Maéva Gesson
Impact in
- Cell Biology top 10%
- melanin and skin pigmentation
- Cellular Mechanics and Interactions
-
- Atherosclerosis and Cardiovascular Diseases
- Biomarkers in Disease Mechanisms
Papers in
-
- Melanoma and MAPK Pathways 2
- Polyamine Metabolism and Applications 1
- Advanced biosensing and bioanalysis techniques 1
-
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Stéphane Rocchi (3 shared papers)Rachid Benhida (2 shared papers)Meri K. Tulić (3 shared papers)Anthony R. Martin (1 shared paper)Thierry Passeron (3 shared papers)Robert Ballotti (3 shared papers)Pascal Dao (1 shared paper)Guillaume E. Béranger (3 shared papers)
- Journals
- Cancer Research (2 papers)Frontiers in Cell and Developmental Biology (1 paper)Cell Death and Disease (1 paper)Nature Communications (1 paper)The Analyst (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Maéva Gesson
10 papers receiving 356 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 158
- Immunology 126
- Immunology and Allergy 28
- Dermatology 33
- Cancer Research 48
Countries citing papers authored by Maéva Gesson
This map shows the geographic impact of Maéva Gesson'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 Maéva Gesson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maéva Gesson more than expected).
Fields of papers citing papers by Maéva Gesson
This network shows the impact of papers produced by Maéva Gesson. 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 Maéva Gesson. The network helps show where Maéva Gesson may publish in the future.
Co-authors
The 25 scholars most cited alongside Maéva Gesson, 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 | 2019 | 123 | |
| 2 | 2019 | 64 | |
| 3 | 2020 | 43 | |
| 4 | 2018 | 39 | |
| 5 | 2019 | 29 | |
| 6 | 2019 | 25 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 14 | |
| 9 | 2014 | 2 | |
| 10 | 2021 | 1 |
About Maéva Gesson
Maéva Gesson is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Surgery, having authored 10 papers that have together received 359 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (2 papers), Melanoma and MAPK Pathways (2 papers), Immune Cell Function and Interaction (2 papers), Pancreatic function and diabetes (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Polyamine Metabolism and Applications (1 paper), Ocean Acidification Effects and Responses (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cell Biology (158 citations), Immunology (126 citations), Immunology and Allergy (28 citations), Dermatology (33 citations) and Cancer Research (48 citations). Maéva Gesson has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Stéphane Rocchi, Rachid Benhida, Meri K. Tulić, Anthony R. Martin, Thierry Passeron, Robert Ballotti, Pascal Dao, Guillaume E. Béranger, Patricia Abbe and Marcel Deckert. Their work appears in journals such as Cancer Research, Frontiers in Cell and Developmental Biology, Cell Death and Disease, Nature Communications and The Analyst.
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.