | 170 | |
| 2 | 1998 | 111 | |
| 3 | 1997 | 81 | |
| 4 | 2005 | 58 | |
| 5 | 2000 | 45 | |
| 6 | 2008 | 36 | |
| 7 | 2013 | 29 |
About Keng-Mean Lin
Keng-Mean Lin is a scholar working on Molecular Biology, Immunology, Physiology, Cell Biology and Nephrology, having authored 7 papers that have together received 530 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Computational Drug Discovery Methods (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Cell Biology (195 citations), Immunology and Allergy (31 citations), Molecular Biology (341 citations), Biophysics (21 citations) and Physiology (15 citations). Keng-Mean Lin has collaborated with scholars based in United States, Croatia and Germany. Frequent co-authors include Helen L. Yin, Paul C. Sternweis, Madhusudan Natarajan, Rama Ranganathan, Robert C. Hsueh, Hui-Qiao Sun, Joseph Albanesi, Barbara Baryłko, David M. Jameson and Derk D. Binns. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Nature Cell Biology, American Journal of Physiology-Renal Physiology and Molecular and Cellular Biology.
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.