Gary Saunders
Impact in
- Aging top 10%
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
-
- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
- Genomics and Phylogenetic Studies 2
- Ecology 3
- Parasite Biology and Host Interactions 3
- Co-authors
- Matthew Berriman (4 shared papers)John S. Gilleard (4 shared papers)Collette Britton (2 shared papers)Daniel J. Clark (1 shared paper)Peter Geldhof (1 shared paper)David P. Knox (1 shared paper)Allerdien Visser (1 shared paper)Jennifer Harrow (2 shared papers)
- Journals
- Parasitology (1 paper)Journal of Biomedical Semantics (1 paper)PLoS ONE (1 paper)Journal of Animal Science (1 paper)Genome Research (1 paper)
- Partner nations
- United KingdomNetherlandsSpain
In The Last Decade
Gary Saunders
14 papers receiving 487 citations
Peers
Comparison fields: 5 of 71
- Aging 34
- Parasitology 112
- Small Animals 109
- Ecology 139
- Molecular Biology 223
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 | 139 | |
| 2 | 2011 | 104 | |
| 3 | 2021 | 68 | |
| 4 | 2013 | 45 | |
| 5 | 2008 | 36 | |
| 6 | 2016 | 26 | |
| 7 | 2022 | 23 | |
| 8 | 2011 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2024 | 4 | |
| 12 | Applying anatomical therapeutic chemical (ATC) and critical term ontologies to Australian drug safety data for association rules and adverse event signalling | 2005 | 3 |
| 13 | 2023 | 2 | |
| 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, Small Animals, Toxicology and Artificial Intelligence, having authored 15 papers that have together received 495 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Parasite Biology and Host Interactions (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Computational Drug Discovery Methods (2 papers), Parasites and Host Interactions (2 papers), Helminth infection and control (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Aging (34 citations), Parasitology (112 citations), Small Animals (109 citations), Ecology (139 citations) and Molecular Biology (223 citations). Gary Saunders has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include Matthew Berriman, John S. Gilleard, Collette Britton, Daniel J. Clark, Peter Geldhof, David P. Knox, Allerdien Visser, Jennifer Harrow, Tim Hubbard and Mark O. Collins. Their work appears in journals such as Parasitology, Journal of Biomedical Semantics, PLoS ONE, Journal of Animal Science and Genome Research.
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.