Fabienne Lesueur

8.5k citations
60 papers · 2.0k indexed · h-index 28
Topics
BRCA gene mutations in cancer (23 papers)Thyroid Cancer Diagnosis and Treatment (20 papers)Cancer Genomics and Diagnostics (7 papers)

In The Last Decade

Fabienne Lesueur

59 papers receiving 2.0k citations

Peers

Fabienne Lesueur
Comparison fields: 5 of 101
  • Molecular Biology 1.0k
  • Genetics 778
  • Endocrinology, Diabetes and Metabolism 620
  • Oncology 487
  • Cancer Research 343
Replace H. G. Suarez with:
H. G. Suarez France
Scott M. Kahn United States
Isamu Nishisho Japan
Peter vanTuinen United States
A L Børresen Norway
A.Y. Sakaguchi United States
Catherine Cavard France
Naoki Kitabayashi United States
Adina Figl Germany
S Dirnhofer Switzerland
Fabienne Lesueur relative to H. G. Suarez France H. G. Suarez's profile →
Citations per field
00.5×10×15×18.3×
H. G. Suarez · 1×
Citations per year

Countries citing papers authored by Fabienne Lesueur

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Lesueur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabienne Lesueur

This figure shows the co-authorship network connecting the top 25 collaborators of Fabienne Lesueur. A scholar is included among the top collaborators of Fabienne Lesueur 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 Fabienne Lesueur. Fabienne Lesueur 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 1
2 6
3 16
4 4
5 25
6 104
7 23
8 54
9 7
10 32
11 36
12 27
13 142
14 20
15 11
16 39
17 3
18 22
19 59
20 178

About Fabienne Lesueur

Fabienne Lesueur is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (23 papers), Thyroid Cancer Diagnosis and Treatment (20 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (620 citations), Genetics (778 citations) and Cancer Research (343 citations). Fabienne Lesueur has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Sean V. Tavtigian, Paul D.P. Pharoah, Graham Byrnes, Federico Canzian, Florence Le Calvez‐Kelm, Alison M. Dunning, Marc S. Greenblatt, Douglas F. Easton, Dominique Bonneau and Giovanni Romeo. Their work appears in journals such as Nature Genetics, Bioinformatics and PLoS ONE.

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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