David L. Brautigan

19.8k citations
249 papers · 16.5k indexed · 4 hit papers · h-index 70
Topics
Protein Kinase Regulation and GTPase Signaling (56 papers)Protein Tyrosine Phosphatases (42 papers)Microtubule and mitosis dynamics (27 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

David L. Brautigan

244 papers receiving 16.0k citations

Hit Papers

Raf-1 activates MAP kinase-kinase198920262001201319921989199219902505007501000

Peers

David L. Brautigan
Comparison fields: 5 of 146
  • Molecular Biology 12.4k
  • Cell Biology 3.6k
  • Oncology 1.8k
  • Cellular and Molecular Neuroscience 1.6k
  • Physiology 1.3k
Replace Alexandra C. Newton with:
Alexandra C. Newton United States
Steven Pelech Canada
Takeshi Nakano Japan
Koji Takio Japan
Michael J.O. Wakelam United Kingdom
E G Krebs United States
Clive A. Slaughter United States
Toshiaki Katada Japan
Naoki Mochizuki Japan
Hiroshi Nojima Japan
David L. Brautigan relative to Alexandra C. Newton United States Alexandra C. Newton's profile →
Citations per field
00.5×1.5×
Alexandra C. Newton · 1×
Citations per year

Countries citing papers authored by David L. Brautigan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David L. Brautigan

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Brautigan. A scholar is included among the top collaborators of David L. Brautigan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David L. Brautigan. David L. Brautigan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 27
3 5
4 28
5 35
6 15
7 31
8 15
9 28
10 52
11 16
12 48
13 49
14 60
15 34
16 93
17
Raf-1 activates MAP kinase-kinasebreakdown →
1117
18 33
19 332
20
Do evolutionary changes in cytochrome c structure reflect functional adaptations?
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) and Microtubule and mitosis dynamics (27 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.

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