Christelle Reynès

1.7k citations
46 papers · 1.1k indexed · h-index 17

Christelle Reynès

45 papers receiving 1.1k citations

Peers

Christelle Reynès
Comparison fields: 5 of 129
  • Health, Toxicology and Mutagenesis 191
  • Computational Theory and Mathematics 198
  • Virology 48
  • Animal Science and Zoology 82
  • Molecular Biology 540
Replace Stacey N. Reinke with:
Stacey N. Reinke Australia
John P. Rooney United States
Biswapriya B. Misra United States
J. Rafael Montenegro-Burke United States
Carlos Guijas Spain
Vernon E. Walker United States
Alla Karnovsky United States
David P. Lovell United Kingdom
Yasuhiro Uno Japan
Guillermo Elizondo Mexico
Christelle Reynès relative to Stacey N. Reinke Australia Stacey N. Reinke's profile →
Citations per field
00.5×4.8×
Stacey N. Reinke · 1×
Citations per year

Countries citing papers authored by Christelle Reynès

Since Specialization
Citations

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

Fields of papers citing papers by Christelle Reynès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20235
3 202212
4 202121
5 202128
6 20211
7 202012
8 20203
9 202018
10 201978
11 201914
12 20189
13 2017129
14 201711
15 20177
16 201612
17
Une nouvelle proposition, l’Analyse Discriminante Multitableaux : STATIS-LDA
20135
18 201321
19 201045
20 200751

About Christelle Reynès

Christelle Reynès is a scholar working on Virology, Computational Theory and Mathematics and Analytical Chemistry, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Genetic Syndromes and Imprinting (4 papers), Microbial Natural Products and Biosynthesis (3 papers), HIV-related health complications and treatments (3 papers), HIV Research and Treatment (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (191 citations), Computational Theory and Mathematics (198 citations) and Virology (48 citations). Christelle Reynès has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Bruno O. Villoutreix, Anne‐Claude Camproux, Olivier Spérandio, Robert Sabatier, Marion Mortamais, Philippe Patureau Mirand, Christophe Chambon, Didier Rémond, Martine Morzel and Mar Álvarez‐Pedrerol. Their work appears in journals such as Bioinformatics, PLoS ONE 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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