Marlène Dufresne

2.9k total citations
67 papers, 2.3k citations indexed

About

Marlène Dufresne is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marlène Dufresne has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 30 papers in Molecular Biology and 29 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marlène Dufresne's work include Neuropeptides and Animal Physiology (29 papers), Pancreatic and Hepatic Oncology Research (17 papers) and Neuroendocrine Tumor Research Advances (17 papers). Marlène Dufresne is often cited by papers focused on Neuropeptides and Animal Physiology (29 papers), Pancreatic and Hepatic Oncology Research (17 papers) and Neuroendocrine Tumor Research Advances (17 papers). Marlène Dufresne collaborates with scholars based in France, Germany and United States. Marlène Dufresne's co-authors include Daniel Fourmy, Catherine Seva, Nicole Vaysse, Pascal Clerc, Chantal Escrieut, Lucien Pradayrol, Sandrine Silvente‐Poirot, Pierre Cordelier, Janick Sèlves and Louis Buscail and has published in prestigious journals such as Journal of Biological Chemistry, Physiological Reviews and Genes & Development.

In The Last Decade

Marlène Dufresne

67 papers receiving 2.2k citations

Peers

Marlène Dufresne
Catherine Seva France
Jan Domin United Kingdom
Shun‐ichiro Matsumoto Japan
Susan B. Masters United States
Philippe Blache France
Benoît Bilanges United Kingdom
Christiane Susini France
Dominique Joubert France
Koji Nata Japan
Gregory W. Aponte United States
Catherine Seva France
Marlène Dufresne
Citations per year, relative to Marlène Dufresne Marlène Dufresne (= 1×) peers Catherine Seva

Countries citing papers authored by Marlène Dufresne

Since Specialization
Citations

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

Fields of papers citing papers by Marlène Dufresne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlène Dufresne

This figure shows the co-authorship network connecting the top 25 collaborators of Marlène Dufresne. A scholar is included among the top collaborators of Marlène Dufresne 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 Marlène Dufresne. Marlène Dufresne 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.
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
2.
Ligat, Lætitia, Nathalie Saint‐Laurent, Véronique Gigoux, et al.. (2015). Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models. British Journal of Cancer. 113(11). 1590–1598. 15 indexed citations
3.
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
4.
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
5.
Gout, Johann, Roxane M. Pommier, David F. Vincent, et al.. (2013). The conditional expression of KRASG12D in mouse pancreas induces disorganization of endocrine islets prior the onset of ductal pre-cancerous lesions. Pancreatology. 13(3). 191–195. 3 indexed citations
6.
Bournet, Barbara, Marlène Dufresne, Janick Sèlves, et al.. (2013). OncogèneKraset cancer du pancréas. médecine/sciences. 29(11). 991–997. 9 indexed citations
7.
Dufresne, Marlène, Pascal Clerc, M Dieng, et al.. (2010). Id3 modulates cellular localization of bHLH Ptf1‐p48 protein. International Journal of Cancer. 129(2). 295–306. 10 indexed citations
8.
Clerc, Pascal, Hubert Lulka, Charlotte Guigné, et al.. (2006). Involvement of Cholecystokinin 2 Receptor in Food Intake Regulation: Hyperphagia and Increased Fat Deposition in Cholecystokinin 2 Receptor-Deficient Mice. Endocrinology. 148(3). 1039–1049. 65 indexed citations
9.
Clerc, Pascal, Bertrand Courtioux, Véronique Gigoux, et al.. (2006). Cholecystokinin-2 receptor modulates cell adhesion through β1-integrin in human pancreatic cancer cells. Oncogene. 25(32). 4421–4428. 20 indexed citations
10.
Ferrand, Audrey, Frédéric Lopez, Aline Kowalski‐Chauvel, et al.. (2006). An ITIM-like motif within the CCK2 receptor sequence required for interaction with SHP-2 and the activation of the AKT pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(10). 1098–1107. 16 indexed citations
11.
Ferrand, Audrey, Aline Kowalski‐Chauvel, Chantal Escrieut, et al.. (2005). A Novel Mechanism for JAK2 Activation by a G Protein-coupled Receptor, the CCK2R. Journal of Biological Chemistry. 280(11). 10710–10715. 59 indexed citations
12.
Tassa, Amina, Audrey Ferrand, Jean‐Pierre Estève, et al.. (2004). The G‐protein‐coupled CCK2 receptor associates with phospholipase Cγ1. FEBS Letters. 568(1-3). 89–93. 13 indexed citations
13.
Ferrand, Audrey, Aline Kowalski‐Chauvel, Lucien Pradayrol, et al.. (2004). Involvement of JAK2 upstream of the PI 3-kinase in cell–cell adhesion regulation by gastrin. Experimental Cell Research. 301(2). 128–138. 37 indexed citations
14.
Clerc, Pascal, Timothy C. Wang, Graham J. Dockray, et al.. (2002). Expression of CCK2 receptors in the murine pancreas: Proliferation, transdifferentiation of acinar cells, and neoplasia. Gastroenterology. 122(2). 428–437. 64 indexed citations
15.
Clerc, Pascal, et al.. (2002). Transgenic Mice Expressing Cholecystokinin 2 Receptors in the Pancreas. Pharmacology & Toxicology. 91(6). 321–326. 11 indexed citations
16.
Dréan, Gwenola Le, Isabelle Le Huërou‐Luron, Véronique Rome, et al.. (1999). Exogenous CCK and gastrin stimulate pancreatic exocrine secretion via CCK-A but also via CCK-B/gastrin receptors in the calf. Pflügers Archiv - European Journal of Physiology. 438(1). 86–93. 19 indexed citations
17.
18.
Silvente‐Poirot, Sandrine, Marlène Dufresne, Nicole Vaysse, & Daniel Fourmy. (1993). The peripheral cholecystokinin receptors. European Journal of Biochemistry. 215(3). 513–529. 111 indexed citations
19.
20.
Krois, Daniel, Marlène Dufresne, Hans Neumann, Luis Moroder, & Erich Wünsch. (1990). On the Hypothetical Protein F154 of the TTV1 Virus from Thermoproteus tenax. Part III: Immunological Identification of the Protein with Anti-Peptide Antibodies. Biological Chemistry Hoppe-Seyler. 371(1). 43–48. 5 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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