Daniel Maurel

65 papers receiving 879 citations

Peers

Daniel Maurel
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 222
  • Behavioral Neuroscience 85
  • Reproductive Medicine 104
  • Ecology 173
  • Biological Psychiatry 9
Replace Barbara K. Evans with:
Barbara K. Evans Australia
James N. Fryer Canada
Ji-Zeng Du China
Michel Saboureau France
Alexander L. Beckman United States
Barbara Tzschentke Germany
Roger A. Hoffman United States
Donal C. Skinner United States
Jacques Roffi France
August W. Epple United States
Daniel Maurel relative to Barbara K. Evans Australia Barbara K. Evans's profile →
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Citations per year

Countries citing papers authored by Daniel Maurel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maurel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200155
2 200046
3 198645
4 198043
5 199642
6 200241
7 198137
8 198134
9 199729
10 199827
11 200426
12 199325
13 199624
14 197923
15 198022
16 198722
17 199620
18 199820
19 199516
20 200116

About Daniel Maurel

Daniel Maurel is a scholar working on Endocrine and Autonomic Systems, Reproductive Medicine, Behavioral Neuroscience, Ecology and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 973 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (19 papers), Hypothalamic control of reproductive hormones (10 papers), Cholesterol and Lipid Metabolism (8 papers), Spaceflight effects on biology (7 papers), Physiological and biochemical adaptations (7 papers), Stress Responses and Cortisol (7 papers), Sperm and Testicular Function (6 papers) and Lipid metabolism and disorders (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (222 citations), Behavioral Neuroscience (85 citations), Reproductive Medicine (104 citations), Ecology (173 citations) and Biological Psychiatry (9 citations). Daniel Maurel has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include J. Boissin, Olivier Bosler, Dominique Ciocca, Mourad Mekaouche, Philippe Siaud, Line Boissin‐Agasse, P M Laplaud, GUY IXART, Bruno Sicard and IVAN ASSENMACHER. Their work appears in journals such as General and Comparative Endocrinology, Canadian Journal of Zoology, Journal of Lipid Research, Brain Research and Reproduction.

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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