A. Mauborgne

3.2k citations
63 papers · 2.7k indexed · h-index 29

Impact in

Papers in

A. Mauborgne

63 papers receiving 2.7k citations

Peers

A. Mauborgne
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 1.7k
  • Physiology 1.6k
  • Behavioral Neuroscience 121
  • Pharmacology 260
  • Neurology 238
Replace Michel Pohl with:
Michel Pohl France
Han‐Rong Weng United States
Catherine Abbadie United States
Xiao‐Ying Hua United States
Evan M. Sloane United States
Xiao‐Jun Xu Sweden
Maria D. Rutkowski United States
Marc R. Suter Switzerland
Wenrui Xie United States
A. Mauborgne relative to Michel Pohl France Michel Pohl's profile →
Citations per field
00.5×1.5×
Michel Pohl · 1×
Citations per year

Countries citing papers authored by A. Mauborgne

Since Specialization
Citations

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

Fields of papers citing papers by A. Mauborgne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201810
2 201714
3 201558
4 2011169
5 20092
6 2008218
7 2008105
8 200792
9 200726
10 200566
11 200220
12 200011
13 199815
14 199743
15 199223
16 199123
17 198970
18 198824
19 198726
20
Secrétion et synthèse de la prolactine par les adénomes somatotropes humains en culture organotypique. Effet de la somatostatine (SRIF).
19771

About A. Mauborgne

A. Mauborgne is a scholar working on Cellular and Molecular Neuroscience, Physiology, Behavioral Neuroscience, Neurology and Pharmacology, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (43 papers), Neuropeptides and Animal Physiology (43 papers), Anesthesia and Pain Management (11 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Nerve injury and regeneration (9 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Physiology (1.6k citations), Behavioral Neuroscience (121 citations), Pharmacology (260 citations) and Neurology (238 citations). A. Mauborgne has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Michel Pohl, M. Hamon, S. Bourgoin, F. Cesselin, Elisa Dominguez, J.J. Benoliel, Blandine Pommier, Cyril Rivat, F. Cesselin and François Cesselin. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Neuropeptides, Neuroscience and Neuropharmacology.

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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