Martine Sautel

673 citations
19 papers · 567 indexed · h-index 11
Topics
Receptor Mechanisms and Signaling (12 papers)Neuropeptides and Animal Physiology (4 papers)Chemical Synthesis and Analysis (2 papers)

In The Last Decade

Martine Sautel

19 papers receiving 541 citations

Peers

Martine Sautel
Comparison fields: 5 of 70
  • Molecular Biology 390
  • Cellular and Molecular Neuroscience 324
  • Physiology 50
  • Immunology 44
  • Cardiology and Cardiovascular Medicine 41
Replace Jenny Stables with:
Jenny Stables United Kingdom
Luciana Gonçalves de Oliveira Brazil
Doreen Robinson United States
Georges C. Frech United States
R. Laufer Italy
Monica Averna Italy
Il Jin Bak United States
Yonjung Kim South Korea
Jean-Yves Couraud France
Roger B. Moreton United Kingdom
Martine Sautel relative to Jenny Stables United Kingdom Jenny Stables's profile →
Citations per field
00.5×
Jenny Stables · 1×
Citations per year

Countries citing papers authored by Martine Sautel

Since Specialization
Citations

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

Fields of papers citing papers by Martine Sautel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Sautel

This figure shows the co-authorship network connecting the top 25 collaborators of Martine Sautel. A scholar is included among the top collaborators of Martine Sautel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martine Sautel. Martine Sautel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 27
2 60
3 36
4 55
5 16
6 181
7 82
8 40
9 6
10 2
11 5
12 1
13 2
14 10
15 6
16 10
17 12
18
[Central and peripheral catecholamines in the genetically hypertensive mouse].
2
19 14

About Martine Sautel

Martine Sautel is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Physiology, having authored 19 papers that have together received 567 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (4 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (324 citations), Endocrine and Autonomic Systems (41 citations) and Molecular Biology (390 citations). Martine Sautel has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Graeme Milligan, Melanie Lee, Jenny Stables, Neil J. Fraser, Andrew R. Green, Fiona H. Marshall, Roland Salesse, Raquel Martínez, Philippe Walker and Édith Pajot-Augy. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Brain 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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