Gary Saunders
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
-
- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Ecology 3
- Parasite Biology and Host Interactions 3
- Co-authors
- John S. Gilleard (4 shared papers)Matthew Berriman (4 shared papers)Collette Britton (2 shared papers)Allerdien Visser (1 shared paper)Peter Geldhof (1 shared paper)Daniel J. Clark (1 shared paper)David P. Knox (1 shared paper)Tim Hubbard (1 shared paper)
- Journals
- Human Mutation (1 paper)Frontiers in Molecular Biosciences (1 paper)Parasitology (1 paper)International Journal for Parasitology (1 paper)Journal of Animal Science (1 paper)
- Partner nations
- United KingdomNetherlandsFinland
In The Last Decade
Gary Saunders
14 papers receiving 453 citations
Peers
Comparison fields: 5 of 70
- Aging 37
- Parasitology 121
- Small Animals 112
- Ecology 146
- Molecular Biology 231
Countries citing papers authored by Gary Saunders
This map shows the geographic impact of Gary Saunders'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 Gary Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Saunders more than expected).
Fields of papers citing papers by Gary Saunders
This network shows the impact of papers produced by Gary Saunders. 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 Gary Saunders. The network helps show where Gary Saunders may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Saunders, 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 | 2006 | 130 | |
| 2 | 2011 | 101 | |
| 3 | 2021 | 62 | |
| 4 | 2013 | 45 | |
| 5 | 2008 | 35 | |
| 6 | 2016 | 25 | |
| 7 | 2022 | 22 | |
| 8 | 2011 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 3 | |
| 11 | Applying anatomical therapeutic chemical (ATC) and critical term ontologies to Australian drug safety data for association rules and adverse event signalling | 2005 | 3 |
| 12 | 2023 | 2 | |
| 13 | 2025 | 1 | |
| 14 | A comparison of two methods to establish drug-reaction relationships in the ADRAC database | 2004 | 1 |
| 15 | 2016 | 1 |
About Gary Saunders
Gary Saunders is a scholar working on Molecular Biology, Ecology, Genetics, Small Animals and Toxicology, having authored 15 papers that have together received 460 indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (3 papers), Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Computational Drug Discovery Methods (2 papers), Genomics and Phylogenetic Studies (2 papers), Parasites and Host Interactions (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Aging (37 citations), Parasitology (121 citations), Small Animals (112 citations), Ecology (146 citations) and Molecular Biology (231 citations). Gary Saunders has collaborated with scholars based in United Kingdom, Netherlands and Finland. Frequent co-authors include John S. Gilleard, Matthew Berriman, Collette Britton, Allerdien Visser, Peter Geldhof, Daniel J. Clark, David P. Knox, Tim Hubbard, Jennifer Harrow and Lu Yu. Their work appears in journals such as Human Mutation, Frontiers in Molecular Biosciences, Parasitology, International Journal for Parasitology and Journal of Animal Science.
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.