Maïté S. Guignard

27 total papers · 941 total citations
19 papers, 618 citations indexed

About

Maïté S. Guignard is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Maïté S. Guignard has authored 19 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Molecular Biology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Maïté S. Guignard's work include Chromosomal and Genetic Variations (8 papers), Genetic diversity and population structure (5 papers) and Genomics and Phylogenetic Studies (5 papers). Maïté S. Guignard is often cited by papers focused on Chromosomal and Genetic Variations (8 papers), Genetic diversity and population structure (5 papers) and Genomics and Phylogenetic Studies (5 papers). Maïté S. Guignard collaborates with scholars based in United Kingdom, Australia and United States. Maïté S. Guignard's co-authors include Andrew R. Leitch, Ilia J. Leitch, Mark Trimmer, Pamela S. Soltis, Richard A. Nichols, Steven Dodsworth, Jaume Pellicer, Robert J. Knell, A. J. Macdonald and Guy Woodward and has published in prestigious journals such as New Phytologist, Trends in Plant Science and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Maïté S. Guignard

19 papers receiving 607 citations

Author Peers

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

Author Last Decade Papers Cites
Maïté S. Guignard 306 222 198 124 81 19 618
Michael A. Bollman 368 1.2× 256 1.2× 82 0.4× 86 0.7× 101 1.2× 26 622
Susannah Bird 202 0.7× 214 1.0× 105 0.5× 123 1.0× 144 1.8× 17 620
Emanuela Samaritani 177 0.6× 223 1.0× 192 1.0× 42 0.3× 167 2.1× 10 541
David J. Susko 363 1.2× 91 0.4× 254 1.3× 63 0.5× 76 0.9× 28 579
Krystyna M. Urbanska 276 0.9× 95 0.4× 271 1.4× 136 1.1× 114 1.4× 15 557
Kani Işık 284 0.9× 155 0.7× 138 0.7× 90 0.7× 123 1.5× 30 652
J. P. Grace 278 0.9× 109 0.5× 120 0.6× 77 0.6× 71 0.9× 18 556
Ruth Jaén‐Molina 287 0.9× 179 0.8× 274 1.4× 132 1.1× 73 0.9× 25 589
David Dent 263 0.9× 122 0.5× 102 0.5× 56 0.5× 64 0.8× 18 542
Fei He 437 1.4× 324 1.5× 73 0.4× 89 0.7× 27 0.3× 24 646

Countries citing papers authored by Maïté S. Guignard

Since Specialization
Citations

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

Fields of papers citing papers by Maïté S. Guignard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maïté S. Guignard. 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 Maïté S. Guignard. The network helps show where Maïté S. Guignard may publish in the future.

Co-authorship network of co-authors of Maïté S. Guignard

This figure shows the co-authorship network connecting the top 25 collaborators of Maïté S. Guignard. A scholar is included among the top collaborators of Maïté S. Guignard 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 Maïté S. Guignard. Maïté S. Guignard 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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