Dana Lin
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Gut microbiota and health 3
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 2
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- Clostridium difficile and Clostridium perfringens research 3
- Co-authors
- S. Lin (4 shared papers)Martin Grumet (2 shared papers)Michael W. Nachman (4 shared papers)Taichi A. Suzuki (4 shared papers)Michael D. Flanagan (1 shared paper)Sung‐Jan Lin (1 shared paper)Eileen A. Lacey (3 shared papers)Andrew H. Moeller (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Molecular Ecology (2 papers)The Journal of Cell Biology (2 papers)PLoS Genetics (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dana Lin
17 papers receiving 765 citations
Peers
Comparison fields: 5 of 105
- Cell Biology 211
- Immunology and Allergy 47
- Biophysics 37
- Molecular Biology 427
- Aging 10
Countries citing papers authored by Dana Lin
This map shows the geographic impact of Dana 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 Dana Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Lin more than expected).
Fields of papers citing papers by Dana Lin
This network shows the impact of papers produced by Dana 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 Dana Lin. The network helps show where Dana Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dana 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 | 1980 | 231 | |
| 2 | 2017 | 125 | |
| 3 | 1978 | 95 | |
| 4 | 2019 | 73 | |
| 5 | 1978 | 65 | |
| 6 | 1995 | 52 | |
| 7 | 2018 | 49 | |
| 8 | 1993 | 39 | |
| 9 | 2012 | 33 | |
| 10 | 1982 | 26 | |
| 11 | 2024 | 10 | |
| 12 | 1982 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 6 | |
| 16 | Studies on human erythrocyte spectrin.4.1.actin complex with the use of cytochalasins. | 1981 | 2 |
| 17 | 2022 | 1 |
About Dana Lin
Dana Lin is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 17 papers that have together received 831 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Blood properties and coagulation (3 papers), Cellular Mechanics and Interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Cell Biology (211 citations), Immunology and Allergy (47 citations), Biophysics (37 citations), Molecular Biology (427 citations) and Aging (10 citations). Dana Lin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include S. Lin, Martin Grumet, Michael W. Nachman, Taichi A. Suzuki, Michael D. Flanagan, Sung‐Jan Lin, Eileen A. Lacey, Andrew H. Moeller, Samuel K. Wasser and Su Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Ecology, The Journal of Cell Biology, PLoS Genetics and Cold Spring Harbor Symposia on Quantitative 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.