Maude Fransolet

25 total papers · 654 total citations
22 papers, 538 citations indexed

About

Maude Fransolet is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Maude Fransolet has authored 22 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Maude Fransolet's work include Cancer, Hypoxia, and Metabolism (5 papers), Autophagy in Disease and Therapy (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Maude Fransolet is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Autophagy in Disease and Therapy (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Maude Fransolet collaborates with scholars based in Belgium, France and United Kingdom. Maude Fransolet's co-authors include Carine Michiels, Thierry Arnould, Catherine Demazy, Audrey Sermeus, Magali Rebucci, Annick Notte, Stéphane Lucas, Christelle Saout, Florence Noël and Jorge Mejia and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Nanoscale.

In The Last Decade

Maude Fransolet

21 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
Maude Fransolet 245 139 93 66 61 22 538
Jinhang Hu 344 1.4× 280 2.0× 93 1.0× 57 0.9× 43 0.7× 24 571
Yanyan Guo 317 1.3× 104 0.7× 139 1.5× 39 0.6× 57 0.9× 27 522
Nadia Ninfa Albanese 282 1.2× 148 1.1× 127 1.4× 61 0.9× 52 0.9× 19 593
K Nissler 336 1.4× 136 1.0× 74 0.8× 58 0.9× 56 0.9× 34 530
Tapasya Srivastava 332 1.4× 134 1.0× 34 0.4× 91 1.4× 34 0.6× 33 594
Pengfei Yang 167 0.7× 84 0.6× 126 1.4× 106 1.6× 95 1.6× 25 559
Yun Bi 285 1.2× 93 0.7× 58 0.6× 44 0.7× 48 0.8× 28 535
Elwira Stróżyk 275 1.1× 118 0.8× 47 0.5× 105 1.6× 131 2.1× 13 605
Liuqing Cui 276 1.1× 78 0.6× 47 0.5× 38 0.6× 32 0.5× 23 525
Ruiqing Chen 241 1.0× 67 0.5× 73 0.8× 56 0.8× 61 1.0× 32 482

Countries citing papers authored by Maude Fransolet

Since Specialization
Citations

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

Fields of papers citing papers by Maude Fransolet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maude Fransolet

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