G Pagès
Impact in
- Molecular Biology top 10%
- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Protein Tyrosine Phosphatases
- Aging top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Melanoma and MAPK Pathways 4
- PI3K/AKT/mTOR signaling in cancer 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Oncology 1
- CAR-T cell therapy research 1
- Co-authors
- Jacques Pouysségur (6 shared papers)Anne Brunet (2 shared papers)Philippe Lenormand (3 shared papers)Gilles L’Allemain (3 shared papers)Claude Sardet (2 shared papers)Sylvain Meloche (2 shared papers)Klaus Seuwen (1 shared paper)Stephen Μ. Hedrick (1 shared paper)
- Journals
- Molecular Endocrinology (1 paper)FEBS Letters (1 paper)The Journal of Cell Biology (1 paper)Immunity (1 paper)PubMed (3 papers)
- Partner nations
- FranceUnited States
In The Last Decade
G Pagès
7 papers receiving 1.3k citations
G Pagès's Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 934
- Aging 23
- Cell Biology 205
- Immunology and Allergy 65
- Immunology 226
Countries citing papers authored by G Pagès
This map shows the geographic impact of G Pagès'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 G Pagès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Pagès more than expected).
Fields of papers citing papers by G Pagès
This network shows the impact of papers produced by G Pagès. 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 G Pagès. The network helps show where G Pagès may publish in the future.
Co-authors
The 18 scholars most cited alongside G Pagès, 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 | Growth factors induce nuclear translocation of MAP kinases (p42mapk and p44mapk) but not of their activator MAP kinase kinase (p45mapkk) in fibroblasts Hit paper breakdown → | 1993 | 588 |
| 2 | 2005 | 274 | |
| 3 | 1992 | 257 | |
| 4 | 1994 | 94 | |
| 5 | MAP kinases: activation, subcellular localization and role in the control of cell proliferation. | 1993 | 37 |
| 6 | B-Raf protein isoforms interact with and phosphorylate Mek-1 on serine residues 218 and 222. | 1995 | 32 |
| 7 | Alpha-thrombin receptor and MAP kinases in the control of cell growth. | 1993 | 3 |
About G Pagès
G Pagès is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (4 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), T-cell and B-cell Immunology (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Immune Cell Function and Interaction (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Molecular Biology (934 citations), Aging (23 citations), Cell Biology (205 citations), Immunology and Allergy (65 citations) and Immunology (226 citations). G Pagès has collaborated with scholars based in France and United States. Frequent co-authors include Jacques Pouysségur, Anne Brunet, Philippe Lenormand, Gilles L’Allemain, Claude Sardet, Sylvain Meloche, Klaus Seuwen, Stephen Μ. Hedrick, April M. Fischer and Carol D. Katayama. Their work appears in journals such as Molecular Endocrinology, FEBS Letters, The Journal of Cell Biology, Immunity and PubMed.
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.