Jérôme Torrisani

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 Cristina Barboza‐Solís 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

Peers

Jérôme Torrisani
Geraldine Thomas United Kingdom
Koen De Geest United States
Christopher B. Miller United States
Alison L. Young Australia
Allen L. Horwitz United States
Thomas Buekers United States
Jérôme Torrisani
Citations per year, relative to Jérôme Torrisani Jérôme Torrisani (= 1×) peers Minoru Isomura

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

20 of 20 papers shown
1.
Béry, Nicolas, Marion Gayral, Lucille Stuani, et al.. (2024). Cytidine deaminase-dependent mitochondrial biogenesis as a potential vulnerability in pancreatic cancer cells. Communications Biology. 7(1). 1065–1065. 6 indexed citations
2.
Souidi, Mouloud, Bélinda Duchêne, Bernadette Neve, et al.. (2021). Antagonistic Roles of the Tumor Suppressor miR-210-3p and Oncomucin MUC4 Forming a Negative Feedback Loop in Pancreatic Adenocarcinoma. Cancers. 13(24). 6197–6197. 7 indexed citations
3.
Hanoun, Naı̈ma, Lætitia Ligat, Hubert Lulka, et al.. (2020). The E3 ubiquitin ligase TRIP12 participates in cell cycle progression and chromosome stability. Scientific Reports. 10(1). 789–789. 23 indexed citations
4.
Junien, Claudine, Polina Panchenko, Luciano Pirola, et al.. (2016). Épigénétique et réponses transgénérationnelles aux impacts de l’environnement. médecine/sciences. 32(1). 35–44. 10 indexed citations
5.
Delpu, Yannick, Florence Renaud, Emmanuelle Leteurtre, et al.. (2015). Micro-RNAs miR-29a and miR-330-5p function as tumor suppressors by targeting the MUC1 mucin in pancreatic cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(10). 2392–2403. 97 indexed citations
6.
Buscail, Louis, Barbara Bournet, Marlène Dufresne, Jérôme Torrisani, & Pierre Cordelier. (2015). Nouveautés dans la biologie du cancer du pancréas. Bulletin du Cancer. 102(6). S53–S61. 6 indexed citations
7.
Sicard, Flavie, Frédéric Martins, Barbara Bournet, et al.. (2015). Salivary MicroRNA in Pancreatic Cancer Patients. PLoS ONE. 10(6). e0130996–e0130996. 98 indexed citations
8.
Delpu, Yannick, Audrey Vincent, Florence Renaud, et al.. (2014). miR-219-1-3p is a negative regulator of the mucin MUC4 expression and is a tumor suppressor in pancreatic cancer. Oncogene. 34(6). 780–788. 57 indexed citations
9.
Hanoun, Naı̈ma, Odile Gayet, Véronique Gigoux, et al.. (2014). The E3 Ubiquitin Ligase Thyroid Hormone Receptor-interacting Protein 12 Targets Pancreas Transcription Factor 1a for Proteasomal Degradation. Journal of Biological Chemistry. 289(51). 35593–35604. 16 indexed citations
10.
Delpu, Yannick, Hubert Lulka, Flavie Sicard, et al.. (2013). The Rescue of miR-148a Expression in Pancreatic Cancer: An Inappropriate Therapeutic Tool. PLoS ONE. 8(1). e55513–e55513. 22 indexed citations
11.
Bournet, Barbara, Marlène Dufresne, Janick Sèlves, et al.. (2013). OncogèneKraset cancer du pancréas. médecine/sciences. 29(11). 991–997. 9 indexed citations
12.
Torrisani, Jérôme, et al.. (2013). miRNA in clinical practice: Pancreatic cancer. Clinical Biochemistry. 46(10-11). 933–936. 28 indexed citations
13.
Kar, Swayamsiddha, Moonmoon Deb, Dipta Sengupta, et al.. (2012). An insight into the various regulatory mechanisms modulating human DNA methyltransferase 1 stability and function. Epigenetics. 7(9). 994–1007. 82 indexed citations
14.
Delpu, Yannick, Naı̈ma Hanoun, Hubert Lulka, et al.. (2011). Genetic and Epigenetic Alterations in Pancreatic Carcinogenesis. Current Genomics. 12(1). 15–24. 95 indexed citations
15.
Hanoun, Naı̈ma, Christophe Bureau, Odile Gayet, et al.. (2010). The SV2 variant of KLF6 is down-regulated in hepatocellular carcinoma and displays anti-proliferative and pro-apoptotic functions. Journal of Hepatology. 53(5). 880–888. 30 indexed citations
16.
Bureau, Christophe, Naı̈ma Hanoun, Jérôme Torrisani, et al.. (2009). Expression and Function of Kruppel Like-Factors (KLF) in Carcinogenesis. Current Genomics. 10(5). 353–360. 67 indexed citations
17.
Torrisani, Jérôme, et al.. (2008). DNA Demethylase transforms normal cells into highly invasive and metastatic cancer cells: Identification and characterization of novel metastatic cancer targets, therapeutic intervention for these targets, and signaling pathways leading to DNA demethylation. Cancer Research. 68. 13–13. 2 indexed citations
18.
Buscail, Louis, Fabienne Vernejoul, Patrice Faure, Jérôme Torrisani, & Christiane Susini. (2008). Contrôle de la prolifération cellulaire par la somatostatine. Annales d Endocrinologie. 63(2). 1 indexed citations
19.
Bureau, Christophe, M. Bouisson, Marie Danjoux, et al.. (2007). Expression of the transcription factor Klf6 in cirrhosis, macronodules, and hepatocellular carcinoma. Journal of Gastroenterology and Hepatology. 23(1). 78–86. 18 indexed citations
20.
Saint‐Laurent, Nathalie, Jérôme Torrisani, Andrew V. Schally, et al.. (2001). Transcriptional Activation of Mouse sst2 Somatostatin Receptor Promoter by Transforming Growth Factor-β. Journal of Biological Chemistry. 276(16). 13461–13468. 29 indexed citations

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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