Isabelle Guillas

45 total papers · 1.7k total citations
28 papers, 1.2k citations indexed

About

Isabelle Guillas is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Isabelle Guillas has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Plant Science and 5 papers in Surgery. Recurrent topics in Isabelle Guillas's work include Sphingolipid Metabolism and Signaling (7 papers), Photosynthetic Processes and Mechanisms (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Isabelle Guillas is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Photosynthetic Processes and Mechanisms (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Isabelle Guillas collaborates with scholars based in France, Switzerland and United States. Isabelle Guillas's co-authors include Anatol Kontush, Fernando Brites, Maximiliano Martín, Emmanuel Baudouin, Alain Zachowski, Nathalie Rézé, Juliette Puyaubert, Christelle Dutilleul, Andreas Conzelmann and Carole Roubaty and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

Isabelle Guillas

27 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Isabelle Guillas 743 512 232 146 119 28 1.2k
Frixos C. Charalampous 527 0.7× 321 0.6× 168 0.7× 124 0.8× 84 0.7× 45 1.1k
Esther Vogt 550 0.7× 554 1.1× 60 0.3× 85 0.6× 94 0.8× 30 1.4k
Russell K. Yamazaki 1.0k 1.4× 375 0.7× 99 0.4× 217 1.5× 224 1.9× 35 1.4k
Peng Xue 834 1.1× 421 0.8× 192 0.8× 97 0.7× 156 1.3× 43 1.5k
Jie Qu 726 1.0× 174 0.3× 104 0.4× 83 0.6× 166 1.4× 43 1.4k
Zhijie Liu 872 1.2× 184 0.4× 134 0.6× 83 0.6× 62 0.5× 45 1.4k
Frank Eisenberg 484 0.7× 317 0.6× 218 0.9× 118 0.8× 282 2.4× 42 1.4k
Lily C. Hsu 792 1.1× 114 0.2× 107 0.5× 106 0.7× 134 1.1× 24 1.4k
Alicia Leikin‐Frenkel 563 0.8× 360 0.7× 48 0.2× 171 1.2× 125 1.1× 44 1.2k
Takako Nishikawa 605 0.8× 103 0.2× 247 1.1× 77 0.5× 90 0.8× 30 1.0k

Countries citing papers authored by Isabelle Guillas

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Guillas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Guillas

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