Simon Jupp

4.9k citations
45 papers · 1.0k · 2 hit papers · h-index 15

Impact in

Papers in

Simon Jupp

42 papers receiving 1.0k citations

Simon Jupp's Hit Papers

A compendium of uniformly processed human gene expression and splicing quantitative trait loci 2021 · 165 citations
1650+1+3Years since publication100200300

Peers

Simon Jupp
Comparison fields: 5 of 127
  • Genetics 342
  • Information Systems and Management 71
  • Molecular Biology 604
  • Artificial Intelligence 219
  • Health Informatics 8
Replace Daniel Himmelstein with:
Daniel Himmelstein United States
Alexander A. Morgan United States
Drashtti Vasant United Kingdom
Nicole Vasilevsky United States
Matthew Brush United States
Marco Brandizi United Kingdom
Jessica Minnier United States
Gang Feng China
Adrian Mondry Singapore
Wendy A. Wolf United States
Simon Jupp relative to Daniel Himmelstein United States Daniel Himmelstein's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simon Jupp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Simon Jupp Line = papers co-authored together Simon Jupp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation
Hit paper breakdown →
2021320
2
A compendium of uniformly processed human gene expression and splicing quantitative trait loci
Hit paper breakdown →
2021165
3 2014143
4
A new Ontology Lookup Service at EMBL-EBI.
201545
5 201135
6 201934
7 197831
8 201229
9 201229
10 201625
11 200919
12 201617
13 201816
14 200814
15 201714
16 201213
17 200910
18 201310
19 20089
20 20198

About Simon Jupp

Simon Jupp is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems and Management, Information Systems and Genetics, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (32 papers), Semantic Web and Ontologies (28 papers), Bioinformatics and Genomic Networks (12 papers), Scientific Computing and Data Management (10 papers), Service-Oriented Architecture and Web Services (5 papers), Advanced Text Analysis Techniques (3 papers), Genomics and Rare Diseases (3 papers) and Research Data Management Practices (3 papers). The work is most often cited by research in Genetics (342 citations), Information Systems and Management (71 citations), Molecular Biology (604 citations), Artificial Intelligence (219 citations) and Health Informatics (8 citations). Simon Jupp has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Helen Parkinson, Robert Stevens, Tony Burdett, Michael Inouye, Scott C. Ritchie, Aoife McMahon, Samuel A. Lambert, Michael Chapman, Yu Xu and Annalisa Buniello. Their work appears in journals such as Journal of Biomedical Semantics, BMC Bioinformatics, Nature Genetics, Bioinformatics and IEEE Internet Computing.

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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