Jean‐Paul Ravault

20 total papers · 587 total citations
18 papers, 502 citations indexed

About

Jean‐Paul Ravault is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jean‐Paul Ravault has authored 18 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrine and Autonomic Systems, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Jean‐Paul Ravault's work include Circadian rhythm and melatonin (11 papers), Neurobiology and Insect Physiology Research (5 papers) and Reproductive Physiology in Livestock (3 papers). Jean‐Paul Ravault is often cited by papers focused on Circadian rhythm and melatonin (11 papers), Neurobiology and Insect Physiology Research (5 papers) and Reproductive Physiology in Livestock (3 papers). Jean‐Paul Ravault collaborates with scholars based in France, Italy and United States. Jean‐Paul Ravault's co-authors include Yves Tillet, M. de Reviers, Didier Chesneau, Bruno Cozzi, Jean‐Claude Thiéry, M. Caldani, Graeme B. Martin, C. M. Oldham, Pascal Poindron and P. Orgeur and has published in prestigious journals such as The Journal of Comparative Neurology, American Journal of Physiology-Endocrinology and Metabolism and European Journal of Pharmacology.

In The Last Decade

Jean‐Paul Ravault

18 papers receiving 485 citations

Author Peers

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

Author Last Decade Papers Cites
Jean‐Paul Ravault 292 141 130 85 74 18 502
T. A. Gilmore 238 0.8× 119 0.8× 165 1.3× 77 0.9× 31 0.4× 9 487
G Siawrys 188 0.6× 101 0.7× 125 1.0× 125 1.5× 114 1.5× 37 545
A. L. Poulton 352 1.2× 56 0.4× 216 1.7× 103 1.2× 28 0.4× 19 605
M. Caldani 217 0.7× 157 1.1× 98 0.8× 49 0.6× 232 3.1× 21 585
Dana Wilson 399 1.4× 58 0.4× 49 0.4× 159 1.9× 83 1.1× 17 618
A. Daveau 266 0.9× 52 0.4× 290 2.2× 60 0.7× 113 1.5× 13 605
Sandy Sorrentino 294 1.0× 99 0.7× 36 0.3× 98 1.2× 115 1.6× 28 582
G. S. Knaggs 146 0.5× 52 0.4× 155 1.2× 47 0.6× 70 0.9× 25 615
Barbara Steele 203 0.7× 37 0.3× 100 0.8× 104 1.2× 103 1.4× 23 519
W. R. A. K. J. S. Rajapaksha 114 0.4× 188 1.3× 40 0.3× 51 0.6× 81 1.1× 13 558

Countries citing papers authored by Jean‐Paul Ravault

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Paul Ravault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Paul Ravault. 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 Jean‐Paul Ravault. The network helps show where Jean‐Paul Ravault may publish in the future.

Co-authorship network of co-authors of Jean‐Paul Ravault

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Paul Ravault. A scholar is included among the top collaborators of Jean‐Paul Ravault 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 Jean‐Paul Ravault. Jean‐Paul Ravault 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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