L. Paut

508 citations
9 papers · 457 · h-index 7

Impact in

Papers in

L. Paut

9 papers receiving 448 citations

Peers

L. Paut
Comparison fields: 5 of 56
  • Endocrine and Autonomic Systems 188
  • Behavioral Neuroscience 93
  • Cellular and Molecular Neuroscience 272
  • Social Psychology 193
  • Reproductive Medicine 61
Replace Maryann A. Romagnano with:
Maryann A. Romagnano United States
Pamella E. Kolb United States
Yasuaki Kagotani Japan
Romeo Caffé Netherlands
H. Widmer United Kingdom
I.J.A. Urban Netherlands
A Gouget France
S. Pretel United States
I Merchenthaler Hungary
Fumio Kawakami Japan
L. Paut relative to Maryann A. Romagnano United States Maryann A. Romagnano's profile →
Citations per field
00.5×3.1×
Maryann A. Romagnano · 1×
Citations per year

Countries citing papers authored by L. Paut

Since Specialization
Citations

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

Fields of papers citing papers by L. Paut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside L. Paut, 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 L. Paut Line = papers co-authored together L. Paut links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1986158
2 1983130
3 198455
4 198646
5 198526
6 198016
7 198616
8
[Genetic study of paradoxical sleep in mice. Connection with coloration genes].
19806
9
Etude genetique du sommeil paradoxal chez la souris. I. Liaison possible avec les genes de coloration.
19804

About L. Paut

L. Paut is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Social Psychology, Cognitive Neuroscience and Molecular Biology, having authored 9 papers that have together received 457 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (2 papers), Sleep and Wakefulness Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Photoreceptor and optogenetics research (2 papers), Neuroendocrine regulation and behavior (2 papers), Neurobiology and Insect Physiology Research (1 paper), Ion channel regulation and function (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (188 citations), Behavioral Neuroscience (93 citations), Cellular and Molecular Neuroscience (272 citations), Social Psychology (193 citations) and Reproductive Medicine (61 citations). L. Paut has collaborated with scholars based in France, Netherlands and Hungary. Frequent co-authors include Marcel Tappaz, D.T. Theodosis, Marion Wassef, J.F. Pujol, WH Oertel, Anne Bérod, Mireille Chat, Bruce G. Jenks, B.M.L. Verburg-van Kemenade and Olivier Bosler. Their work appears in journals such as Neuroscience, Endocrinology, Journal of Histochemistry & Cytochemistry, Brain Research and Brain Research Bulletin.

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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