Claire Arnauld

18 papers receiving 915 citations

Peers

Claire Arnauld
Comparison fields: 5 of 47
  • Animal Science and Zoology 494
  • Infectious Diseases 464
  • Epidemiology 438
  • Genetics 325
  • Cardiology and Cardiovascular Medicine 189
Replace J. Ignjatovic with:
J. Ignjatovic Australia
R.W. Peters United States
Tamás Mató Hungary
Isao Shibata Japan
S. I. Sapats Australia
Hyuk Moo Kwon South Korea
N. Chettle United Arab Emirates
Claudia Maria Tucciarone Italy
Matteo Legnardi Italy
B. Adair United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Claire Arnauld

Since Specialization
Citations

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

Fields of papers citing papers by Claire Arnauld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2000210
2 2000162
3 1998113
4 1999100
5 199874
6 200062
7 199947
8 199842
9 200029
10 199827
11 199926
12 199721
13 199915
14 199711
15
Efficient production of internal standard DNA for quantitative PCR using an automated sequencer.
19958
16 19987
17
Pseudorabies virus latency: a quantitative approach by polymerase chain reaction.
19945
18
Chemiluminescent detection of amplified pseudorabies virus gp50 DNA with immobilized probes on microtiter wells.
19944
19
Caractérisation antigénique et génomique de souches ivoiriennes et sénégalaises du virus de la maladie de Gumboro (IBDV)
19990

About Claire Arnauld

Claire Arnauld is a scholar working on Genetics, Animal Science and Zoology, Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 963 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (6 papers), Virology and Viral Diseases (4 papers), Mosquito-borne diseases and control (3 papers), Viral Infections and Immunology Research (3 papers), Herpesvirus Infections and Treatments (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (494 citations), Infectious Diseases (464 citations), Epidemiology (438 citations), Genetics (325 citations) and Cardiology and Cardiovascular Medicine (189 citations). Claire Arnauld has collaborated with scholars based in Ivory Coast, France and United States. Frequent co-authors include D. Toquin, Nicolas Eterradossi, André Jestin, Marie-Hélène Bäyon-Auboyer, G. Rivallan, Emmanuel Albina, Philippe Blanchard, Roland Cariolet, Catherine Truong and Pierre Le Cann. Their work appears in journals such as Journal of General Virology, Journal of Virology, Virus Research, Microbiology and Avian Pathology.

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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