Marlène Dufresne

2.9k citations
67 papers · 2.3k indexed · h-index 26
Topics
Neuropeptides and Animal Physiology (29 papers)Pancreatic and Hepatic Oncology Research (17 papers)Neuroendocrine Tumor Research Advances (17 papers)

In The Last Decade

Marlène Dufresne

67 papers receiving 2.2k citations

Peers

Marlène Dufresne
Comparison fields: 5 of 97
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 751
  • Surgery 684
  • Oncology 683
  • Cancer Research 404
Replace Catherine Seva with:
Catherine Seva France
Philippe Blache France
Melanie J. Welham United Kingdom
Christiane Susini France
Dominique Joubert France
Susan B. Masters United States
Jan Domin United Kingdom
Gregory W. Aponte United States
Shun‐ichiro Matsumoto Japan
Petra May Germany
Marlène Dufresne relative to Catherine Seva France Catherine Seva's profile →
Citations per field
00.5×1.5×2.1×
Catherine Seva · 1×
Citations per year

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
#WorkIndexed citations
1 23
2 15
3 6
4 16
5 3
6 9
7 10
8 65
9 20
10 16
11 59
12 13
13 37
14 64
15 11
16 19
17 21
18 111
19 14
20 5

About Marlène Dufresne

Marlène Dufresne is a scholar working on Cellular and Molecular Neuroscience, Oncology and Endocrinology, Diabetes and Metabolism, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (29 papers), Pancreatic and Hepatic Oncology Research (17 papers) and Neuroendocrine Tumor Research Advances (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (751 citations), Cancer Research (404 citations) and Oncology (683 citations). Marlène Dufresne has collaborated with scholars based in France, Germany and United States. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Physiological Reviews and Genes & Development.

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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