Mathilde Paris

1.8k citations
24 papers · 1.3k · h-index 17

Impact in

Papers in

    • Neurobiology and Insect Physiology Research 6
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
    • Genetic diversity and population structure 2

Mathilde Paris

24 papers receiving 1.3k citations

Peers

Mathilde Paris
Comparison fields: 5 of 93
  • Physiology 90
  • Aquatic Science 108
  • Genetics 365
  • Aging 19
  • Molecular Biology 604
Replace Marilyne Duffraisse with:
Marilyne Duffraisse France
Justin Powell United Kingdom
Vanina Castelli France
Shoji Fukamachi Japan
Nathalie Boudet France
Francesco Aniello Italy
Helén Nilsson Sköld Sweden
Oriane Marchand France
Jason Hodin United States
Rebecca F. Furlong United Kingdom
Mathilde Paris relative to Marilyne Duffraisse France Marilyne Duffraisse's profile →
Citations per field
00.5×1.5×2.2×
Marilyne Duffraisse · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006321
2 2008116
3 2007102
4 200778
5 200874
6 200873
7 202073
8 201369
9 200858
10 201041
11 200840
12 200839
13 200739
14 202038
15 202228
16 200828
17 201518
18 202216
19 202216
20 200813

About Mathilde Paris

Mathilde Paris is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Physiology and Ecology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Developmental Biology and Gene Regulation (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Genomics and Phylogenetic Studies (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Physiological and biochemical adaptations (2 papers), RNA Interference and Gene Delivery (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Physiology (90 citations), Aquatic Science (108 citations), Genetics (365 citations), Aging (19 citations) and Molecular Biology (604 citations). Mathilde Paris has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Vincent Laudet, Frédéric Brunet, Patricia Gibert, Marc Robinson‐Rechavi, Hugues Roest Crollius, Jean‐Marc Aury, Olivier Jaillon, Michael Schubert, Stéphanie Bertrand and Héctor Escrivá. Their work appears in journals such as Development Genes and Evolution, PLoS Genetics, Molecular Biology and Evolution, genesis and iScience.

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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