David Enot

14.6k citations
51 papers · 3.3k indexed · h-index 32
  • Immunology top 5%
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 5
    • Metabolomics and Mass Spectrometry Studies 16
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers 10
    • CAR-T cell therapy research 5
    • Mass Spectrometry Techniques and Applications 6
    • Advanced Proteomics Techniques and Applications 6
  • Aging top 10%
    • Autophagy in Disease and Therapy 8

David Enot

51 papers receiving 3.3k citations

Peers

David Enot
Comparison fields: 5 of 137
  • Immunology 575
  • Molecular Biology 1.9k
  • Oncology 619
  • Spectroscopy 349
  • Aging 33
Replace Sebastian Wiese with:
Sebastian Wiese Germany
Naoya Hatano Japan
Jeremy C. Allegood United States
Thomas O. Eichmann Austria
Hiroki Nakanishi Japan
Byron Kemper United States
Grant M. Hatch Canada
Jean‐Luc Vayssière France
Peter J. Espenshade United States
Yoichi Sakakibara Japan
David Enot relative to Sebastian Wiese Germany Sebastian Wiese's profile →
Citations per field
00.5×1.5×2.5×
Sebastian Wiese · 1×
Citations per year

Countries citing papers authored by David Enot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with David Enot Line = papers co-authored together David Enot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20208
2 201873
3 2017261
4 201620
5 20166
6 2015184
7 201343
8 201222
9 201114
10 20118
11 2010305
12 2010104
13 201034
14 2009118
15 2009173
16 200934
17 2008107
18 200842
19 200884
20 20019

About David Enot

David Enot is a scholar working on Spectroscopy, Clinical Biochemistry and Immunology, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (16 papers), Cancer Immunotherapy and Biomarkers (10 papers), Autophagy in Disease and Therapy (8 papers), Mass Spectrometry Techniques and Applications (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Immunology (575 citations), Molecular Biology (1.9k citations) and Oncology (619 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, Nature Protocols, PLoS ONE, Autophagy and Cell Cycle.

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.

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