Helen Parkinson
- Genetics top 0.5%
- Genomics and Rare Diseases 11
- Genetic Associations and Epidemiology 10
- Molecular Biology top 0.5%
- Biomedical Text Mining and Ontologies 54
- Bioinformatics and Genomic Networks 51
- Gene expression and cancer classification 30
- Genomics and Phylogenetic Studies 12
- Cancer Research top 2%
- Aging top 2%
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- Scientific Computing and Data Management 14
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- Semantic Web and Ontologies 18
- Co-authors
- Tony BurdettJacqueline A. L. MacArthurPaul FlicekLucia A. HindorffDanielle WelterPeggy HallHeather JunkinsJoannella Morales
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Helen Parkinson
107 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Genetics 2.8k
- Molecular Biology 6.1k
- Cancer Research 942
- Aging 108
- Information Systems and Management 309
Countries citing papers authored by Helen Parkinson
This map shows the geographic impact of Helen Parkinson'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 Helen Parkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Parkinson more than expected).
Fields of papers citing papers by Helen Parkinson
This network shows the impact of papers produced by Helen Parkinson. 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 Helen Parkinson. The network helps show where Helen Parkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Helen Parkinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 14 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 62 | |
| 9 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluationbreakdown → | 2021 | 320 |
| 10 | OxO - A Gravy of Ontology Mapping Extracts. | 2017 | 4 |
| 11 | EMMA: The European Mouse Mutant Archive. | 2016 | 1 |
| 12 | 2016 | 25 | |
| 13 | Slim-o-matic: a Semi-Automated Way to Generate Gene Ontology Slims. | 2016 | 1 |
| 14 | Biomedical Ontology Evolution in the EMBL-EBI Ontology Lookup Service. | 2016 | 2 |
| 15 | A new Ontology Lookup Service at EMBL-EBI. | 2015 | 45 |
| 16 | Cell, Chemical and Anatomical Views of the Gene Ontology: Mapping to a Roche Controlled Vocabulary. | 2015 | 2 |
| 17 | 2012 | 16 | |
| 18 | Semantic Web Atlas: Putting Gene Expression Data into Biological Context. | 2012 | 1 |
| 19 | Rapid Development of an Ontology of Coriell Cell Lines. | 2011 | 0 |
| 20 | 2010 | 23 |
About Helen Parkinson
Helen Parkinson is a scholar working on Information Systems and Management, Molecular Biology and Biophysics, having authored 113 papers that have together received 9.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (54 papers), Bioinformatics and Genomic Networks (51 papers), Gene expression and cancer classification (30 papers), Semantic Web and Ontologies (18 papers), Scientific Computing and Data Management (14 papers), Genomics and Phylogenetic Studies (12 papers), Genomics and Rare Diseases (11 papers) and Genetic Associations and Epidemiology (10 papers). The work is most often cited by research in Genetics (2.8k citations), Molecular Biology (6.1k citations) and Cancer Research (942 citations). Helen Parkinson has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Tony Burdett, Jacqueline A. L. MacArthur, Paul Flicek, Lucia A. Hindorff, Danielle Welter, Peggy Hall, Heather Junkins, Joannella Morales, Alvis Brāzma and Teri A. Manolio. Their work appears in journals such as Science, The Lancet and Nucleic Acids Research.
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.