Frank Désarnaud

43 total papers · 2.6k total citations
20 papers, 1.7k citations indexed

About

Frank Désarnaud is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Frank Désarnaud has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrine and Autonomic Systems, 6 papers in Behavioral Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Frank Désarnaud's work include Stress Responses and Cortisol (6 papers), Sleep and Wakefulness Research (6 papers) and Circadian rhythm and melatonin (4 papers). Frank Désarnaud is often cited by papers focused on Stress Responses and Cortisol (6 papers), Sleep and Wakefulness Research (6 papers) and Circadian rhythm and melatonin (4 papers). Frank Désarnaud collaborates with scholars based in United States, Canada and Singapore. Frank Désarnaud's co-authors include Rachel Yehuda, Janine D. Flory, Iouri Makotkine, Linda M. Bierer, Nikolaos P. Daskalakis, Michael J. Meaney, Amy Lehrner, Marc Parmentier, Olivier Labbé and Dominique Eggerickx and has published in prestigious journals such as Nature, Journal of Neuroscience and Blood.

In The Last Decade

Frank Désarnaud

20 papers receiving 1.6k citations

Hit Papers

Influences of Maternal an... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank Désarnaud 379 357 346 310 250 20 1.7k
S. M. Schanberg 128 0.3× 450 1.3× 459 1.3× 222 0.7× 337 1.3× 42 2.2k
Mechthild Voits 314 0.8× 101 0.3× 463 1.3× 228 0.7× 805 3.2× 19 2.0k
Nicole Bowles 269 0.7× 157 0.4× 389 1.1× 605 2.0× 267 1.1× 38 2.0k
Kim Hellemans 153 0.4× 374 1.0× 196 0.6× 555 1.8× 384 1.5× 35 2.2k
Joanne Voisey 124 0.3× 267 0.7× 590 1.7× 233 0.8× 203 0.8× 81 1.7k
Johan Alsiö 293 0.8× 199 0.6× 547 1.6× 186 0.6× 677 2.7× 43 2.0k
Bill E. Beckwith 260 0.7× 124 0.3× 230 0.7× 238 0.8× 323 1.3× 57 1.4k
M. Van Eekelen 263 0.7× 141 0.4× 391 1.1× 1.1k 3.6× 282 1.1× 39 2.3k
Cheryl L. Kirstein 185 0.5× 254 0.7× 408 1.2× 347 1.1× 1.4k 5.7× 54 2.2k
John W. Crayton 197 0.5× 335 0.9× 232 0.7× 187 0.6× 385 1.5× 63 1.6k

Countries citing papers authored by Frank Désarnaud

Since Specialization
Citations

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

Fields of papers citing papers by Frank Désarnaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Désarnaud

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Désarnaud. A scholar is included among the top collaborators of Frank Désarnaud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Désarnaud. Frank Désarnaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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