Dan Lin
Impact in
- Aging top 5%
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
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- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 1
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- Axon Guidance and Neuronal Signaling 4
- Nerve injury and regeneration 2
- Co-authors
- Tony Pawson (2 shared papers)John D. Scott (1 shared paper)Geraldine Mbamalu (1 shared paper)A. Edwards (1 shared paper)J. Paul Fawcett (1 shared paper)Gerald Gish (1 shared paper)Zhou Songyang (1 shared paper)David R. Kaplan (4 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Cancers (1 paper)Nature Cell Biology (1 paper)Talanta (1 paper)Medicine (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Dan Lin
12 papers receiving 1.2k citations
Dan Lin's Hit Papers
Peers
Comparison fields: 5 of 77
- Aging 76
- Cell Biology 579
- Developmental Neuroscience 83
- Cellular and Molecular Neuroscience 287
- Molecular Biology 865
Countries citing papers authored by Dan Lin
This map shows the geographic impact of Dan 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 Dan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lin more than expected).
Fields of papers citing papers by Dan Lin
This network shows the impact of papers produced by Dan 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 Dan Lin. The network helps show where Dan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 | A mammalian PAR-3–PAR-6 complex implicated in Cdc42/Rac1 and aPKC signalling and cell polarity Hit paper breakdown → | 2000 | 623 |
| 2 | 1999 | 218 | |
| 3 | 2006 | 121 | |
| 4 | 2006 | 98 | |
| 5 | 2009 | 73 | |
| 6 | 2010 | 31 | |
| 7 | 2006 | 4 | |
| 8 | 1990 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 |
About Dan Lin
Dan Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Pharmacology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Nerve injury and regeneration (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Ubiquitin and proteasome pathways (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Microtubule and mitosis dynamics (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Aging (76 citations), Cell Biology (579 citations), Developmental Neuroscience (83 citations), Cellular and Molecular Neuroscience (287 citations) and Molecular Biology (865 citations). Dan Lin has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Tony Pawson, John D. Scott, Geraldine Mbamalu, A. Edwards, J. Paul Fawcett, Gerald Gish, Zhou Songyang, David R. Kaplan, Freda D. Miller and Ian R. Watson. Their work appears in journals such as Journal of Biological Chemistry, Cancers, Nature Cell Biology, Talanta and Medicine.
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.