Régis C. Lambert

2.6k citations
39 papers · 1.9k indexed · h-index 26

Régis C. Lambert

39 papers receiving 1.9k citations

Peers

Régis C. Lambert
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 749
  • Cognitive Neuroscience 694
  • Social Psychology 317
  • Endocrine and Autonomic Systems 304
Replace Marat Minlebaev with:
Marat Minlebaev France
Davor Stanić Australia
Scott F. Owen United States
Ayumu Inutsuka Japan
Scott H. Chandler United States
Jun Chul Kim Canada
Silvia Pagliardini Canada
Georgia M. Alexander United States
John Yeomans Canada
Cátia Feliciano Portugal
Régis C. Lambert relative to Marat Minlebaev France Marat Minlebaev's profile →
Citations per field
00.5×1.5×2.3×
Marat Minlebaev · 1×
Citations per year

Countries citing papers authored by Régis C. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Régis C. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Régis C. Lambert. 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 Régis C. Lambert. The network helps show where Régis C. Lambert may publish in the future.

Co-authorship network of co-authors of Régis C. Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Régis C. Lambert. A scholar is included among the top collaborators of Régis C. Lambert 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 Régis C. Lambert. Régis C. Lambert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 78
2 82
3 48
4 5
5 17
6 5
7 14
8 29
9 16
10 58
11 70
12 25
13 59
14 36
15 72
16 68
17 25
18 51
19 165
20 105

About Régis C. Lambert

Régis C. Lambert is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Ion channel regulation and function (16 papers) and Neural dynamics and brain function (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Endocrine and Autonomic Systems (304 citations) and Cognitive Neuroscience (694 citations). Régis C. Lambert has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Nathalie Leresche, Vincenzo Crunelli, F. Moos, François David, Anne Feltz, Adam C. Errington, Victor N. Uebele, John J. Renger, P Richard and Govindan Dayanithi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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