Keng Lin
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Phosphodiesterase function and regulation
Papers in
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- Receptor Mechanisms and Signaling 2
- Protein Kinase Regulation and GTPase Signaling 2
- Phosphodiesterase function and regulation 1
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- NF-κB Signaling Pathways 1
- Co-authors
- Elliott M. Ross (2 shared papers)Tamara I. A. Roach (2 shared papers)Robert A. Rebres (2 shared papers)Iain D. C. Fraser (2 shared papers)Lily I. Jiang (1 shared paper)Paul C. Sternweis (1 shared paper)Ronald Taussig (1 shared paper)Dianne L. DeCamp (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Applied Sciences (1 paper)BMJ Open (1 paper)Cancer Management and Research (1 paper)PubMed (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Keng Lin
9 papers receiving 529 citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 137
- Molecular Biology 377
- Cell Biology 88
- Cancer Research 73
- Immunology 60
Countries citing papers authored by Keng Lin
This map shows the geographic impact of Keng 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 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 Lin more than expected).
Fields of papers citing papers by Keng Lin
This network shows the impact of papers produced by Keng 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 Lin. The network helps show where Keng Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Keng 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 | 2007 | 274 | |
| 2 | 2001 | 123 | |
| 3 | 1997 | 71 | |
| 4 | 2010 | 51 | |
| 5 | 2020 | 9 | |
| 6 | 2022 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 1 |
About Keng Lin
Keng Lin is a scholar working on Molecular Biology, Cancer Research, Genetics, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 534 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), NF-κB Signaling Pathways (1 paper), Phosphodiesterase function and regulation (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Graph Theory and Algorithms (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (137 citations), Molecular Biology (377 citations), Cell Biology (88 citations), Cancer Research (73 citations) and Immunology (60 citations). Keng Lin has collaborated with scholars based in China and United States. Frequent co-authors include Elliott M. Ross, Tamara I. A. Roach, Robert A. Rebres, Iain D. C. Fraser, Lily I. Jiang, Paul C. Sternweis, Ronald Taussig, Dianne L. DeCamp, Julie Collins and Richard M. Davis. Their work appears in journals such as Journal of Biological Chemistry, Applied Sciences, BMJ Open, Cancer Management and Research and PubMed.
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.