Linette Ruston
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Biochemical and Molecular Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Fibroblast Growth Factor Research 1
- Genetics 3
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- J. Matthew Wood (3 shared papers)Philip A. MacFaul (3 shared papers)Nicola Colclough (2 shared papers)David A. Cosgrove (1 shared paper)Huw Jones (1 shared paper)Peter W. Kenny (1 shared paper)Brian K. Law (1 shared paper)Andrew G. Leach (1 shared paper)
- Journals
- Cancer Research (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)MedChemComm (2 papers)Journal of Medicinal Chemistry (2 papers)European Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Linette Ruston
13 papers receiving 506 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 160
- Pharmacology 41
- Molecular Biology 301
- Genetics 31
- Organic Chemistry 88
Countries citing papers authored by Linette Ruston
This map shows the geographic impact of Linette Ruston'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 Linette Ruston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linette Ruston more than expected).
Fields of papers citing papers by Linette Ruston
This network shows the impact of papers produced by Linette Ruston. 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 Linette Ruston. The network helps show where Linette Ruston may publish in the future.
Co-authors
The 25 scholars most cited alongside Linette Ruston, 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 | 207 | |
| 2 | 2013 | 172 | |
| 3 | 2014 | 54 | |
| 4 | 2015 | 27 | |
| 5 | 2010 | 18 | |
| 6 | 2024 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2015 | 9 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2012 | 2 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 0 |
About Linette Ruston
Linette Ruston is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 14 papers that have together received 532 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Computational Drug Discovery Methods (2 papers), Biochemical and Molecular Research (2 papers), Analytical Chemistry and Chromatography (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (160 citations), Pharmacology (41 citations), Molecular Biology (301 citations), Genetics (31 citations) and Organic Chemistry (88 citations). Linette Ruston has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include J. Matthew Wood, Philip A. MacFaul, Nicola Colclough, David A. Cosgrove, Huw Jones, Peter W. Kenny, Brian K. Law, Andrew G. Leach, Kurt G. Pike and Martin Pass. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, MedChemComm, Journal of Medicinal Chemistry and European Journal of Pharmaceutical Sciences.
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.