David Enot

14.6k total citations
51 papers, 3.3k citations indexed

About

David Enot is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, David Enot has authored 51 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Immunology. Recurrent topics in David Enot's work include Metabolomics and Mass Spectrometry Studies (16 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Autophagy in Disease and Therapy (8 papers). David Enot is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (16 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Autophagy in Disease and Therapy (8 papers). David Enot collaborates with scholars based in France, United Kingdom and Sweden. David Enot's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Clinical Oncology.

In The Last Decade

David Enot

51 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Enot France 32 1.9k 619 575 543 451 51 3.3k
Naoya Hatano Japan 34 2.8k 1.5× 338 0.5× 374 0.7× 303 0.6× 275 0.6× 92 4.2k
Sebastian Wiese Germany 27 3.1k 1.7× 251 0.4× 292 0.5× 400 0.7× 282 0.6× 81 4.4k
David P. De Souza Australia 31 1.5k 0.8× 764 1.2× 638 1.1× 518 1.0× 79 0.2× 88 3.2k
Zhimin Wang China 37 2.4k 1.3× 364 0.6× 572 1.0× 557 1.0× 515 1.1× 273 4.6k
Farrokh Mehryary Finland 8 2.1k 1.1× 299 0.5× 370 0.6× 241 0.4× 267 0.6× 15 3.8k
Daniela Cecconi Italy 33 1.6k 0.9× 410 0.7× 136 0.2× 134 0.2× 325 0.7× 111 3.1k
Yoichi Sakakibara Japan 27 1.7k 0.9× 331 0.5× 1.3k 2.2× 215 0.4× 235 0.5× 150 3.8k
Yousuke Seyama Japan 29 2.8k 1.5× 474 0.8× 302 0.5× 240 0.4× 163 0.4× 122 4.6k
Tae‐Wook Chung South Korea 31 2.6k 1.4× 462 0.7× 757 1.3× 431 0.8× 222 0.5× 129 4.5k
Stéphen Manon France 42 4.2k 2.3× 301 0.5× 323 0.6× 1.1k 2.0× 471 1.0× 104 5.3k

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 of co-authors of David Enot

This figure shows the co-authorship network connecting the top 25 collaborators of David Enot. A scholar is included among the top collaborators of David Enot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Enot. David Enot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Isnard, Christophe, Sara B. Hernández, François Guérin, et al.. (2020). Unexpected Cell Wall Alteration-Mediated Bactericidal Activity of the Antifungal Caspofungin against Vancomycin-Resistant Enterococcus faecium. Antimicrobial Agents and Chemotherapy. 64(10). 8 indexed citations
2.
Enot, David, Erika Vacchelli, Nicolas Jacquelot, Laurence Zitvogel, & Guido Kroemer. (2018). TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves. OncoImmunology. 7(9). e1462431–e1462431. 73 indexed citations
3.
Esteban‐Martínez, Lorena, Elena Sierra‐Filardi, Rebecca McGreal, et al.. (2017). Programmed mitophagy is essential for the glycolytic switch during cell differentiation. The EMBO Journal. 36(12). 1688–1706. 261 indexed citations
4.
Jacquelot, Nicolas, David Enot, Sylvie Rusakiewicz, et al.. (2016). Immunophenotyping of Stage III Melanoma Reveals Parameters Associated with Patient Prognosis. Journal of Investigative Dermatology. 136(5). 994–1001. 22 indexed citations
5.
Messaoudene, Meriem, Giulia Fregni, David Enot, et al.. (2016). NKp30 isoforms and NKp46 transcripts in metastatic melanoma patients: Unique NKp30 pattern in rare melanoma patients with favorable evolution. OncoImmunology. 5(12). e1154251–e1154251. 20 indexed citations
6.
Ladoire, Sylvain, David Enot, Laura Senovilla, et al.. (2016). Positive impact of autophagy in human breast cancer cells on local immunosurveillance. OncoImmunology. 5(6). e1174801–e1174801. 6 indexed citations
7.
Ngiow, Shin Foong, Arabella Young, Nicolas Jacquelot, et al.. (2015). A Threshold Level of Intratumor CD8+ T-cell PD1 Expression Dictates Therapeutic Response to Anti-PD1. Cancer Research. 75(18). 3800–3811. 184 indexed citations
8.
Enot, David, Mireia Niso‐Santano, Sylvère Durand, et al.. (2015). Metabolomic analyses reveal that anti-aging metabolites are depleted by palmitate but increased by oleate in vivo. Cell Cycle. 14(15). 2399–2407. 26 indexed citations
9.
Vacchelli, Erika, Michaëla Semeraro, David Enot, et al.. (2015). Negative prognostic impact of regulatory T cell infiltration in surgically resected esophageal cancer post-radiochemotherapy. Oncotarget. 6(25). 20840–20850. 50 indexed citations
10.
Pietrocola, Federico, Sylvie Lachkar, David Enot, et al.. (2014). Spermidine induces autophagy by inhibiting the acetyltransferase EP300. Cell Death and Differentiation. 22(3). 509–516. 229 indexed citations
11.
Aranda, Fernando, Benoît Petit, Kariman Chaba, et al.. (2014). Immune-dependent antineoplastic effects of cisplatin plus pyridoxine in non-small-cell lung cancer. Oncogene. 34(23). 3053–3062. 61 indexed citations
12.
Griesmaier, Elke, David Enot, Vera Neubauer, et al.. (2012). Systematic characterization of amplitude-integrated EEG signals for monitoring the preterm brain. Pediatric Research. 73(2). 226–235. 22 indexed citations
13.
Griffiths, William J., Therese Koal, Yuqin Wang, et al.. (2010). Targeted Metabolomics for Biomarker Discovery. Angewandte Chemie International Edition. 49(32). 5426–5445. 305 indexed citations
14.
Solberg, Rønnaug, David Enot, Hans‐Peter Deigner, et al.. (2010). Metabolomic Analyses of Plasma Reveals New Insights into Asphyxia and Resuscitation in Pigs. PLoS ONE. 5(3). e9606–e9606. 104 indexed citations
15.
Draper, John, David Enot, David Parker, et al.. (2009). Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'. BMC Bioinformatics. 10(1). 227–227. 118 indexed citations
16.
Parker, David A., Manfred Beckmann, Hassan Zubair, et al.. (2009). Metabolomic analysis reveals a common pattern of metabolic re‐programming during invasion of three host plant species by Magnaporthe grisea. The Plant Journal. 59(5). 723–737. 173 indexed citations
17.
Beckmann, Manfred, David Enot, David P. Overy, et al.. (2009). Metabolite fingerprinting of urine suggests breed-specific dietary metabolism differences in domestic dogs. British Journal Of Nutrition. 103(8). 1127–1138. 34 indexed citations
18.
Beckmann, Manfred, et al.. (2008). High-throughput, nontargeted metabolite fingerprinting using nominal mass flow injection electrospray mass spectrometry. Nature Protocols. 3(3). 486–504. 107 indexed citations
19.
Enot, David, Wanchang Lin, Manfred Beckmann, et al.. (2008). Preprocessing, classification modeling and feature selection using flow injection electrospray mass spectrometry metabolite fingerprint data. Nature Protocols. 3(3). 446–470. 84 indexed citations
20.
Enot, David, Manfred Beckmann, David P. Overy, & John Draper. (2006). Predicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signals. Proceedings of the National Academy of Sciences. 103(40). 14865–14870. 33 indexed citations

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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