Clara David

535 citations
17 papers · 297 · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • SARS-CoV-2 detection and testing 6
    • COVID-19 Clinical Research Studies 4

Clara David

15 papers receiving 292 citations

Peers

Clara David
Comparison fields: 5 of 35
  • Infectious Diseases 243
  • Modeling and Simulation 20
  • Health 23
  • Animal Science and Zoology 29
  • Immunology 41
Replace Ka-Li Zhu with:
Ka-Li Zhu China
Robert C. Patio United States
Sebastian Einhauser Germany
Monique Hollis-Perry United States
Sari Maljanen Finland
Alexander Hargreaves United Kingdom
Noëlla Pierlet Belgium
Melyssa Yaugel-Novoa France
Kathrin Tinnefeld Germany
Renee van de Wetering Netherlands
Clara David relative to Ka-Li Zhu China Ka-Li Zhu's profile →
Citations per field
00.5×1.6×
Ka-Li Zhu · 1×
Citations per year

Countries citing papers authored by Clara David

Since Specialization
Citations

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

Fields of papers citing papers by Clara David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202192
2 202162
3 202131
4 202227
5 202226
6 202215
7 202410
8 20248
9 20227
10 20225
11 20214
12 20244
13 20253
14 20242
15 20241
16 20250
17 20250

About Clara David

Clara David is a scholar working on Infectious Diseases, Equine, Hepatology, Health and Orthopedics and Sports Medicine, having authored 17 papers that have together received 297 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), SARS-CoV-2 detection and testing (6 papers), COVID-19 Clinical Research Studies (4 papers), Infection Control and Ventilation (1 paper), Vaccine Coverage and Hesitancy (1 paper), Animal Virus Infections Studies (1 paper), Vasculitis and related conditions (1 paper) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Infectious Diseases (243 citations), Modeling and Simulation (20 citations), Health (23 citations), Animal Science and Zoology (29 citations) and Immunology (41 citations). Clara David has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Jonathan Douxfils, Julien Favresse, Constant Gillot, Marc Elsen, Christine Eucher, Jean‐Michel Dogné, Sandrine Van Eeckhoudt, Jean‐Louis Bayart, Mélanie Closset and Grégoire Wieërs. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Medical Virology, Viruses, Journal of Thrombosis and Haemostasis and Journal of Infection.

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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