James Blackshaw
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
-
- Computational Drug Discovery Methods
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Mitochondrial Function and Pathology 1
-
- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Stephen Burgess (2 shared papers)Robin Young (2 shared papers)James R Staley (2 shared papers)John Danesh (2 shared papers)Mihir Kamat (2 shared papers)Praveen Surendran (2 shared papers)Adam S. Butterworth (2 shared papers)Dirk S. Paul (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nucleic Acids Research (2 papers)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
James Blackshaw
5 papers receiving 2.9k citations
James Blackshaw's Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 625
- Computational Theory and Mathematics 305
- Molecular Biology 761
- Rheumatology 134
- Gastroenterology 47
Countries citing papers authored by James Blackshaw
This map shows the geographic impact of James Blackshaw'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 James Blackshaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Blackshaw more than expected).
Fields of papers citing papers by James Blackshaw
This network shows the impact of papers produced by James Blackshaw. 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 James Blackshaw. The network helps show where James Blackshaw may publish in the future.
Co-authors
The 25 scholars most cited alongside James Blackshaw, 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 | PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations Hit paper breakdown → | 2019 | 1324 |
| 2 | PhenoScanner: a database of human genotype–phenotype associations Hit paper breakdown → | 2016 | 902 |
| 3 | The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods Hit paper breakdown → | 2023 | 612 |
| 4 | 2011 | 78 | |
| 5 | 2014 | 2 |
About James Blackshaw
James Blackshaw is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Spectroscopy and Fluid Flow and Transfer Processes, having authored 5 papers that have together received 2.9k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Biodiesel Production and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Lubricants and Their Additives (1 paper), Computational Drug Discovery Methods (1 paper), Mitochondrial Function and Pathology (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Advanced Combustion Engine Technologies (1 paper). The work is most often cited by research in Genetics (625 citations), Computational Theory and Mathematics (305 citations), Molecular Biology (761 citations), Rheumatology (134 citations) and Gastroenterology (47 citations). James Blackshaw has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Stephen Burgess, Robin Young, James R Staley, John Danesh, Mihir Kamat, Praveen Surendran, Adam S. Butterworth, Dirk S. Paul, Benjamin B. Sun and Peter Monecke. Their work appears in journals such as Bioinformatics, Nucleic Acids Research and SAE technical papers on CD-ROM/SAE technical paper series.
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.