Florence Allione

507 total citations
8 papers, 429 citations indexed

About

Florence Allione is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Florence Allione has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in Florence Allione's work include Genetic factors in colorectal cancer (3 papers), RNA modifications and cancer (2 papers) and Cancer-related Molecular Pathways (2 papers). Florence Allione is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), RNA modifications and cancer (2 papers) and Cancer-related Molecular Pathways (2 papers). Florence Allione collaborates with scholars based in France, Netherlands and Norway. Florence Allione's co-authors include François Eisinger, F Kerangueven, Daniel Birnbaum, Michel Longy, Hagay Sobol, Rosette Lidereau, J Jacquemier, T Noguchi, François Coulier and J Simony-Lafontaine and has published in prestigious journals such as Oncogene, International Journal of Cancer and Genes Chromosomes and Cancer.

In The Last Decade

Florence Allione

8 papers receiving 412 citations

Peers

Florence Allione
Comparison fields: 5 of 45
  • Molecular Biology 271
  • Genetics 176
  • Cancer Research 156
  • Pathology and Forensic Medicine 150
  • Oncology 123
Replace F Kerangueven with:
F Kerangueven France
Lesley McGuffog United Kingdom
Åke Borg Sweden
T Noguchi France
Elizabeth L. Schubert United States
Keri Fair United States
Agnès Chompret France
R.S. Cornelis Netherlands
Erika L.D. Mitchell United Kingdom
Françoise Dessarps-Freichey France
F Kerangueven France View profile →
Citations per field, relative to Florence Allione
Florence Allione · 1×
Citations per year, relative to Florence Allione
Florence Allione · 1×

Countries citing papers authored by Florence Allione

Since Specialization
Citations

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

Fields of papers citing papers by Florence Allione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Allione

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Allione. A scholar is included among the top collaborators of Florence Allione 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 Florence Allione. Florence Allione is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 39
2 50
3 54
4
Genome-wide search for loss of heterozygosity shows extensive genetic diversity of human breast carcinomas.
137
5 4
6 2
7 38
8
Loss of heterozygosity and linkage analysis in breast carcinoma: indication for a putative third susceptibility gene on the short arm of chromosome 8.
105

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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2026