Peter Saffrey
Impact in
- Computer Science Applications top 10%
- Teaching and Learning Programming
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
-
- Genomics and Chromatin Dynamics 2
- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Histone Deacetylase Inhibitors Research 1
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- Education, Achievement, and Giftedness 1
- Co-authors
- Quintin Cutts (1 shared paper)Stephen Draper (1 shared paper)Patrick O’Donnell (1 shared paper)David Vetrie (3 shared papers)James Hetherington (4 shared papers)A Warner (4 shared papers)Robert M. Seymour (4 shared papers)Helen C. Purchase (1 shared paper)
- Journals
- Journal of The Royal Society Interface (2 papers)PLoS ONE (1 paper)Cancer Discovery (1 paper)BMC Systems Biology (1 paper)Computers & Chemical Engineering (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Peter Saffrey
10 papers receiving 365 citations
Peers
Comparison fields: 5 of 86
- Computer Science Applications 44
- Hematology 79
- Genetics 42
- Molecular Biology 190
- Developmental and Educational Psychology 30
Countries citing papers authored by Peter Saffrey
This map shows the geographic impact of Peter Saffrey'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 Peter Saffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Saffrey more than expected).
Fields of papers citing papers by Peter Saffrey
This network shows the impact of papers produced by Peter Saffrey. 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 Peter Saffrey. The network helps show where Peter Saffrey may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Saffrey, 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 | 2016 | 99 | |
| 2 | 2010 | 76 | |
| 3 | 2010 | 55 | |
| 4 | 2004 | 52 | |
| 5 | 2013 | 26 | |
| 6 | The mental map versus static aesthetic compromise in dynamic graphs: a user study | 2008 | 20 |
| 7 | 2011 | 19 | |
| 8 | 2006 | 19 | |
| 9 | 2012 | 12 | |
| 10 | 2009 | 6 |
About Peter Saffrey
Peter Saffrey is a scholar working on Molecular Biology, Experimental and Cognitive Psychology, Endocrinology, Diabetes and Metabolism, Social Psychology and Information Systems, having authored 10 papers that have together received 384 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (2 papers), Genomics and Chromatin Dynamics (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene Regulatory Network Analysis (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Semantic Web and Ontologies (1 paper), Education, Achievement, and Giftedness (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Computer Science Applications (44 citations), Hematology (79 citations), Genetics (42 citations), Molecular Biology (190 citations) and Developmental and Educational Psychology (30 citations). Peter Saffrey has collaborated with scholars based in United Kingdom. Frequent co-authors include Quintin Cutts, Stephen Draper, Patrick O’Donnell, David Vetrie, James Hetherington, A Warner, Robert M. Seymour, Helen C. Purchase, Linzhong Li and Paolo Gallipoli. Their work appears in journals such as Journal of The Royal Society Interface, PLoS ONE, Cancer Discovery, BMC Systems Biology and Computers & Chemical Engineering.
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.