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 Polygenic Score Catalog as an open database for reproducibility and systematic evaluation
2021320 citationsSamuel A. Lambert, Laurent Gil et al.Nature Geneticsprofile →
A compendium of uniformly processed human gene expression and splicing quantitative trait loci
2021165 citationsTony Burdett, Simon Jupp et al.Nature Geneticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Simon Jupp'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 Simon Jupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Jupp more than expected).
This network shows the impact of papers produced by Simon Jupp. 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 Simon Jupp. The network helps show where Simon Jupp may publish in the future.
Co-authorship network of co-authors of Simon Jupp
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Jupp.
A scholar is included among the top collaborators of Simon Jupp 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 Simon Jupp. Simon Jupp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Juty, Nick, et al.. (2023). Features of a FAIR vocabulary. Journal of Biomedical Semantics. 14(1). 6–6.3 indexed citations
2.
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 →
Vrousgou, Olga, Tony Burdett, Helen Parkinson, & Simon Jupp. (2016). Biomedical Ontology Evolution in the EMBL-EBI Ontology Lookup Service.. EDBT/ICDT Workshops.2 indexed citations
Jupp, Simon, Tony Burdett, Catherine Leroy, & Helen Parkinson. (2015). A new Ontology Lookup Service at EMBL-EBI.. 118–119.45 indexed citations
10.
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
11.
Jupp, Simon, Helen Parkinson, & James Malone. (2012). Semantic Web Atlas: Putting Gene Expression Data into Biological Context..1 indexed citations
Jupp, Simon, Matthew Horridge, Luigi Iannone, et al.. (2010). Populous: A Tool for Populating Templates for OWL Ontologies..3 indexed citations
15.
Jupp, Simon, Julie Klein, Joost P. Schanstra, & Robert Stevens. (2010). Developing a Kidney and Urinary Pathway Knowledge Base. HAL (Le Centre pour la Communication Scientifique Directe).2 indexed citations
16.
Jupp, Simon, Robert Stevens, Sean Bechhofer, Yeliz Yeşilada, & Patty Kostkova. (2008). Knowledge Representation for Web Navigation. Research Explorer (The University of Manchester).6 indexed citations
17.
Jupp, Simon, Sean Bechhofer, & Robert Stevens. (2008). SKOS with OWL: Don't be Full-ish!. Research Explorer (The University of Manchester).4 indexed citations
18.
Jupp, Simon, et al.. (2008). A flexible API and editor for SKOS. Research Explorer (The University of Manchester). 24–25.2 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.