David Estève
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Epidemiology 16
- Adipokines, Inflammation, and Metabolic Diseases 16
- Physiology 14
- Adipose Tissue and Metabolism 14
- Co-authors
- Anne Bouloumié (12 shared papers)Jean Galitzky (11 shared papers)Catherine Muller (11 shared papers)Pauline Decaunes (5 shared papers)Philippe Valet (6 shared papers)Coralie Sengenès (3 shared papers)P Chiotasso (2 shared papers)Camille Attané (5 shared papers)
- Journals
- Stem Cells (3 papers)Journal of Visualized Experiments (2 papers)Journal of Physiology and Biochemistry (1 paper)Diabetes (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceSwedenUnited States
In The Last Decade
David Estève
25 papers receiving 995 citations
Peers
Comparison fields: 5 of 81
- Physiology 422
- Cancer Research 212
- Genetics 103
- Cardiology and Cardiovascular Medicine 220
- Epidemiology 332
Countries citing papers authored by David Estève
This map shows the geographic impact of David Estève'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 David Estève with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Estève more than expected).
Fields of papers citing papers by David Estève
This network shows the impact of papers produced by David Estève. 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 David Estève. The network helps show where David Estève may publish in the future.
Co-authors
The 25 scholars most cited alongside David Estève, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 196 | |
| 2 | 2020 | 162 | |
| 3 | 2019 | 105 | |
| 4 | 2020 | 87 | |
| 5 | 2017 | 75 | |
| 6 | 2012 | 71 | |
| 7 | 2019 | 44 | |
| 8 | 2014 | 40 | |
| 9 | 2020 | 30 | |
| 10 | 2013 | 28 | |
| 11 | 2018 | 27 | |
| 12 | 2015 | 21 | |
| 13 | 2012 | 21 | |
| 14 | 2021 | 19 | |
| 15 | 2015 | 18 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 12 | |
| 18 | 2010 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2022 | 6 |
About David Estève
David Estève is a scholar working on Epidemiology, Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (16 papers), Adipose Tissue and Metabolism (14 papers), Cardiovascular Disease and Adiposity (7 papers), Mesenchymal stem cell research (5 papers), Cancer, Lipids, and Metabolism (2 papers), Prostate Cancer Treatment and Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Physiology (422 citations), Cancer Research (212 citations), Genetics (103 citations), Cardiology and Cardiovascular Medicine (220 citations) and Epidemiology (332 citations). David Estève has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Anne Bouloumié, Jean Galitzky, Catherine Muller, Pauline Decaunes, Philippe Valet, Coralie Sengenès, P Chiotasso, Camille Attané, Mohamed Moutahir and Odile Burlet‐Schiltz. Their work appears in journals such as Stem Cells, Journal of Visualized Experiments, Journal of Physiology and Biochemistry, Diabetes and Nature Communications.
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.