Ross A. McKinnon
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism 66
- Oncology top 1%
- Drug Transport and Resistance Mechanisms 28
- Cancer Immunotherapy and Biomarkers 11
- Cancer Treatment and Pharmacology 11
- Cancer Research top 2%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 10
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- Computational Drug Discovery Methods 14
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- Analytical Chemistry and Chromatography 11
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- Lung Cancer Treatments and Mutations 11
- Co-authors
- Michael J. SorichJohn O. MinersPeter I. MackenzieAndrew RowlandGanessan KichenadasseMichael D. WieseDaniel W. NebertRobyn Meech
- Cited by
- PharmacologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ross A. McKinnon
215 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Pharmacology 1.8k
- Oncology 2.0k
- Cancer Research 858
- Molecular Biology 2.3k
- Pathology and Forensic Medicine 487
Countries citing papers authored by Ross A. McKinnon
This map shows the geographic impact of Ross A. McKinnon'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 Ross A. McKinnon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross A. McKinnon more than expected).
Fields of papers citing papers by Ross A. McKinnon
This network shows the impact of papers produced by Ross A. McKinnon. 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 Ross A. McKinnon. The network helps show where Ross A. McKinnon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ross A. McKinnon, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 32 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2019 | 39 | |
| 17 | 2016 | 12 | |
| 18 | 2015 | 25 | |
| 19 | 2005 | 44 | |
| 20 | Pharmacology and Drug Information for Nurses | 1995 | 0 |
About Ross A. McKinnon
Ross A. McKinnon is a scholar working on Pharmacology, Oncology and Geriatrics and Gerontology, having authored 224 papers that have together received 6.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (66 papers), Drug Transport and Resistance Mechanisms (28 papers), Computational Drug Discovery Methods (14 papers), Analytical Chemistry and Chromatography (11 papers), Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Treatments and Mutations (11 papers), Cancer Treatment and Pharmacology (11 papers) and Epigenetics and DNA Methylation (10 papers). The work is most often cited by research in Pharmacology (1.8k citations), Oncology (2.0k citations) and Cancer Research (858 citations). Ross A. McKinnon has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael J. Sorich, John O. Miners, Peter I. Mackenzie, Andrew Rowland, Ganessan Kichenadasse, Michael D. Wiese, Daniel W. Nebert, Robyn Meech, Christos S. Karapetis and Dong Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.