Danièle Thiersé

29 total papers · 1.2k total citations
25 papers, 1.1k citations indexed

About

Danièle Thiersé is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Danièle Thiersé has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Danièle Thiersé's work include Cellular transport and secretion (15 papers), Lipid Membrane Structure and Behavior (8 papers) and Erythrocyte Function and Pathophysiology (4 papers). Danièle Thiersé is often cited by papers focused on Cellular transport and secretion (15 papers), Lipid Membrane Structure and Behavior (8 papers) and Erythrocyte Function and Pathophysiology (4 papers). Danièle Thiersé collaborates with scholars based in France, United States and Germany. Danièle Thiersé's co-authors include Dominique Aunis, M F Bader, Nicolas Vitale, Michael Bäder, B. Rouot, Manfred Gratzl, Gudrun Ahnert‐Hilger, J M Sontag, Marie‐Christine Galas and J. Bernd Helms and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Danièle Thiersé

25 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
Danièle Thiersé 772 516 201 178 115 25 1.1k
Solange Monier 970 1.3× 813 1.6× 158 0.8× 159 0.9× 112 1.0× 21 1.3k
Johnny K. Ngsee 865 1.1× 510 1.0× 236 1.2× 143 0.8× 93 0.8× 35 1.3k
Diego Gravotta 931 1.2× 744 1.4× 116 0.6× 185 1.0× 131 1.1× 27 1.3k
Martijn Gloerich 848 1.1× 465 0.9× 149 0.7× 121 0.7× 126 1.1× 27 1.4k
Ping Huang 1.0k 1.3× 341 0.7× 98 0.5× 215 1.2× 150 1.3× 24 1.3k
Y Nemoto 628 0.8× 411 0.8× 239 1.2× 97 0.5× 77 0.7× 17 1.2k
Ryan Schreiner 842 1.1× 586 1.1× 133 0.7× 204 1.1× 106 0.9× 42 1.4k
Mingyu Gu 639 0.8× 472 0.9× 164 0.8× 137 0.8× 80 0.7× 42 1.1k
Jean M. Wilson 708 0.9× 600 1.2× 166 0.8× 231 1.3× 143 1.2× 41 1.3k
Steve Jean 652 0.8× 460 0.9× 91 0.5× 160 0.9× 60 0.5× 32 1.1k

Countries citing papers authored by Danièle Thiersé

Since Specialization
Citations

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

Fields of papers citing papers by Danièle Thiersé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danièle Thiersé

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