Valentin Leducq

857 citations
22 papers · 352 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 9
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 detection and testing 3
    • Parvovirus B19 Infection Studies 2
    • Viral-associated cancers and disorders 7

Valentin Leducq

22 papers receiving 348 citations

Peers

Valentin Leducq
Comparison fields: 5 of 56
  • Infectious Diseases 216
  • Modeling and Simulation 21
  • Virology 12
  • Oncology 62
  • Epidemiology 56
Replace Mona Sadat Larijani with:
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Lara M. Jeworowski Germany
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Citations per field
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Citations per year

Countries citing papers authored by Valentin Leducq

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Leducq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Valentin Leducq, 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 Valentin Leducq Line = papers co-authored together Valentin Leducq 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 202077
2 202076
3 201932
4 202122
5 202019
6 202215
7 202215
8 201915
9 202015
10 202115
11 20219
12 20219
13 20226
14 20215
15 20225
16 20235
17 20233
18 20223
19 20222
20 20222

About Valentin Leducq

Valentin Leducq is a scholar working on Infectious Diseases, Oncology, Epidemiology, Neurology and Immunology, having authored 22 papers that have together received 352 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Viral-associated cancers and disorders (7 papers), COVID-19 Clinical Research Studies (4 papers), Cytomegalovirus and herpesvirus research (4 papers), SARS-CoV-2 detection and testing (3 papers), Parvovirus B19 Infection Studies (2 papers), Respiratory viral infections research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (216 citations), Modeling and Simulation (21 citations), Virology (12 citations), Oncology (62 citations) and Epidemiology (56 citations). Valentin Leducq has collaborated with scholars based in France, Mali and Canada. Frequent co-authors include Anne‐Geneviève Marcelin, Vincent Cálvez, Aude Jary, Stéphane Marot, Isabelle Malet, Sonia Burrel, Cathia Soulié, Marc Wirden, Adélie Gothland and Basma Abdi. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Infectious Diseases, Cancers, Open Forum Infectious Diseases and Scientific Reports.

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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