David Gilot

3.6k citations
55 papers · 2.3k · h-index 25

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • CRISPR and Genetic Engineering 5
    • RNA modifications and cancer 5
    • Melanoma and MAPK Pathways 4
    • Cell death mechanisms and regulation 4
    • Toxic Organic Pollutants Impact 9

David Gilot

54 papers receiving 2.2k citations

Peers

David Gilot
Comparison fields: 5 of 112
  • Hepatology 219
  • Cancer Research 330
  • Health, Toxicology and Mutagenesis 320
  • Biological Psychiatry 50
  • Hematology 206
Replace Aijuan Qu with:
Aijuan Qu China
Concetta Bubici United States
Fang Zhao China
Rong Cong China
Lesley M. Forrester United Kingdom
Richard Edwards United Kingdom
Almudena Porrás Spain
Ying‐Hue Lee United States
Makoto Nagashima Japan
G E Sonenshein United States
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Citations per field
00.5×9.1×
Aijuan Qu · 1×
Citations per year

Countries citing papers authored by David Gilot

Since Specialization
Citations

This map shows the geographic impact of David Gilot'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 Gilot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gilot more than expected).

Fields of papers citing papers by David Gilot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Gilot. 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 Gilot. The network helps show where David Gilot may publish in the future.

Co-authors

The 25 scholars most cited alongside David Gilot, 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 Gilot Line = papers co-authored together David Gilot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020216
2 2002216
3 2008121
4 2002115
5 2005105
6 2002100
7 200698
8 200398
9 201884
10 201471
11 202164
12 200360
13 201159
14 200756
15 200456
16 200547
17 200246
18 201042
19 200142
20 200937

About David Gilot

David Gilot is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Hepatology, Cancer Research and Oncology, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (9 papers), Liver physiology and pathology (8 papers), RNA Interference and Gene Delivery (5 papers), CRISPR and Genetic Engineering (5 papers), RNA modifications and cancer (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Melanoma and MAPK Pathways (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Hepatology (219 citations), Cancer Research (330 citations), Health, Toxicology and Mutagenesis (320 citations), Biological Psychiatry (50 citations) and Hematology (206 citations). David Gilot has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Olivier Fardel, Christiane Guguen‐Guillouzo, Marie‐Dominique Galibert, Dominique Lagadic‐Gossmann, Pascal Loyer, Eric Le Ferrec, Valérie Lecureur, Laura Bachelot, Georges Baffet and Anaïs M. Quéméner. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Human Mutation, Hepatology and Genes.

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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