Pascal Dournaud

4.4k citations
59 papers · 2.6k · h-index 26

Impact in

Papers in

Pascal Dournaud

59 papers receiving 2.5k citations

Peers

Pascal Dournaud
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 892
  • Developmental Neuroscience 133
  • Endocrine and Autonomic Systems 161
  • Neurology 197
  • Endocrinology, Diabetes and Metabolism 344
Replace M. Galbiati with:
M. Galbiati Italy
Lone Helboe Denmark
Dana Beitner‐Johnson United States
Lars P. van der Heide Netherlands
Andrea Caricasole Italy
Nicholas Rensing United States
Anne‐Laurence Boutillier France
Mariarita Santi United States
Pasi Tavi Finland
Marı́a Santacana Spain
Pascal Dournaud relative to M. Galbiati Italy M. Galbiati's profile →
Citations per field
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M. Galbiati · 1×
Citations per year

Countries citing papers authored by Pascal Dournaud

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Dournaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013296
2
The neurobiology of somatostatin.
1994249
3 2001215
4 2018188
5 1996153
6 1998112
7 199882
8 200982
9 200874
10 200273
11 199569
12 201150
13 200050
14 200049
15 199448
16 200548
17 200147
18 199443
19 200742
20 200736

About Pascal Dournaud

Pascal Dournaud is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Neuroendocrine Tumor Research Advances (17 papers), Pituitary Gland Disorders and Treatments (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Cellular transport and secretion (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Neuropeptides and Animal Physiology (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (892 citations), Developmental Neuroscience (133 citations), Endocrine and Autonomic Systems (161 citations), Neurology (197 citations) and Endocrinology, Diabetes and Metabolism (344 citations). Pascal Dournaud has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Zsolt Csaba, Jacques Epelbaum, Cécile Viollet, Pierre Gressèns, Mariann Fodor, Stéphane Peineau, Gloria Shaffer Tannenbaum, Alain Beaudet, Agnes Schönbrunn and Zuner A. Bortolotto. Their work appears in journals such as Epilepsia, Journal of Neuroscience, European Journal of Neuroscience, The Journal of Comparative Neurology and Endocrinology.

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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