David Enot
Impact in
- Aging top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Metabolomics and Mass Spectrometry Studies 15
- Oncology 15
- Cancer Immunotherapy and Biomarkers 10
- CAR-T cell therapy research 5
- Co-authors
- John Draper (12 shared papers)Manfred Beckmann (11 shared papers)Guido Kroemer (20 shared papers)Laurence Zitvogel (16 shared papers)David P. Overy (7 shared papers)Hans‐Peter Deigner (5 shared papers)Therese Koal (4 shared papers)Matthias Kohl (3 shared papers)
- Journals
- OncoImmunology (8 papers)PLoS ONE (4 papers)Nature Protocols (4 papers)Cell Cycle (3 papers)Autophagy (3 papers)
- Partner nations
- FranceUnited KingdomSweden
In The Last Decade
David Enot
52 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 135
- Aging 57
- Immunology 533
- Molecular Biology 1.8k
- Geriatrics and Gerontology 71
- Oncology 546
Countries citing papers authored by David Enot
This map shows the geographic impact of David Enot'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 Enot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Enot more than expected).
Fields of papers citing papers by David Enot
This network shows the impact of papers produced by David Enot. 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 Enot. The network helps show where David Enot may publish in the future.
Co-authors
The 25 scholars most cited alongside David Enot, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 312 | |
| 2 | 2005 | 290 | |
| 3 | 2017 | 268 | |
| 4 | 2014 | 246 | |
| 5 | 2015 | 188 | |
| 6 | 2009 | 176 | |
| 7 | 2009 | 119 | |
| 8 | 2008 | 108 | |
| 9 | 2010 | 104 | |
| 10 | 2016 | 92 | |
| 11 | 2008 | 88 | |
| 12 | 2018 | 88 | |
| 13 | 2015 | 84 | |
| 14 | 2008 | 84 | |
| 15 | 2018 | 76 | |
| 16 | 2017 | 72 | |
| 17 | 2014 | 67 | |
| 18 | 2014 | 62 | |
| 19 | 2013 | 58 | |
| 20 | 2016 | 56 |
About David Enot
David Enot is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Spectroscopy, having authored 52 papers that have together received 3.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (15 papers), Cancer Immunotherapy and Biomarkers (10 papers), Autophagy in Disease and Therapy (9 papers), Mass Spectrometry Techniques and Applications (6 papers), Immunotherapy and Immune Responses (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Aging (57 citations), Immunology (533 citations), Molecular Biology (1.8k citations), Geriatrics and Gerontology (71 citations) and Oncology (546 citations). David Enot has collaborated with scholars based in France, United Kingdom and Sweden. Frequent co-authors include John Draper, Manfred Beckmann, Guido Kroemer, Laurence Zitvogel, David P. Overy, Hans‐Peter Deigner, Therese Koal, Matthias Kohl, William J. Griffiths and Yuqin Wang. Their work appears in journals such as OncoImmunology, PLoS ONE, Nature Protocols, Cell Cycle and Autophagy.
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.