Nicolas Aubert

506 citations
21 papers · 444 · h-index 11

Impact in

Papers in

Nicolas Aubert

21 papers receiving 435 citations

Peers

Nicolas Aubert
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 301
  • Developmental Neuroscience 36
  • Reproductive Medicine 60
  • Endocrine and Autonomic Systems 26
  • Molecular Biology 239
Replace Gabriella Cagnoni with:
Gabriella Cagnoni Italy
Viktória Dénes Hungary
Michael J. Pellegrino United States
Tamotsu Seki Japan
Kirti Chaturvedi United States
Rebecca C. Schreiber United States
Valérie Turquier France
Gisela Olias Germany
Filomena D’Amato Italy
Johnny Cnudde Belgium
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Citations per field
00.5×1.7×
Gabriella Cagnoni · 1×
Citations per year

Countries citing papers authored by Nicolas Aubert

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Aubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200492
2 200565
3 200945
4 200636
5 200735
6 200829
7 202127
8 200526
9 200816
10 200813
11 200611
12 20069
13
Consequences of labetalol administration on myocardial beta adrenergic receptors in the brain dead pig.
20009
14 20077
15 20096
16 20245
17 20224
18 20193
19 20203
20 20052

About Nicolas Aubert

Nicolas Aubert is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Developmental Neuroscience, Endocrine and Autonomic Systems and Molecular Biology, having authored 21 papers that have together received 444 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Hypothalamic control of reproductive hormones (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Immune Cell Function and Interaction (3 papers), Lipid Membrane Structure and Behavior (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (301 citations), Developmental Neuroscience (36 citations), Reproductive Medicine (60 citations), Endocrine and Autonomic Systems (26 citations) and Molecular Biology (239 citations). Nicolas Aubert has collaborated with scholars based in France, Canada and Spain. Frequent co-authors include Hubert Vaudry, Bruno José Gonzalez, David Vaudry, Alain Fournier, Anthony Falluel‐Morel, Magali Basille, Marc Fontaine, Ludovic Galas, Magalie Bénard and Gilles Marodon. Their work appears in journals such as Journal of Neurochemistry, Cancers, Journal of Molecular Neuroscience, Cancer Cell and Regulatory Peptides.

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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