Didier Zerbib

1.1k citations
22 papers · 949 · h-index 17

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • Fungal and yeast genetics research 3
    • Genomics and Phylogenetic Studies 3
    • Biochemical and Molecular Research 3
    • Bacterial Genetics and Biotechnology 9

Didier Zerbib

22 papers receiving 930 citations

Peers

Didier Zerbib
Comparison fields: 5 of 70
  • Molecular Medicine 117
  • Infectious Diseases 317
  • Genetics 275
  • Molecular Biology 613
  • Epidemiology 240
Replace Jean‐Paul Brouard with:
Jean‐Paul Brouard France
Allison Fay United States
Martin Stieger Switzerland
Caroline Morehouse United States
Matthew B. McNeil New Zealand
D. Biek United States
Xavier Méniche France
Koen A. L. De Smet United Kingdom
Audrey Boniface France
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Citations per field
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Jean‐Paul Brouard · 1×
Citations per year

Countries citing papers authored by Didier Zerbib

Since Specialization
Citations

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

Fields of papers citing papers by Didier Zerbib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200285
2 200481
3 199176
4 200569
5 201466
6 199861
7 200561
8 198758
9 200355
10 198555
11 198553
12 201149
13 199048
14 199035
15 199725
16 199024
17 201617
18 200616
19 20237
20 20176

About Didier Zerbib

Didier Zerbib is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Ecology, having authored 22 papers that have together received 949 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (6 papers), Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers), Fungal and yeast genetics research (3 papers), Enzyme Structure and Function (3 papers), Genomics and Phylogenetic Studies (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Molecular Medicine (117 citations), Infectious Diseases (317 citations), Genetics (275 citations), Molecular Biology (613 citations) and Epidemiology (240 citations). Didier Zerbib has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Michaël Chandler, David J. Galas, Mamadou Daffé, Romain Veyron‐Churlet, Pierre Prentki, Stephen C. West, Gilles Labesse, Martin Cohen‐Gonsaud, Jean-Michel Escoubas and Françoise Laval. Their work appears in journals such as Journal of Molecular Biology, Molecular Microbiology, PLoS ONE, The EMBO Journal and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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