Laurent Journot

8.0k citations
69 papers · 5.9k indexed · 2 hit papers · h-index 37
Topics
Receptor Mechanisms and Signaling (21 papers)Neuropeptides and Animal Physiology (18 papers)Genetic Syndromes and Imprinting (16 papers)

In The Last Decade

Laurent Journot

68 papers receiving 5.8k citations

Hit Papers

Differential signal transduction by five splice variants ...1993202620042015199319982505007501000

Peers

Laurent Journot
Comparison fields: 5 of 123
  • Molecular Biology 3.9k
  • Cellular and Molecular Neuroscience 2.7k
  • Genetics 1.2k
  • Surgery 688
  • Reproductive Medicine 654
Replace Károly Nikolics with:
Károly Nikolics United States
Irm Hermans‐Borgmeyer Germany
Paul C. Orban Canada
Yayoi Ikeda Japan
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James Douglass United States
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Kuniya Abe Japan
Kelly E. Mayo United States
Laurent Journot relative to Károly Nikolics United States Károly Nikolics's profile →
Citations per field
00.5×9.6×
Károly Nikolics · 1×
Citations per year

Countries citing papers authored by Laurent Journot

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Journot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Journot

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Journot. A scholar is included among the top collaborators of Laurent Journot 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 Laurent Journot. Laurent Journot 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 4
2 28
3 8
4 14
5 248
6 59
7 60
8 23
9 24
10 26
11 54
12 72
13 45
14 87
15 36
16 9
17 11
18 46
19 15
20 7

About Laurent Journot

Laurent Journot is a scholar working on Cellular and Molecular Neuroscience, Genetics and Physiology, having authored 69 papers that have together received 5.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Neuropeptides and Animal Physiology (18 papers) and Genetic Syndromes and Imprinting (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.7k citations), Reproductive Medicine (654 citations) and Endocrine and Autonomic Systems (384 citations). Laurent Journot has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Joël Bockaert, C. Pantaloni, Christian Waeber, F Holsboer, Martín Villalba, Dietmar Spengler, Annie Varrault, Stephen R. Rawlings, Anne Le Digarcher and Sunil P. Sreedharan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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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