Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
20131.9k citationsDanielle Welter, Jacqueline A. L. MacArthur et al.Nucleic Acids Researchprofile →
The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)
20161.3k citationsJacqueline A. L. MacArthur, María Cerezo et al.Nucleic Acids Researchprofile →
ArrayExpress--a public repository for microarray gene expression data at the EBI
Countries citing papers authored by Helen Parkinson
Since
Specialization
Citations
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).
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 of co-authors of Helen Parkinson
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Parkinson.
A scholar is included among the top collaborators of Helen Parkinson 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 Helen Parkinson. Helen Parkinson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lambert, Samuel A., Laurent Gil, Simon Jupp, et al.. (2021). The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation. Nature Genetics. 53(4). 420–425.320 indexed citations breakdown →
Courtot, Mélanie, Alex Mitchell, Maxim Scheremetjew, et al.. (2016). Slim-o-matic: a Semi-Automated Way to Generate Gene Ontology Slims..1 indexed citations
13.
Montoliu, Lluı́s, Fabrizio Mammano, Yann Hérault, et al.. (2016). EMMA: The European Mouse Mutant Archive.. Transgenic Research. 25. 228.1 indexed citations
14.
Jupp, Simon, Tony Burdett, Catherine Leroy, & Helen Parkinson. (2015). A new Ontology Lookup Service at EMBL-EBI.. 118–119.45 indexed citations
15.
Jupp, Simon, Danielle Welter, Tony Burdett, Helen Parkinson, & James Malone. (2015). Collaborative Ontology Development Using the Webulous Architecture and Google App.. 120–121.2 indexed citations
16.
Osumi-Sutherland, David, et al.. (2015). Cell, Chemical and Anatomical Views of the Gene Ontology: Mapping to a Roche Controlled Vocabulary.. 84–93.2 indexed citations
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.