Didier Zerbib

1.1k citations
20 papers · 878 · h-index 17

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • Biochemical and Molecular Research 4
    • Fungal and yeast genetics research 3
    • Bacterial Genetics and Biotechnology 7
    • Animal Genetics and Reproduction 2

Didier Zerbib

20 papers receiving 866 citations

Peers

Didier Zerbib
Comparison fields: 5 of 67
  • Molecular Medicine 109
  • Infectious Diseases 305
  • Genetics 268
  • Molecular Biology 594
  • Epidemiology 238
Replace Annabel Parret with:
Annabel Parret Germany
Jean‐Paul Brouard France
Martin Stieger Switzerland
Allison Fay United States
Matthew B. McNeil New Zealand
D. Biek United States
Xavier Méniche France
Miyuki Kumano Japan
Shaun R. Brinsmade United States
Audrey Boniface France
Didier Zerbib relative to Annabel Parret Germany Annabel Parret's profile →
Citations per field
00.5×1.5×1.8×
Annabel Parret · 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
#Work
1 200278
2 200473
3 199168
4 200568
5 201461
6 199858
7 198757
8 198555
9 200554
10 200351
11 199047
12 201144
13 198544
14 199035
15 199725
16 199024
17 201616
18 200614
19 20235
20 20151

About Didier Zerbib

Didier Zerbib is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Materials Chemistry, having authored 20 papers that have together received 878 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Tuberculosis Research and Epidemiology (7 papers), RNA and protein synthesis mechanisms (6 papers), Mycobacterium research and diagnosis (5 papers), Biochemical and Molecular Research (4 papers), Fungal and yeast genetics research (3 papers), Enzyme Structure and Function (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Molecular Medicine (109 citations), Infectious Diseases (305 citations), Genetics (268 citations), Molecular Biology (594 citations) and Epidemiology (238 citations). Didier Zerbib has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Michaël Chandler, David J. Galas, Mamadou Daffé, Romain Veyron‐Churlet, Pierre Prentki, Stephen C. West, Martin Cohen‐Gonsaud, Gilles Labesse, Jean-Michel Escoubas and Pascal Gamas. Their work appears in journals such as Journal of Molecular Biology, Molecular Microbiology, The EMBO Journal, PLoS ONE 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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