Linda Payet

11 total papers · 648 total citations
9 papers, 542 citations indexed

About

Linda Payet is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Linda Payet has authored 9 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomaterials and 3 papers in Biomedical Engineering. Recurrent topics in Linda Payet's work include Nanocomposite Films for Food Packaging (3 papers), Nanopore and Nanochannel Transport Studies (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). Linda Payet is often cited by papers focused on Nanocomposite Films for Food Packaging (3 papers), Nanopore and Nanochannel Transport Studies (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). Linda Payet collaborates with scholars based in France, United Kingdom and United States. Linda Payet's co-authors include Eugene M. Terentjev, J Huppert, Jérôme Mathé, Han Min Wong, Loïc Auvray, Marlène Martinho, Juan Pelta, Manuela Pastoriza‐Gallego, Oliver Stegle and Jean‐Michel Betton and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Biochemistry.

In The Last Decade

Linda Payet

9 papers receiving 540 citations

Author Peers

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

Author Last Decade Papers Cites
Linda Payet 248 232 89 82 61 9 542
Fabrice Avaltroni 116 0.5× 113 0.5× 49 0.6× 100 1.2× 143 2.3× 11 592
J. L. Gornall 134 0.5× 369 1.6× 61 0.7× 52 0.6× 63 1.0× 12 579
Malcolm T. Connah 194 0.8× 98 0.4× 37 0.4× 127 1.5× 32 0.5× 10 516
Dragomir N. Ganchev 207 0.8× 95 0.4× 42 0.5× 130 1.6× 37 0.6× 10 451
Myo T. Tyn 241 1.0× 316 1.4× 26 0.3× 61 0.7× 26 0.4× 6 611
Cécile Goubault 96 0.4× 402 1.7× 88 1.0× 196 2.4× 40 0.7× 9 611
M. J. Wilkins 108 0.4× 125 0.5× 62 0.7× 102 1.2× 36 0.6× 21 460
Jason D. Feick 106 0.4× 159 0.7× 52 0.6× 144 1.8× 28 0.5× 9 485
Steven Blake 321 1.3× 229 1.0× 54 0.6× 81 1.0× 18 0.3× 15 556
Byoung-jin Jeon 305 1.2× 124 0.5× 30 0.3× 57 0.7× 13 0.2× 10 448

Countries citing papers authored by Linda Payet

Since Specialization
Citations

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

Fields of papers citing papers by Linda Payet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Payet

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