François Lasbennes

12 total papers · 904 total citations
11 papers, 755 citations indexed

About

François Lasbennes is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, François Lasbennes has authored 11 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in François Lasbennes's work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Pain Mechanisms and Treatments (3 papers). François Lasbennes is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Pain Mechanisms and Treatments (3 papers). François Lasbennes collaborates with scholars based in France, United States and Switzerland. François Lasbennes's co-authors include Jérôme Badaut, Pierre J. Magistretti, Luca Regli, Marie‐José Freund‐Mercier, Jacques Seylaz, Pierrick Poisbeau, Jean‐Marc Verbavatz, Pascal Darbon, Michel Barrot and Jean‐Luc Rodeau and has published in prestigious journals such as Brain Research, Pain and Journal of Neurochemistry.

In The Last Decade

François Lasbennes

11 papers receiving 742 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
François Lasbennes 351 266 183 110 107 11 755
Jiong Ding 335 1.0× 316 1.2× 310 1.7× 56 0.5× 63 0.6× 23 872
John R. Fawcett 276 0.8× 277 1.0× 105 0.6× 47 0.4× 56 0.5× 13 873
Donovan Tucker 260 0.7× 165 0.6× 248 1.4× 82 0.7× 38 0.4× 13 897
Wendy R. Fredericks 223 0.6× 172 0.6× 157 0.9× 120 1.1× 88 0.8× 20 859
Mei Hu 222 0.6× 211 0.8× 146 0.8× 67 0.6× 170 1.6× 20 826
Mei‐Jie Jou 342 1.0× 126 0.5× 145 0.8× 57 0.5× 56 0.5× 10 818
Amy H. Moore 224 0.6× 116 0.4× 147 0.8× 193 1.8× 56 0.5× 15 835
Gry Fluge Vindedal 398 1.1× 441 1.7× 99 0.5× 140 1.3× 69 0.6× 10 909
Hannah Ennerfelt 253 0.7× 199 0.7× 157 0.9× 154 1.4× 47 0.4× 16 794
Kerstin Raber 277 0.8× 440 1.7× 123 0.7× 145 1.3× 33 0.3× 18 795

Countries citing papers authored by François Lasbennes

Since Specialization
Citations

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

Fields of papers citing papers by François Lasbennes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Lasbennes

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

All Works

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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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