Marco Geymonat

41 total papers · 1.2k total citations
28 papers, 873 citations indexed

About

Marco Geymonat is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Marco Geymonat has authored 28 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Cell Biology and 5 papers in Plant Science. Recurrent topics in Marco Geymonat's work include Microtubule and mitosis dynamics (17 papers), Fungal and yeast genetics research (14 papers) and Genomics and Chromatin Dynamics (6 papers). Marco Geymonat is often cited by papers focused on Microtubule and mitosis dynamics (17 papers), Fungal and yeast genetics research (14 papers) and Genomics and Chromatin Dynamics (6 papers). Marco Geymonat collaborates with scholars based in United Kingdom, Italy and France. Marco Geymonat's co-authors include Steven G. Sedgwick, Leland H. Johnston, Ad Spanos, Sanne Jensen, Anthony L. Johnson, P.A. Walker, Marisa Segal, Geoffroy de Bettignies, Hervé Garreau and Zoulfia Darieva and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marco Geymonat

28 papers receiving 851 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Geymonat 821 515 191 34 30 28 873
Juan F. Abenza 651 0.8× 627 1.2× 113 0.6× 30 0.9× 24 0.8× 18 863
Hanspeter Niederstrasser 604 0.7× 519 1.0× 85 0.4× 38 1.1× 41 1.4× 18 922
Javier Valdez Taubas 768 0.9× 472 0.9× 121 0.6× 69 2.0× 38 1.3× 24 977
Marie‐Noëlle Simon 787 1.0× 420 0.8× 100 0.5× 50 1.5× 40 1.3× 25 993
Béatrice Vallée 682 0.8× 323 0.6× 122 0.6× 30 0.9× 28 0.9× 30 900
Mara C. Duncan 682 0.8× 533 1.0× 71 0.4× 19 0.6× 33 1.1× 28 882
Manuel Mendoza 788 1.0× 592 1.1× 220 1.2× 84 2.5× 43 1.4× 27 930
Hisashi Tatebe 868 1.1× 415 0.8× 158 0.8× 40 1.2× 34 1.1× 23 983
Yasuyuki Suda 679 0.8× 449 0.9× 162 0.8× 22 0.6× 23 0.8× 49 912
Jun‐Song Chen 866 1.1× 640 1.2× 114 0.6× 46 1.4× 31 1.0× 49 995

Countries citing papers authored by Marco Geymonat

Since Specialization
Citations

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

Fields of papers citing papers by Marco Geymonat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Geymonat

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