Daniel Gigot

2.9k citations
35 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Daniel Gigot

35 papers receiving 1.4k citations

Peers

Daniel Gigot
Comparison fields: 5 of 91
  • Geriatrics and Gerontology 187
  • Biochemistry 249
  • Physiology 98
  • Clinical Biochemistry 103
  • Molecular Biology 851
Replace Jeong Soo Yang with:
Jeong Soo Yang South Korea
Dylan J. Sorensen United States
Bertrand Daignan‐Fornier France
Christine Schlicker Germany
Danuta E. Mossakowska United Kingdom
Dan Su China
Vincent P. Kelly Ireland
Leonardo Sorci Italy
A Delaunay France
Mark E. Schmitt United States
Daniel Gigot relative to Jeong Soo Yang South Korea Jeong Soo Yang's profile →
Citations per field
00.5×2.5×
Jeong Soo Yang · 1×
Citations per year

Countries citing papers authored by Daniel Gigot

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200829
2 200635
3 200454
4 200313
5 2002466
6 200223
7 200224
8 200043
9 199848
10 199740
11 199723
12 199618
13 199526
14 199563
15 199325
16 199017
17 198544
18 198024
19
Transcription polarity of the carAB gene cluster of Escherichia coli [proceedings].
19782
20 197626

About Daniel Gigot

Daniel Gigot is a scholar working on Biochemistry, Clinical Biochemistry, Genetics, Molecular Medicine and Molecular Biology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Amino Acid Enzymes and Metabolism (10 papers), Polyamine Metabolism and Applications (9 papers), Enzyme Structure and Function (9 papers), Metabolism and Genetic Disorders (8 papers), Biochemical and Molecular Research (7 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Geriatrics and Gerontology (187 citations), Biochemistry (249 citations), Physiology (98 citations), Clinical Biochemistry (103 citations) and Molecular Biology (851 citations). Daniel Gigot has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Nicolas Glansdorff, Daniël Charlier, Martha H. Mulks, Fabienne Andris, Jacques Urbain, Anthony Rongvaux, Oberdan Léo, André Pierard, Michel Pennînckx and Martine Roovers. Their work appears in journals such as Journal of Molecular Biology, Journal of Bacteriology, Molecular Microbiology, FEBS Letters and European Journal of Biochemistry.

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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