Bernard Francès

2.1k citations
55 papers · 1.7k indexed · h-index 24
Topics
Neuropeptides and Animal Physiology (23 papers)Receptor Mechanisms and Signaling (19 papers)Neuroscience and Neuropharmacology Research (13 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBrain Research
Partner nations
FranceIndiaUnited States

In The Last Decade

Bernard Francès

54 papers receiving 1.7k citations

Peers

Bernard Francès
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 954
  • Molecular Biology 728
  • Physiology 478
  • Cognitive Neuroscience 288
  • Pharmacology 148
Replace Pao‐Luh Tao with:
Pao‐Luh Tao Taiwan
Sanzio Candeletti Italy
Jean Rossier France
Juan Carlos G. Marvizón United States
Garth T. Whiteside United States
H. Hällman Sweden
Geoffrey N. Woodruff United Kingdom
Jing‐Gen Liu China
Matthew D. Troyer United States
Bernard Francès relative to Pao‐Luh Tao Taiwan Pao‐Luh Tao's profile →
Citations per field
00.5×3.0×
Pao‐Luh Tao · 1×
Citations per year

Countries citing papers authored by Bernard Francès

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Francès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Francès

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Francès. A scholar is included among the top collaborators of Bernard Francès 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 Bernard Francès. Bernard Francès 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 2
2 1
3 1
4
Postoperative Delirium is a Risk Factor of Poor Evolution Three Years After Cardiac Surgery: An Observational Cohort Study
0
5 13
6 13
7 24
8 30
9 35
10 18
11 39
12 48
13 12
14 25
15 29
16 3
17 43
18 9
19 4
20 22

About Bernard Francès

Bernard Francès is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (19 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (954 citations), Developmental Neuroscience (108 citations) and Behavioral Neuroscience (87 citations). Bernard Francès has collaborated with scholars based in France, India and United States. Frequent co-authors include Hélène Halley, Jean‐Michel Lassalle, Stéphanie Daumas, Jean‐Marie Zajac, J. Cros, Robert Gout, Lionel Moulédous, Bernard Monsarrat, Jean‐Claude Meunier and Johnatan Ceccom. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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