Nicolas Chiaruttini

64 total papers · 2.0k total citations
21 papers, 1.3k citations indexed

About

Nicolas Chiaruttini is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Nicolas Chiaruttini has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Nicolas Chiaruttini's work include Lipid Membrane Structure and Behavior (8 papers), Cellular transport and secretion (6 papers) and Cell Image Analysis Techniques (4 papers). Nicolas Chiaruttini is often cited by papers focused on Lipid Membrane Structure and Behavior (8 papers), Cellular transport and secretion (6 papers) and Cell Image Analysis Techniques (4 papers). Nicolas Chiaruttini collaborates with scholars based in Switzerland, France and United States. Nicolas Chiaruttini's co-authors include Aurélien Roux, Lorena Redondo‐Morata, Simon Scheuring, Adai Colom, Martin Lenz, Frédéric Humbert, Robbie Loewith, Isabelle Riezman, Howard Riezman and Doris Berchtold and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nicolas Chiaruttini

21 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Nicolas Chiaruttini 913 669 172 129 108 21 1.3k
Eva M. Schmid 1.3k 1.4× 795 1.2× 180 1.0× 116 0.9× 166 1.5× 20 1.7k
Vincent Mercier 850 0.9× 419 0.6× 128 0.7× 105 0.8× 146 1.4× 32 1.4k
Wanda Kukulski 1.1k 1.2× 536 0.8× 68 0.4× 160 1.2× 114 1.1× 32 1.6k
Johannes Schöneberg 1.2k 1.3× 664 1.0× 154 0.9× 99 0.8× 84 0.8× 33 1.7k
Thomas D. Pollard 786 0.9× 983 1.5× 81 0.5× 179 1.4× 149 1.4× 16 1.6k
Christopher P. Toret 1.2k 1.4× 1.3k 2.0× 111 0.6× 94 0.7× 53 0.5× 18 1.8k
Carsten Mim 866 0.9× 511 0.8× 126 0.7× 108 0.8× 47 0.4× 22 1.2k
Marisan Mejillano 692 0.8× 882 1.3× 117 0.7× 76 0.6× 74 0.7× 14 1.5k
Lindsay B. Case 1.1k 1.2× 785 1.2× 93 0.5× 155 1.2× 212 2.0× 13 1.8k
Marcus Braun 927 1.0× 852 1.3× 210 1.2× 105 0.8× 61 0.6× 51 1.8k

Countries citing papers authored by Nicolas Chiaruttini

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Chiaruttini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Chiaruttini

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