G. Verdier

696 citations
25 papers · 570 · h-index 15

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Genetics top 10%
    • Virus-based gene therapy research
    • Hemoglobinopathies and Related Disorders
    • Animal Genetics and Reproduction

Papers in

    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 3
    • Herpesvirus Infections and Treatments 9

G. Verdier

24 papers receiving 547 citations

Peers

G. Verdier
Comparison fields: 5 of 47
  • Virology 71
  • Genetics 115
  • Genetics 276
  • Hematology 70
  • Molecular Biology 366
Replace T.Gordon Wood with:
T.Gordon Wood United States
Nathan Englund United States
Susan M. Cleveland United States
Tirumala Kumar Chowdary India
Sylvie Chapel‐Fernandes France
J. Lida United Kingdom
A Gil United Kingdom
Christine Kaeppel Germany
Saswati Chatterjee United States
Derik de Bruin United States
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Citations per field
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Citations per year

Countries citing papers authored by G. Verdier

Since Specialization
Citations

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

Fields of papers citing papers by G. Verdier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199497
2 198862
3 199055
4 199838
5 198731
6 199130
7 198927
8 199224
9 198723
10 198023
11 200322
12 199122
13 197720
14 200217
15 197715
16 197312
17 199611
18 19929
19 19759
20 19937

About G. Verdier

G. Verdier is a scholar working on Molecular Biology, Epidemiology, Genetics, Genetics and Animal Science and Zoology, having authored 25 papers that have together received 570 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Virus-based gene therapy research (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Animal Virus Infections Studies (5 papers), Animal Genetics and Reproduction (3 papers), RNA and protein synthesis mechanisms (3 papers), Iron Metabolism and Disorders (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Virology (71 citations), Genetics (115 citations), Genetics (276 citations), Hematology (70 citations) and Molecular Biology (366 citations). G. Verdier has collaborated with scholars based in France, Algeria and United Kingdom. Frequent co-authors include V. Nigon, Yahia Chebloune, François‐Loïc Cosset, C. Fauré, G Trabuchet, Pierre Savatier, Catherine Legras‐Lachuer, J. Pagnier, Olivier Danos and Monique Aumailley. Their work appears in journals such as Journal of Virology, Archives of Virology, Blood, Virology and Journal of Molecular Evolution.

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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