Hervé Chabanon

16 total papers · 965 total citations
15 papers, 796 citations indexed

About

Hervé Chabanon is a scholar working on Molecular Biology, Biochemistry and Nutrition and Dietetics. According to data from OpenAlex, Hervé Chabanon has authored 15 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biochemistry and 3 papers in Nutrition and Dietetics. Recurrent topics in Hervé Chabanon's work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers) and Polyamine Metabolism and Applications (5 papers). Hervé Chabanon is often cited by papers focused on RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers) and Polyamine Metabolism and Applications (5 papers). Hervé Chabanon collaborates with scholars based in United Kingdom, France and Sweden. Hervé Chabanon's co-authors include Hélène L. Kammoun, Serge Luquet, Tatsuro Koike, Pascal Ferré, Chr̀istophe Magnan, Fabienne Foufelle, Isabelle Hainault, John E. Hesketh, David Nury and Patrick Brachet and has published in prestigious journals such as Journal of Clinical Investigation, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Hervé Chabanon

15 papers receiving 792 citations

Hit Papers

GRP78 expression inhibits... 2009 2026 2014 2020 2009 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Hervé Chabanon 366 358 324 207 114 15 796
Kyle T. Pfaffenbach 473 1.3× 313 0.9× 307 0.9× 161 0.8× 39 0.3× 12 785
Yin He 386 1.1× 305 0.9× 297 0.9× 166 0.8× 43 0.4× 12 817
Rachel E. Carlisle 323 0.9× 188 0.5× 277 0.9× 105 0.5× 73 0.6× 16 803
David J. Pedersen 173 0.5× 244 0.7× 277 0.9× 154 0.7× 105 0.9× 14 790
Meihui Pan 189 0.5× 267 0.7× 294 0.9× 227 1.1× 199 1.7× 15 787
Claudia Anzivino 109 0.3× 380 1.1× 278 0.9× 200 1.0× 100 0.9× 18 847
Masahiro Hatazaki 391 1.1× 358 1.0× 275 0.8× 269 1.3× 34 0.3× 14 876
Françoise Lasnier 235 0.6× 359 1.0× 436 1.3× 117 0.6× 245 2.1× 15 962
Y. Le Marchand 155 0.4× 130 0.4× 282 0.9× 201 1.0× 104 0.9× 17 783
Yin-xiong Li 192 0.5× 757 2.1× 253 0.8× 121 0.6× 160 1.4× 14 965

Countries citing papers authored by Hervé Chabanon

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Chabanon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Chabanon

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Chabanon. A scholar is included among the top collaborators of Hervé Chabanon 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 Hervé Chabanon. Hervé Chabanon 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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