David L. Brautigan
- Cell Biology top 0.1%
- Microtubule and mitosis dynamics 27
- Cellular Mechanics and Interactions 16
- Molecular Biology top 0.2%
- Protein Kinase Regulation and GTPase Signaling 56
- Protein Tyrosine Phosphatases 42
- Ubiquitin and proteasome pathways 25
- Ion channel regulation and function 21
- Mitochondrial Function and Pathology 21
- Aging top 2%
- Immunology and Allergy top 1%
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- Alkaline Phosphatase Research Studies 21
- Co-authors
- E. MargoliashShelagh Ferguson‐MillerMasumi EtoBruce L. MartinJoseph AvruchJohn KyriakisUlf R. RappJian Chen
- Cited by
- Cell BiologyMolecular BiologyAging
- Partner nations
- United StatesJapanFrance
In The Last Decade
David L. Brautigan
244 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cell Biology 3.6k
- Molecular Biology 12.4k
- Aging 158
- Cellular and Molecular Neuroscience 1.6k
- Immunology and Allergy 410
Countries citing papers authored by David L. Brautigan
This map shows the geographic impact of David L. Brautigan'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 David L. Brautigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Brautigan more than expected).
Fields of papers citing papers by David L. Brautigan
This network shows the impact of papers produced by David L. Brautigan. 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 David L. Brautigan. The network helps show where David L. Brautigan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David L. Brautigan, 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 | 2019 | 10 | |
| 2 | 2019 | 27 | |
| 3 | 2019 | 5 | |
| 4 | 2017 | 28 | |
| 5 | 2017 | 35 | |
| 6 | 2017 | 15 | |
| 7 | 2016 | 31 | |
| 8 | 2014 | 15 | |
| 9 | 2013 | 28 | |
| 10 | 2013 | 52 | |
| 11 | 2013 | 16 | |
| 12 | 2010 | 48 | |
| 13 | 2007 | 49 | |
| 14 | 1995 | 60 | |
| 15 | 1992 | 34 | |
| 16 | 1992 | 93 | |
| 17 | Raf-1 activates MAP kinase-kinasebreakdown → | 1992 | 1117 |
| 18 | 1990 | 33 | |
| 19 | 1978 | 332 | |
| 20 | Do evolutionary changes in cytochrome c structure reflect functional adaptations? | 1976 | 11 |
About David L. Brautigan
David L. Brautigan is a scholar working on Cell Biology, Molecular Biology and Aging, having authored 249 papers that have together received 16.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (56 papers), Protein Tyrosine Phosphatases (42 papers), Microtubule and mitosis dynamics (27 papers), Ubiquitin and proteasome pathways (25 papers), Ion channel regulation and function (21 papers), Alkaline Phosphatase Research Studies (21 papers), Mitochondrial Function and Pathology (21 papers) and Cellular Mechanics and Interactions (16 papers). The work is most often cited by research in Cell Biology (3.6k citations), Molecular Biology (12.4k citations) and Aging (158 citations). David L. Brautigan has collaborated with scholars based in United States, Japan and France. Frequent co-authors include E. Margoliash, Shelagh Ferguson‐Miller, Masumi Eto, Bruce L. Martin, Joseph Avruch, John Kyriakis, Ulf R. Rapp, Jian Chen, Toshio Kitazawa and James M. Larner. Their work appears in journals such as Nature, Science and Cell.
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.