Anna Farne

820 citations
6 papers · 641 · h-index 5

Impact in

    • Bioinformatics and Genomic Networks
    • CRISPR and Genetic Engineering
    • Gene expression and cancer classification
    • Genomics and Phylogenetic Studies
    • Biomedical Text Mining and Ontologies
    • Genomics and Chromatin Dynamics
    • Scientific Computing and Data Management

Papers in

Anna Farne

6 papers receiving 629 citations

Peers

Anna Farne
Comparison fields: 5 of 73
  • Molecular Biology 408
  • Information Systems and Management 52
  • Information Systems 92
  • Cancer Research 28
  • Aging 3
Replace Nataliya Sklyar with:
Nataliya Sklyar United Kingdom
Aleksi Kallio Finland
Ibrahim Emam United Kingdom
Victoria Petri United States
Frank Schacherer Germany
Niran Abeygunawardena United Kingdom
Jan Taubert United Kingdom
Ekaterina Pilicheva United Kingdom
Steve Chervitz United States
Sirarat Sarntivijai United States
Anna Farne relative to Nataliya Sklyar United Kingdom Nataliya Sklyar's profile →
Citations per field
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Nataliya Sklyar · 1×
Citations per year

Countries citing papers authored by Anna Farne

Since Specialization
Citations

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

Fields of papers citing papers by Anna Farne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2012302
2 2006158
3 2015157
4 200813
5 20059
6 20152

About Anna Farne

Anna Farne is a scholar working on Information Systems, Information Systems and Management, Molecular Biology, Hematology and Nuclear Energy and Engineering, having authored 6 papers that have together received 641 indexed citations. Recurring topics across this work include Research Data Management Practices (4 papers), Gene expression and cancer classification (3 papers), Scientific Computing and Data Management (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (1 paper), CRISPR and Genetic Engineering (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Molecular Biology (408 citations), Information Systems and Management (52 citations), Information Systems (92 citations), Cancer Research (28 citations) and Aging (3 citations). Anna Farne has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Vivek Iyer, William C. Skarnes, David J. Parry-Smith, Tiago Grego, Helen E. Parkinson, Ele Holloway, Tim F. Rayner, Eleanor M. Williams, Xiangqun Zheng-Bradley and Alvis Brāzma. Their work appears in journals such as Bioinformatics, PLANT PHYSIOLOGY, Nucleic Acids Research, BMC Bioinformatics and Blood.

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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