Mathilde C. C. Guillaumin

456 citations
14 papers · 225 · h-index 7

Impact in

Papers in

Mathilde C. C. Guillaumin

14 papers receiving 223 citations

Peers

Mathilde C. C. Guillaumin
Comparison fields: 5 of 58
  • Endocrine and Autonomic Systems 92
  • Cognitive Neuroscience 158
  • Cellular and Molecular Neuroscience 88
  • Experimental and Cognitive Psychology 54
  • Neurology 12
Replace Andawei Miao with:
Andawei Miao United Kingdom
Celia Gagliardi United States
Hanna Hayat Israel
Michelle Bridi United States
Sufyan Ashhad United States
Akihiro Karashima Japan
Rebecca R. Goldblum United States
Hanna E. van den Munkhof Netherlands
Gil Vantomme Switzerland
Qi‐Cheng Qiao China
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Citations per field
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Citations per year

Countries citing papers authored by Mathilde C. C. Guillaumin

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde C. C. Guillaumin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202179
2 202030
3 201829
4 202127
5 202123
6 202011
7 20238
8 20225
9 20235
10 20243
11 20232
12 20231
13 20251
14
[Comparative study of the fresh weight of various French and Japanese strains of Drosophila melanogaster].
19611

About Mathilde C. C. Guillaumin

Mathilde C. C. Guillaumin is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 225 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (10 papers), Circadian rhythm and melatonin (7 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Sleep and related disorders (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Diet and metabolism studies (2 papers) and Birth, Development, and Health (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (92 citations), Cognitive Neuroscience (158 citations), Cellular and Molecular Neuroscience (88 citations), Experimental and Cognitive Psychology (54 citations) and Neurology (12 citations). Mathilde C. C. Guillaumin has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Vladyslav V. Vyazovskiy, Laura E. McKillop, Denis Burdakov, Stuart N. Peirson, Martin C. Kahn, Peter Achermann, Vincent van der Vinne, Tomoko Yamagata, Cristina Blanco‐Duque and Lukas B. Krone. Their work appears in journals such as Nutrients, Journal of Sleep Research, Current Biology, PLoS Computational Biology and Molecular Psychiatry.

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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