Fleur Hammet

2.6k citations
33 papers · 757 · h-index 14

Impact in

Papers in

    • BRCA gene mutations in cancer 14
    • Genomic variations and chromosomal abnormalities 3
    • Genomics and Rare Diseases 3
    • Molecular Biology Techniques and Applications 4
    • Genomics and Phylogenetic Studies 3

Fleur Hammet

32 papers receiving 742 citations

Peers

Fleur Hammet
Comparison fields: 5 of 80
  • Physiology 75
  • Cancer Research 156
  • Genetics 279
  • Molecular Biology 330
  • Oncology 111
Replace Maria Sofia Fernandes with:
Maria Sofia Fernandes Portugal
Y. Hey United Kingdom
V P Sukhatme United States
Jorge Estefano Santana de Souza Brazil
Leonard S. Bazar United States
Yu-Wei Leu Taiwan
Bjarte Dysvik Norway
Eva Loh Singapore
Jingmin Shu United States
Massimo Zani Italy
Fleur Hammet relative to Maria Sofia Fernandes Portugal Maria Sofia Fernandes's profile →
Citations per field
00.5×2.7×
Maria Sofia Fernandes · 1×
Citations per year

Countries citing papers authored by Fleur Hammet

Since Specialization
Citations

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

Fields of papers citing papers by Fleur Hammet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fleur Hammet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fleur Hammet Line = papers co-authored together Fleur Hammet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distinct molecular pathogeneses of early-onset breast cancers in BRCA1 and BRCA2 mutation carriers: a population-based study.
1999188
2 200487
3
Expression of the P2Y6 purinergic receptor in human T cells infiltrating inflammatory bowel disease.
199864
4 201349
5 200240
6 201334
7 200531
8 200322
9 201820
10 201518
11 202116
12 202115
13 199615
14 202014
15 202212
16 201112
17 201312
18 199711
19 201411
20 202010

About Fleur Hammet

Fleur Hammet is a scholar working on Genetics, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 757 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (14 papers), Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (5 papers), Molecular Biology Techniques and Applications (4 papers), Adenosine and Purinergic Signaling (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Physiology (75 citations), Cancer Research (156 citations), Genetics (279 citations), Molecular Biology (330 citations) and Oncology (111 citations). Fleur Hammet has collaborated with scholars based in Australia, United States and Poland. Frequent co-authors include Melissa C. Southey, Deon J. Venter, Jane E. Armes, Anne‐Marie Hutchins, Tú Nguyen‐Dumont, Graham G. Giles, Daniel J. Park, John L. Hopper, Bernard J. Pope and David White. Their work appears in journals such as BioTechniques, Breast Cancer Research and Treatment, Familial Cancer, Cancers and Analytical Biochemistry.

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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