Nicolas Aubert

501 citations
20 papers · 422 · h-index 10

Impact in

Papers in

Nicolas Aubert

20 papers receiving 417 citations

Peers

Nicolas Aubert
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 288
  • Developmental Neuroscience 37
  • Reproductive Medicine 59
  • Endocrine and Autonomic Systems 25
  • Molecular Biology 235
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Karen F. Greif United States
Viktória Dénes Hungary
Gabriella Cagnoni Italy
Kirti Chaturvedi United States
Jean Van Rampelbergh Belgium
Valérie Turquier France
C.J.C. Boersma Netherlands
Johnny Cnudde Belgium
Paven K. Aujla United States
Filomena D’Amato Italy
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Citations per field
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Karen F. Greif · 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
#Work
1 200490
2 200563
3 200945
4 200636
5 200732
6 200828
7 200526
8 202124
9 200816
10 200811
11 20069
12 20068
13
Consequences of labetalol administration on myocardial beta adrenergic receptors in the brain dead pig.
20007
14 20076
15 20096
16 20245
17 20223
18 20193
19 20202
20 20052

About Nicolas Aubert

Nicolas Aubert is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Reproductive Medicine, Immunology and Endocrine and Autonomic Systems, having authored 20 papers that have together received 422 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), Neurogenesis and neuroplasticity mechanisms (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (288 citations), Developmental Neuroscience (37 citations), Reproductive Medicine (59 citations), Endocrine and Autonomic Systems (25 citations) and Molecular Biology (235 citations). Nicolas Aubert has collaborated with scholars based in France, Canada and Spain. Frequent co-authors include Bruno J. Gonzalez, Hubert Vaudry, David Vaudry, Anthony Falluel‐Morel, Alain Fournier, Magali Basille, Marc Fontaine, Gilles Marodon, Ludovic Galas and Magalie Bénard. Their work appears in journals such as Journal of Neurochemistry, Cancers, Neuroscience, Journal of Neuroendocrinology and Immunologic Research.

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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