Mathilde Girard

1.5k citations
21 papers · 927 · h-index 14

Impact in

Papers in

Mathilde Girard

18 papers receiving 916 citations

Peers

Mathilde Girard
Comparison fields: 5 of 88
  • Molecular Biology 662
  • Cellular and Molecular Neuroscience 157
  • Aging 12
  • Cell Biology 87
  • Genetics 54
Replace Graham Hamilton with:
Graham Hamilton United Kingdom
William Coley United States
Ling T. Guo United States
Alessia Deglincerti United States
Ellen van Beusekom Netherlands
Caroline Le Guiner France
G. Cederquist United States
Steven C. Miller United States
Laëtitia Aubry France
Hiroki Kano Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mathilde Girard

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001123
2 2012119
3 2016119
4 2011119
5 200295
6 201194
7 200646
8 200445
9 201638
10 201835
11 200831
12 201527
13 201716
14 201415
15
Proprement dit : entretien sur le mythe
20151
16 20201
17 20071
18 20041
19 20071
20 20180

About Mathilde Girard

Mathilde Girard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Genetics and Surgery, having authored 21 papers that have together received 927 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), 3D Printing in Biomedical Research (4 papers), Neuroscience and Neural Engineering (3 papers), Genomics and Chromatin Dynamics (2 papers), Connexins and lens biology (2 papers), RNA modifications and cancer (2 papers), Mitochondrial Function and Pathology (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (662 citations), Cellular and Molecular Neuroscience (157 citations), Aging (12 citations), Cell Biology (87 citations) and Genetics (54 citations). Mathilde Girard has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Marc Peschanski, Michel Goossens, Pierre‐Antoine Gourraud, Xavier Nissan, Cécile V. Denis, Heinz‐Georg Jahnke, Andrea A. Robitzki, Philippe Mangeot, Vincent Lotteau and Sandra Dollet. Their work appears in journals such as Biosensors and Bioelectronics, Molecular Therapy, Scientific Reports, Stem Cells and Tissue Engineering Part C Methods.

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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