Florence Maschat

872 citations
26 papers · 714 indexed · h-index 17

Impact in

Papers in

    • Neurobiology and Insect Physiology Research 9
    • Genetic Neurodegenerative Diseases 7
    • Developmental Biology and Gene Regulation 9
    • Genomics and Chromatin Dynamics 5
    • Mitochondrial Function and Pathology 4
    • Insect Resistance and Genetics 4
    • Epigenetics and DNA Methylation 3
    • Ubiquitin and proteasome pathways 3

Florence Maschat

26 papers receiving 705 citations

Peers

Florence Maschat
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 292
  • Aging 19
  • Molecular Biology 564
  • Developmental Neuroscience 20
  • Cell Biology 75
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Citations per field
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Citations per year

Countries citing papers authored by Florence Maschat

Since Specialization
Citations

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

Fields of papers citing papers by Florence Maschat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202110
2 201820
3 20172
4 201625
5 20145
6 201327
7 201149
8 2010107
9 200812
10 200613
11 200517
12 200439
13 200339
14 199819
15 199511
16 199534
17 199111
18 198916
19 198612
20 198289

About Florence Maschat

Florence Maschat is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Genetics and Biochemistry, having authored 26 papers that have together received 714 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Developmental Biology and Gene Regulation (9 papers), Genetic Neurodegenerative Diseases (7 papers), Genomics and Chromatin Dynamics (5 papers), Mitochondrial Function and Pathology (4 papers), Insect Resistance and Genetics (4 papers), Epigenetics and DNA Methylation (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (292 citations), Aging (19 citations), Molecular Biology (564 citations), Developmental Neuroscience (20 citations) and Cell Biology (75 citations). Florence Maschat has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Miriam A. Hickey, Sandrine Humbert, Juliette D. Godin, Ghislaine Poizat, Nathalie Bonneaud, Klaus Scherrer, J. Moreau, L. Marcaud, Jana Kejzlarová‐Lepesant and Hugh W. Brock. Their work appears in journals such as Development, Developmental Biology, PLoS ONE, Acta Neuropathologica Communications and Mechanisms of Development.

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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