Philip Cohen
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Physiology
- Oncology
- Co-authors
- Néstor GómezPaul GreengardH.Y. Lim TungHugh C. HemmingsMichael J. HubbardDario R. AlessiD. A. CrossAna Cuenda
- Topics
- Glycogen Storage Diseases and Myoclonus (5 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Water Quality and Resources Studies (4 papers)
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Philip Cohen
26 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 452
- Cell Biology 358
- Physiology 156
- Oncology 155
Countries citing papers authored by Philip Cohen
This map shows the geographic impact of Philip Cohen'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 Philip Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Cohen more than expected).
Fields of papers citing papers by Philip Cohen
This network shows the impact of papers produced by Philip Cohen. 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 Philip Cohen. The network helps show where Philip Cohen may publish in the future.
Co-authorship network of co-authors of Philip Cohen
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Cohen. A scholar is included among the top collaborators of Philip Cohen 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 Philip Cohen. Philip Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | U.S. Naval Oceanographic Office | 0 |
| 3 | 30 | |
| 4 | 1 | |
| 5 | 41 | |
| 6 | 221 | |
| 7 | Cult's bizarre vision rekindles cloning debate. | 4 |
| 8 | 193 | |
| 9 | Dissection of the protein kinase cascade by which nerve growth factor activates MAP kinasesbreakdown → | 528 |
| 10 | 107 | |
| 11 | The book of Genesis : an introduction to the Biblical world | 4 |
| 12 | 112 | |
| 13 | 73 | |
| 14 | 44 | |
| 15 | 88 | |
| 16 | 27 | |
| 17 | 4 | |
| 18 | Bathymetric Navigation and Charting | 5 |
| 19 | 1 | |
| 20 | 12 |
About Philip Cohen
Philip Cohen is a scholar working on Rheumatology, Geochemistry and Petrology and Cell Biology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Water Quality and Resources Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (452 citations), Molecular Biology (1.6k citations) and Cell Biology (358 citations). Philip Cohen has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Néstor Gómez, Paul Greengard, H.Y. Lim Tung, Hugh C. Hemmings, Michael J. Hubbard, Dario R. Alessi, D. A. Cross, Ana Cuenda, Catherine A. Hazzalin and Michael J. Barratt. Their work appears in journals such as Nature, Nature Reviews Drug Discovery and Journal of Bone and Joint Surgery.
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.