Mathilde Paris

22 papers receiving 1.1k citations

Peers

Mathilde Paris
Comparison fields: 5 of 87
  • Physiology 80
  • Aquatic Science 97
  • Genetics 351
  • Aging 19
  • Molecular Biology 552
Replace João C. R. Cardoso with:
João C. R. Cardoso Portugal
Frédéric Sohm France
Marilyne Duffraisse France
Jason Hodin United States
Tsuyoshi Kawada Japan
Francesco Angelini Italy
Kazuhiko Tsuneki Japan
Richard G. Manzon Canada
Simone Hoegg Germany
Piero Andreuccetti Italy
Mathilde Paris relative to João C. R. Cardoso Portugal João C. R. Cardoso's profile →
Citations per field
00.5×2.6×
João C. R. Cardoso · 1×
Citations per year

Countries citing papers authored by Mathilde Paris

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006307
2 2008101
3 201369
4 200868
5 200864
6 202061
7 200753
8 200852
9 200738
10 200835
11 200835
12 201034
13 202033
14 202226
15 200826
16 201518
17 202215
18 202212
19 200812
20 20227

About Mathilde Paris

Mathilde Paris is a scholar working on Physiology, Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience and Molecular Biology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Developmental Biology and Gene Regulation (4 papers), Reproductive biology and impacts on aquatic species (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Physiological and biochemical adaptations (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Physiology (80 citations), Aquatic Science (97 citations), Genetics (351 citations), Aging (19 citations) and Molecular Biology (552 citations). Mathilde Paris has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Vincent Laudet, Frédéric Brunet, Jean‐Marc Aury, Patricia Gibert, Olivier Jaillon, Hugues Roest Crollius, Marc Robinson‐Rechavi, Vincent Laudet, Michael Schubert and Stéphanie Bertrand. Their work appears in journals such as PLoS Genetics, Development Genes and Evolution, Molecular Biology and Evolution, Current topics in developmental biology 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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