Flora D’Anna

927 citations
4 papers · 619 · 1 hit paper · h-index 3

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Mitochondrial Function and Pathology
    • Cancer-related gene regulation

Papers in

    • Epigenetics and DNA Methylation 1
    • Genomics and Phylogenetic Studies 1
    • CRISPR and Genetic Engineering 1
    • Circular RNAs in diseases 1
    • Cancer Genomics and Diagnostics 1
    • MicroRNA in disease regulation 1
    • Cancer, Hypoxia, and Metabolism 1

Flora D’Anna

4 papers receiving 611 citations

Hit Papers

Tumour hypoxia causes DNA hypermethylation by reducing TET activity 2016 · 459 citations
4590+3+6Years since publication100200300400

Peers

Flora D’Anna
Comparison fields: 5 of 74
  • Cancer Research 282
  • Molecular Biology 421
  • Genetics 41
  • Immunology 50
  • Oncology 63
Replace Simon Haefliger with:
Simon Haefliger Switzerland
Athanasios Ploumakis United Kingdom
Els Hermans Belgium
Panimaya Jeffreena Miranda Australia
Jihong Ma China
Ola Hadadeh Lebanon
Anneleen Beckers Belgium
Daniela Dettori Italy
Huashan Liu China
Flora D’Anna relative to Simon Haefliger Switzerland Simon Haefliger's profile →
Citations per field
00.5×4.0×
Simon Haefliger · 1×
Citations per year

Countries citing papers authored by Flora D’Anna

Since Specialization
Citations

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

Fields of papers citing papers by Flora D’Anna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flora D’Anna. 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 Flora D’Anna. The network helps show where Flora D’Anna may publish in the future.

Co-authors

The 25 scholars most cited alongside Flora D’Anna, 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 Flora D’Anna Line = papers co-authored together Flora D’Anna links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Tumour hypoxia causes DNA hypermethylation by reducing TET activity
Hit paper breakdown →
2016459
2 2016154
3 20214
4 20242

About Flora D’Anna

Flora D’Anna is a scholar working on Molecular Biology, Cancer Research, Ecology, Biotechnology and Infectious Diseases, having authored 4 papers that have together received 619 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer Research and Treatments (1 paper), Genomics and Phylogenetic Studies (1 paper), CRISPR and Genetic Engineering (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (282 citations), Molecular Biology (421 citations), Genetics (41 citations), Immunology (50 citations) and Oncology (63 citations). Flora D’Anna has collaborated with scholars based in Germany, Belgium and United Kingdom. Frequent co-authors include Bart Ghesquière, Bernard Thienpont, Peter Carmeliet, Diether Lambrechts, Els Hermans, Bram Boeckx, Jessica Steinbacher, Frédéric Amant, Laurien Van Dyck and Luc Schoonjans. Their work appears in journals such as Cell Metabolism, Nature, Scientific Reports and Bioinformatics.

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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