Hilary Gates

1.0k total citations
14 papers, 210 citations indexed

About

Hilary Gates is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Information Systems. According to data from OpenAlex, Hilary Gates has authored 14 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Information Systems. Recurrent topics in Hilary Gates's work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Muscle Physiology and Disorders (3 papers). Hilary Gates is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Muscle Physiology and Disorders (3 papers). Hilary Gates collaborates with scholars based in United Kingdom, France and United States. Hilary Gates's co-authors include Steve D.M. Brown, John M. Hancock, R M Ridge, Ann‐Marie Mallon, A Rowlerson, William J. Betz, Sophie Leblanc, Hugh W. Morgan, Niels C. Adams and Martin Hrabě de Angelis and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physiology and PLoS Genetics.

In The Last Decade

Hilary Gates

12 papers receiving 200 citations

Peers

Hilary Gates
Jason Charng Australia
Harry Zwick United States
Maria G. Bañuelos United States
Galina Popova United States
Daniel J. Hiler United States
Tanzila Mukhtar Switzerland
Jason Charng Australia
Hilary Gates
Citations per year, relative to Hilary Gates Hilary Gates (= 1×) peers Jason Charng

Countries citing papers authored by Hilary Gates

Since Specialization
Citations

This map shows the geographic impact of Hilary Gates'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 Hilary Gates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hilary Gates more than expected).

Fields of papers citing papers by Hilary Gates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hilary Gates. 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 Hilary Gates. The network helps show where Hilary Gates may publish in the future.

Co-authorship network of co-authors of Hilary Gates

This figure shows the co-authorship network connecting the top 25 collaborators of Hilary Gates. A scholar is included among the top collaborators of Hilary Gates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hilary Gates. Hilary Gates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Salehi, Roya, et al.. (2025). Next-generation metabolic models informed by biomolecular simulations. Current Opinion in Biotechnology. 92. 103259–103259. 2 indexed citations
2.
Gates, Hilary, et al.. (2025). AstraMEV (AI-Guided Structural Assembly of Multi-Epitope Vaccines) Against Infectious Bronchitis Virus. Journal of Chemical Information and Modeling. 65(21). 12068–12087.
3.
Codner, Gemma, Adam Caulder, Skevoulla Christou, et al.. (2024). Long-read sequencing for fast and robust identification of correct genome-edited alleles: PCR-based and Cas9 capture methods. PLoS Genetics. 20(3). e1011187–e1011187. 3 indexed citations
4.
Gates, Hilary, Ann‐Marie Mallon, & Steve D.M. Brown. (2010). High-throughput mouse phenotyping. Methods. 53(4). 394–404. 24 indexed citations
5.
Morgan, Hugh W., Tim Beck, Andrew Blake, et al.. (2009). EuroPhenome: a repository for high-throughput mouse phenotyping data. Nucleic Acids Research. 38(suppl_1). D577–D585. 51 indexed citations
6.
Warren, Madhuri, Pierre Dubus, Laurence Fiette, et al.. (2008). An impending crisis in the provision of histopathology expertise for mouse functional genomics. The Journal of Pathology. 217(1). 4–13. 7 indexed citations
7.
Brown, Steve D.M., John M. Hancock, & Hilary Gates. (2006). Understanding Mammalian Genetic Systems: The Challenge of Phenotyping in the Mouse. PLoS Genetics. 2(8). e118–e118. 65 indexed citations
8.
Gates, Hilary & William J. Betz. (1993). Spatial distribution of muscle fibers in a lumbrical muscle of the rat. The Anatomical Record. 236(2). 381–389. 9 indexed citations
9.
Gates, Hilary & R M Ridge. (1992). The importance of competition between motoneurones in developing rat muscle; effects of partial denervation at birth.. The Journal of Physiology. 445(1). 457–472. 14 indexed citations
10.
Gates, Hilary, R M Ridge, & A Rowlerson. (1991). Motor units of the fourth deep lumbrical muscle of the adult rat: isometric contractions and fibre type compositions.. The Journal of Physiology. 443(1). 193–215. 21 indexed citations
11.
Gates, Hilary. (1985). A directory of library and information retrieval software for microcomputers. Gower eBooks. 4 indexed citations
12.
Gates, Hilary, et al.. (1985). Library software for microcomputers. Program electronic library and information systems. 19(1). 1–19. 7 indexed citations
13.
Gates, Hilary. (1984). Automation in the Cairns: progress report of a British library project. Health Libraries Review. 1(1). 8–10. 1 indexed citations
14.
Gates, Hilary. (1984). Factors to consider in choosing a microcomputer for library housekeeping and information retrieval in a small library: experience in the Cairns Library. Program electronic library and information systems. 18(2). 111–123. 2 indexed citations

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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