J.L. Rivière

49 total papers · 632 total citations
31 papers, 529 citations indexed

About

J.L. Rivière is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis and Insect Science. According to data from OpenAlex, J.L. Rivière has authored 31 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 12 papers in Health, Toxicology and Mutagenesis and 7 papers in Insect Science. Recurrent topics in J.L. Rivière's work include Pharmacogenetics and Drug Metabolism (15 papers), Environmental Toxicology and Ecotoxicology (8 papers) and Glutathione Transferases and Polymorphisms (5 papers). J.L. Rivière is often cited by papers focused on Pharmacogenetics and Drug Metabolism (15 papers), Environmental Toxicology and Ecotoxicology (8 papers) and Glutathione Transferases and Polymorphisms (5 papers). J.L. Rivière collaborates with scholars based in France, Morocco and Tunisia. J.L. Rivière's co-authors include Gilles Monod, Alain Devaux, Jean‐Claude Lhuguenot, Jocelyne Bach, Jean‐François Narbonne, Laurence Dahbi, Claudie Roy, Gilles Grolleau, Philippe Berny and Thierry Buronfosse and has published in prestigious journals such as The Science of The Total Environment, Biochemical and Biophysical Research Communications and Chemosphere.

In The Last Decade

J.L. Rivière

29 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
J.L. Rivière	303	119	107	90	90	31	529
James D. Yarbrough	304 1.0×	77 0.6×	87 0.8×	117 1.3×	98 1.1×	60	597
Inder P. Kapoor	303 1.0×	162 1.4×	64 0.6×	79 0.9×	70 0.8×	21	565
L.S. Lautz	163 0.5×	118 1.0×	55 0.5×	63 0.7×	70 0.8×	29	471
Naohiko Isobe	104 0.3×	85 0.7×	84 0.8×	137 1.5×	147 1.6×	54	485
Tsutomu Nakatsugawa	143 0.5×	125 1.1×	121 1.1×	118 1.3×	239 2.7×	31	538
Mohammad Mushtaq	116 0.4×	55 0.5×	75 0.7×	82 0.9×	81 0.9×	36	500
Sathanandam S. Anand	211 0.7×	96 0.8×	108 1.0×	33 0.4×	364 4.0×	17	550
Loretta C. Gaughan	168 0.6×	125 1.1×	58 0.5×	89 1.0×	386 4.3×	15	561
Ronald L. Baron	149 0.5×	114 1.0×	32 0.3×	92 1.0×	329 3.7×	33	583
Edouard Akono Nantia	177 0.6×	64 0.5×	38 0.4×	82 0.9×	173 1.9×	39	550

Countries citing papers authored by J.L. Rivière

Since Specialization

Citations

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

Fields of papers citing papers by J.L. Rivière

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.L. Rivière. 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 J.L. Rivière. The network helps show where J.L. Rivière may publish in the future.

Co-authorship network of co-authors of J.L. Rivière

This figure shows the co-authorship network connecting the top 25 collaborators of J.L. Rivière. A scholar is included among the top collaborators of J.L. Rivière 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 J.L. Rivière. J.L. Rivière 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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