Simon Jupp
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
Papers in
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- Semantic Web and Ontologies 27
-
- Biomedical Text Mining and Ontologies 30
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 2
- Co-authors
- Helen E. Parkinson (16 shared papers)Robert Stevens (23 shared papers)Tony Burdett (8 shared papers)Annalisa Buniello (1 shared paper)John Danesh (1 shared paper)Michael Inouye (1 shared paper)Laurent Gil (1 shared paper)Michael Chapman (1 shared paper)
- Journals
- Journal of Biomedical Semantics (7 papers)BMC Bioinformatics (5 papers)Nucleic Acids Research (5 papers)Database (2 papers)Nature Genetics (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Simon Jupp
53 papers receiving 3.2k citations
Simon Jupp's Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 849
- Molecular Biology 1.2k
- Artificial Intelligence 362
- Cancer Research 134
- Health Informatics 23
Countries citing papers authored by Simon Jupp
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).
Fields of papers citing papers by Simon Jupp
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-authors
The 25 scholars most cited alongside Simon Jupp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 438 | |
| 2 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation Hit paper breakdown → | 2021 | 437 |
| 3 | Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics Hit paper breakdown → | 2020 | 399 |
| 4 | 2019 | 385 | |
| 5 | A compendium of uniformly processed human gene expression and splicing quantitative trait loci Hit paper breakdown → | 2021 | 263 |
| 6 | 2013 | 258 | |
| 7 | 2014 | 183 | |
| 8 | 2019 | 183 | |
| 9 | 2017 | 102 | |
| 10 | A new Ontology Lookup Service at EMBL-EBI. | 2015 | 63 |
| 11 | 2022 | 53 | |
| 12 | 2019 | 40 | |
| 13 | 2012 | 39 | |
| 14 | 2011 | 34 | |
| 15 | 2012 | 32 | |
| 16 | 2016 | 29 | |
| 17 | 2016 | 29 | |
| 18 | 2016 | 25 | |
| 19 | 2018 | 21 | |
| 20 | 2009 | 20 |
About Simon Jupp
Simon Jupp is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Genetics and Genetics, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (30 papers), Semantic Web and Ontologies (27 papers), Research Data Management Practices (5 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Associations and Epidemiology (3 papers), Gene expression and cancer classification (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (849 citations), Molecular Biology (1.2k citations), Artificial Intelligence (362 citations), Cancer Research (134 citations) and Health Informatics (23 citations). Simon Jupp has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Helen E. Parkinson, Robert Stevens, Tony Burdett, Annalisa Buniello, John Danesh, Michael Inouye, Laurent Gil, Michael Chapman, Scott C. Ritchie and Samuel A. Lambert. Their work appears in journals such as Journal of Biomedical Semantics, BMC Bioinformatics, Nucleic Acids Research, Database and Nature Genetics.
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.