Daniel Gigot

3.0k citations
35 papers · 1.5k · h-index 22

Impact in

Papers in

    • Polyamine Metabolism and Applications 9
    • RNA and protein synthesis mechanisms 7
    • Biochemical and Molecular Research 7
    • Bacterial Genetics and Biotechnology 12

Daniel Gigot

35 papers receiving 1.4k citations

Peers

Daniel Gigot
Comparison fields: 5 of 93
  • Geriatrics and Gerontology 190
  • Biochemistry 252
  • Physiology 98
  • Clinical Biochemistry 105
  • Molecular Biology 848
Replace Jeong Soo Yang with:
Jeong Soo Yang South Korea
Dylan J. Sorensen United States
Christine Schlicker Germany
Leonardo Sorci Italy
Sunil Laxman India
Mark E. Schmitt United States
Alexandria K. Sahu United States
Vincent P. Kelly Ireland
Beom Sik Kang South Korea
Cheol‐Sang Hwang South Korea
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Citations per field
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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-authors

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

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002479
2 198472
3 197468
4 199568
5 197662
6 200455
7 200053
8 199851
9 200049
10 198547
11 199743
12 200639
13 200831
14 200330
15 199528
16 197727
17 197626
18 199725
19 199325
20 200224

About Daniel Gigot

Daniel Gigot is a scholar working on Molecular Biology, Genetics, Biochemistry, Clinical Biochemistry and Materials Chemistry, 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), Enzyme Structure and Function (9 papers), Polyamine Metabolism and Applications (9 papers), Metabolism and Genetic Disorders (8 papers), RNA and protein synthesis mechanisms (7 papers), Biochemical and Molecular Research (7 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Geriatrics and Gerontology (190 citations), Biochemistry (252 citations), Physiology (98 citations), Clinical Biochemistry (105 citations) and Molecular Biology (848 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, Anthony Rongvaux, Jacques Urbain, Oberdan Léo, Fabienne Andris, 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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