Marie Picot

2.9k citations
72 papers · 2.0k indexed · h-index 26

Marie Picot

67 papers receiving 2.0k citations

Peers

Marie Picot
Comparison fields: 5 of 131
  • Endocrine and Autonomic Systems 509
  • Cellular and Molecular Neuroscience 716
  • Neurology 404
  • Aging 38
  • Neurology 96
Replace Benson Wui-Man Lau with:
Benson Wui-Man Lau Hong Kong
Mitsuharu Yoshiyama Japan
Glenda E. Gillies United Kingdom
Rebecca L. Cunningham United States
J. Thomas Cunningham United States
Tatsushi Mutoh Japan
B Baranowska Poland
Robert E. Shapiro United States
Tetsuya Kushikata Japan
L. C. Keil United States
Marie Picot relative to Benson Wui-Man Lau Hong Kong Benson Wui-Man Lau's profile →
Citations per field
00.5×3.0×
Benson Wui-Man Lau · 1×
Citations per year

Countries citing papers authored by Marie Picot

Since Specialization
Citations

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

Fields of papers citing papers by Marie Picot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20231
3 20232
4 20228
5 202014
6 201925
7 201912
8 201627
9 201625
10 201632
11 201576
12 201520
13 201449
14 201214
15 201137
16 20093
17 200973
18
Season of birth variations as risk factor of suicide attempts and interaction with the serotonin transporter gene
20061
19 2004149
20 199737

About Marie Picot

Marie Picot is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (11 papers), Neuropeptides and Animal Physiology (8 papers), Pancreatic function and diabetes (8 papers), Suicide and Self-Harm Studies (7 papers), Circadian rhythm and melatonin (7 papers), Neurobiology and Insect Physiology Research (6 papers), Light effects on plants (5 papers) and Hypothalamic control of reproductive hormones (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (509 citations), Cellular and Molecular Neuroscience (716 citations) and Neurology (404 citations). Marie Picot has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include François Rouyer, André Klarsfeld, Elisabeth Chélot, Laura Cif, Simone Hemm, Paola Cusumano, Nathalie Vayssière, Philippe Frèrebeau, Philippe Coubes and Sébastien Malpel. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

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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