Jonathan A. Cooper

37.6k citations
237 papers · 32.3k indexed · 13 hit papers · h-index 91

Jonathan A. Cooper

236 papers receiving 30.9k citations

Hit Papers

Src family kinases are required for integrin but not...634198120261996201150010001.5k

Peers

Jonathan A. Cooper
Comparison fields: 5 of 161
  • Developmental Neuroscience 3.0k
  • Cell Biology 6.3k
  • Immunology and Allergy 2.3k
  • Molecular Biology 22.4k
  • Aging 375
Replace Mariano Barbacid with:
Mariano Barbacid United States
Kozo Kaibuchi Japan
Michael D. Waterfield United Kingdom
Akihiro Iwamatsu Japan
Paul Säftig Germany
Bengt Westermark Sweden
William J. Henzel United States
Frank B. Gertler United States
Don W. Cleveland United States
Brian A. Hemmings Switzerland
Jonathan A. Cooper relative to Mariano Barbacid United States Mariano Barbacid's profile →
Citations per field
00.5×1.5×1.9×
Mariano Barbacid · 1×
Citations per year

Countries citing papers authored by Jonathan A. Cooper

Since Specialization
Citations

This map shows the geographic impact of Jonathan A. Cooper'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 Jonathan A. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Cooper more than expected).

Fields of papers citing papers by Jonathan A. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Cooper. 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 Jonathan A. Cooper. The network helps show where Jonathan A. Cooper may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jonathan A. Cooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan A. Cooper Line = papers co-authored together Jonathan A. Cooper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 200997
3 200926
4 200377
5 2001223
6 1999323
7 1999269
8 1998206
9 1997106
10
Scrambler and yotari disrupt the disabled gene and produce a reeler -like phenotype in micebreakdown →
1997536
11 199739
12 199656
13 1994415
14 19947
15 199318
16
Mammalian Ras interacts directly with the serine/threonine kinase rafbreakdown →
19931765
17 199364
18 199287
19 198627
20 198310

About Jonathan A. Cooper

Jonathan A. Cooper is a scholar working on Aging, Developmental Neuroscience, Immunology and Allergy, Cell Biology and Molecular Biology, having authored 237 papers that have together received 32.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (55 papers), Virus-based gene therapy research (29 papers), Ubiquitin and proteasome pathways (25 papers), Neurogenesis and neuroplasticity mechanisms (25 papers), Cell Adhesion Molecules Research (21 papers), PI3K/AKT/mTOR signaling in cancer (20 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Glycosylation and Glycoproteins Research (17 papers). The work is most often cited by research in Developmental Neuroscience (3.0k citations), Cell Biology (6.3k citations), Immunology and Allergy (2.3k citations), Molecular Biology (22.4k citations) and Aging (375 citations). Jonathan A. Cooper has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Tony Hunter, Brian W. Howell, Anne B. Vojtek, Bartholomew M. Sefton, Stanley M. Hollenberg, Andrius Kazlauskas, James Posada, Adam Kashishian, Philippe Soriano and Bernard Moss. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, The Journal of Cell Biology, Cell and Journal of Virology.

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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