Jérôme Torrisani

78 total papers · 2.1k total citations
40 papers, 1.5k citations indexed

About

Jérôme Torrisani is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jérôme Torrisani has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 17 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Jérôme Torrisani's work include Pancreatic and Hepatic Oncology Research (14 papers), Epigenetics and DNA Methylation (8 papers) and MicroRNA in disease regulation (8 papers). Jérôme Torrisani is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Epigenetics and DNA Methylation (8 papers) and MicroRNA in disease regulation (8 papers). Jérôme Torrisani collaborates with scholars based in France, Canada and Sweden. Jérôme Torrisani's co-authors include Pierre Cordelier, Louis Buscail, Yannick Delpu, Barbara Bournet, Naı̈ma Hanoun, Yong‐Yeon Cho, Flavie Sicard, Alexander Unterberger, Moshe Szyf and Muriel Darnaudéry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Jérôme Torrisani

40 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Jérôme Torrisani 1.0k 546 377 150 136 40 1.5k
Michele C. Hayward 684 0.7× 398 0.7× 395 1.0× 109 0.7× 116 0.9× 45 1.7k
Ya‐Wen Lin 1.7k 1.7× 621 1.1× 335 0.9× 212 1.4× 319 2.3× 77 2.4k
Annette Scheid 870 0.9× 821 1.5× 163 0.4× 311 2.1× 103 0.8× 26 2.4k
Kelly L. Bolton 388 0.4× 353 0.6× 531 1.4× 298 2.0× 55 0.4× 70 1.7k
Allen L. Horwitz 784 0.8× 216 0.4× 117 0.3× 251 1.7× 136 1.0× 52 2.2k
Harriet E. Gee 1.2k 1.2× 1.2k 2.2× 275 0.7× 48 0.3× 149 1.1× 46 2.1k
Jennifer A. Locke 487 0.5× 533 1.0× 185 0.5× 212 1.4× 77 0.6× 66 1.8k
Marieke de Vries 538 0.5× 310 0.6× 98 0.3× 164 1.1× 171 1.3× 56 1.4k
Thomas Cerny 566 0.6× 230 0.4× 919 2.4× 63 0.4× 168 1.2× 54 2.1k
Susan L. Woods 511 0.5× 309 0.6× 504 1.3× 42 0.3× 70 0.5× 55 1.6k

Countries citing papers authored by Jérôme Torrisani

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Torrisani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Torrisani

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