Jean-Philippe Gaudry

11 total papers · 568 total citations
9 papers, 434 citations indexed

About

Jean-Philippe Gaudry is a scholar working on Molecular Biology, Pollution and Plant Science. According to data from OpenAlex, Jean-Philippe Gaudry has authored 9 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pollution and 3 papers in Plant Science. Recurrent topics in Jean-Philippe Gaudry's work include Glycosylation and Glycoproteins Research (4 papers), Pesticide and Herbicide Environmental Studies (4 papers) and Weed Control and Herbicide Applications (3 papers). Jean-Philippe Gaudry is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Pesticide and Herbicide Environmental Studies (4 papers) and Weed Control and Herbicide Applications (3 papers). Jean-Philippe Gaudry collaborates with scholars based in Switzerland, France and United States. Jean-Philippe Gaudry's co-authors include Zoë Johnson, Amanda E. I. Proudfoot, Tracy M. Handel, Andreas J. Kungl, Chad D. Paavola, Elena Geretti, Frédéric Borlat, Elaine K. Lau, Bruno Antonsson and Christophe Losberger and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Biotechnology and Weed Research.

In The Last Decade

Jean-Philippe Gaudry

8 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Jean-Philippe Gaudry 263 136 116 99 79 9 434
Rachel Seidman 197 0.7× 199 1.5× 133 1.1× 47 0.5× 71 0.9× 8 445
I Boulet 252 1.0× 84 0.6× 227 2.0× 52 0.5× 65 0.8× 12 487
Carin Ocklind 305 1.2× 86 0.6× 48 0.4× 97 1.0× 87 1.1× 10 475
Errin Lagow 210 0.8× 50 0.4× 161 1.4× 63 0.6× 64 0.8× 9 399
F Ghani 170 0.6× 96 0.7× 61 0.5× 105 1.1× 89 1.1× 8 397
Peer Stehling 401 1.5× 82 0.6× 107 0.9× 49 0.5× 69 0.9× 9 468
Daniel P. Witt 188 0.7× 152 1.1× 136 1.2× 137 1.4× 20 0.3× 8 457
E A Repasky 191 0.7× 48 0.4× 155 1.3× 108 1.1× 55 0.7× 9 410
Ellen F. Wallace 248 0.9× 44 0.3× 147 1.3× 64 0.6× 123 1.6× 12 475
Polly E. Mattila 316 1.2× 46 0.3× 102 0.9× 102 1.0× 24 0.3× 12 484

Countries citing papers authored by Jean-Philippe Gaudry

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Philippe Gaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Philippe Gaudry. 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 Jean-Philippe Gaudry. The network helps show where Jean-Philippe Gaudry may publish in the future.

Co-authorship network of co-authors of Jean-Philippe Gaudry

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Philippe Gaudry. A scholar is included among the top collaborators of Jean-Philippe Gaudry 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 Jean-Philippe Gaudry. Jean-Philippe Gaudry 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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