Christine Payré

52 total papers · 1.5k total citations
32 papers, 1.1k citations indexed

About

Christine Payré is a scholar working on Molecular Biology, Nephrology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Christine Payré has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Nephrology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Christine Payré's work include Renal Diseases and Glomerulopathies (9 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Christine Payré is often cited by papers focused on Renal Diseases and Glomerulopathies (9 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Christine Payré collaborates with scholars based in France, United States and Netherlands. Christine Payré's co-authors include Gérard Lambeau, Barbara Seitz‐Polski, Vincent Esnault, Arnaud Augert, David Bernard, Yvan de Launoit, Jesús Gil, Guillaume Dolla, Vesna Brglez and Michael H. Gelb and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The FASEB Journal.

In The Last Decade

Christine Payré

32 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Christine Payré 445 407 227 193 193 32 1.1k
Striker Ge 487 1.1× 400 1.0× 155 0.7× 79 0.4× 217 1.1× 33 1.3k
Abdalla Rifai 581 1.3× 425 1.0× 137 0.6× 119 0.6× 302 1.6× 31 1.3k
Daniel Terreros 190 0.4× 439 1.1× 200 0.9× 38 0.2× 204 1.1× 38 1.3k
Benditt Ep 148 0.3× 379 0.9× 163 0.7× 62 0.3× 194 1.0× 33 1.1k
Carlos E. Irarrázabal 120 0.3× 485 1.2× 98 0.4× 93 0.5× 113 0.6× 45 1.1k
Michael Af 547 1.2× 318 0.8× 160 0.7× 84 0.4× 192 1.0× 34 1.1k
R Coda 106 0.2× 335 0.8× 122 0.5× 82 0.4× 316 1.6× 44 1.2k
P Mahieu 262 0.6× 348 0.9× 132 0.6× 61 0.3× 264 1.4× 39 1.1k
Yan Li 215 0.5× 949 2.3× 135 0.6× 75 0.4× 165 0.9× 46 1.3k
Wei Mu 327 0.7× 681 1.7× 95 0.4× 72 0.4× 198 1.0× 31 1.3k

Countries citing papers authored by Christine Payré

Since Specialization
Citations

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

Fields of papers citing papers by Christine Payré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Payré

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