Annick Jacq

2.6k citations
47 papers · 1.7k · h-index 23

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Genetics top 2%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 14
    • DNA Repair Mechanisms 6
    • DNA and Nucleic Acid Chemistry 5
    • Bacterial Genetics and Biotechnology 24

Annick Jacq

47 papers receiving 1.7k citations

Peers

Annick Jacq
Comparison fields: 5 of 100
  • Endocrinology 479
  • Genetics 856
  • Molecular Medicine 130
  • Molecular Biology 1.0k
  • Immunology 288
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T J Chai United States
Nicholas J. Shikuma United States
Marc Bally France
Vladimir R. Kaberdin Spain
Mark L. Urbanowski United States
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Citations per field
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Citations per year

Countries citing papers authored by Annick Jacq

Since Specialization
Citations

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

Fields of papers citing papers by Annick Jacq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009200
2 1989152
3 2010147
4 2015134
5 199097
6 200691
7 199982
8 200256
9 199753
10 201449
11 199648
12 201948
13 201840
14 201237
15 201536
16 200830
17 199430
18 201629
19 200624
20 200823

About Annick Jacq

Annick Jacq is a scholar working on Molecular Biology, Genetics, Endocrinology, Immunology and Ecology, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (24 papers), Vibrio bacteria research studies (15 papers), RNA and protein synthesis mechanisms (14 papers), Aquaculture disease management and microbiota (10 papers), Escherichia coli research studies (8 papers), Bacteriophages and microbial interactions (8 papers), DNA Repair Mechanisms (6 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Endocrinology (479 citations), Genetics (856 citations), Molecular Medicine (130 citations), Molecular Biology (1.0k citations) and Immunology (288 citations). Annick Jacq has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include I. Barry Holland, Philippe Bouloc, David J. Clarke, Eric Jacquet, Romain Barbet, Jon Beckwith, Anthony K. Campbell, Kaymeuang Cam, Marie‐Pierre Castanié‐Cornet and Paul Riggs. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, Molecular Microbiology, Environmental Microbiology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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