Geoffrey M. Cooper
- Molecular Biology top 0.2%
- Oncology top 0.5%
- Genetics top 0.5%
- Cell Biology top 0.5%
- Cancer Research top 0.5%
- Co-authors
- Ryoji YaoLarry A. FeigMarianna PapChanning J. DerHong CaiPéter ErhardtMasahide TakahashiTheodore G. Krontiris
- Topics
- Protein Kinase Regulation and GTPase Signaling (26 papers)Virus-based gene therapy research (21 papers)Cancer-related Molecular Pathways (19 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Geoffrey M. Cooper
197 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 12.2k
- Oncology 3.6k
- Genetics 2.2k
- Cell Biology 1.9k
- Cancer Research 1.7k
Countries citing papers authored by Geoffrey M. Cooper
This map shows the geographic impact of Geoffrey M. 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 Geoffrey M. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey M. Cooper more than expected).
Fields of papers citing papers by Geoffrey M. Cooper
This network shows the impact of papers produced by Geoffrey M. 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 Geoffrey M. Cooper. The network helps show where Geoffrey M. Cooper may publish in the future.
Co-authorship network of co-authors of Geoffrey M. Cooper
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey M. Cooper. A scholar is included among the top collaborators of Geoffrey M. Cooper 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 Geoffrey M. Cooper. Geoffrey M. Cooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 17 | |
| 3 | 15 | |
| 4 | 134 | |
| 5 | The Cell : molecular approach | 93 |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 268 | |
| 10 | 23 | |
| 11 | Role of Glycogen Synthase Kinase-3 in the Phosphatidylinositol 3-Kinase/Akt Cell Survival Pathwaybreakdown → | 911 |
| 12 | 264 | |
| 13 | 90 | |
| 14 | 125 | |
| 15 | 23 | |
| 16 | The cancer book : a guide to understanding the causes, prevention, and treatment of cancer | 8 |
| 17 | 16 | |
| 18 | Inhibition of NIH 3T3 Cell Proliferation by a Mutant ras Protein with Preferential Affinity for GDPbreakdown → | 702 |
| 19 | 168 | |
| 20 | 1 |
About Geoffrey M. Cooper
Geoffrey M. Cooper is a scholar working on Molecular Biology, Genetics and Oncology, having authored 200 papers that have together received 17.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (26 papers), Virus-based gene therapy research (21 papers) and Cancer-related Molecular Pathways (19 papers). The work is most often cited by research in Molecular Biology (12.2k citations), Oncology (3.6k citations) and Cell Biology (1.9k citations). Geoffrey M. Cooper has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Ryoji Yao, Larry A. Feig, Marianna Pap, Channing J. Der, Hong Cai, Péter Erhardt, Masahide Takahashi, Theodore G. Krontiris, József Szeberényi and Morris J. Birnbaum. 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.