A Currie
- Molecular Biology top 0.1%
- Protein Kinase Regulation and GTPase Signaling 14
- Metabolomics and Mass Spectrometry Studies 9
- PI3K/AKT/mTOR signaling in cancer 7
- Immunology top 0.2%
- Cancer Research top 0.5%
- Aging top 1%
- Cell Biology top 0.2%
- Cellular transport and secretion 8
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- Pharmacogenetics and Drug Metabolism 7
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- Computational Drug Discovery Methods 7
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- Estrogen and related hormone effects 7
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- Growth Hormone and Insulin-like Growth Factors 7
- Co-authors
- J. F. R. KerrA H WyllieDario R. AlessiC. Peter DownesMária DeákAntonio CasamayorSimon DOWLERGursant Kular
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
A Currie
132 papers receiving 22.7k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Molecular Biology 14.9k
- Immunology 4.5k
- Cancer Research 2.2k
- Aging 236
- Cell Biology 2.2k
Countries citing papers authored by A Currie
This map shows the geographic impact of A Currie'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 A Currie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Currie more than expected).
Fields of papers citing papers by A Currie
This network shows the impact of papers produced by A Currie. 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 A Currie. The network helps show where A Currie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A Currie, 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 | 1 | |
| 2 | New approach methodologies (NAMs): identifying and overcoming hurdles to accelerated adoptionbreakdown → | 2024 | 54 |
| 3 | 2023 | 6 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 7 | |
| 11 | 2012 | 44 | |
| 12 | 2010 | 47 | |
| 13 | 2009 | 18 | |
| 14 | 1999 | 107 | |
| 15 | 1999 | 375 | |
| 16 | 1998 | 9 | |
| 17 | 1997 | 30 | |
| 18 | 1996 | 87 | |
| 19 | Cell Death: The Significance of Apoptosisbreakdown → | 1980 | 6193 |
| 20 | 1962 | 30 |
About A Currie
A Currie is a scholar working on Chemical Health and Safety, Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology and Small Animals, having authored 134 papers that have together received 23.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Cellular transport and secretion (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Computational Drug Discovery Methods (7 papers), Estrogen and related hormone effects (7 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Molecular Biology (14.9k citations), Immunology (4.5k citations), Cancer Research (2.2k citations), Aging (236 citations) and Cell Biology (2.2k citations). A Currie has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include J. F. R. Kerr, A H Wyllie, Dario R. Alessi, C. Peter Downes, Mária Deák, Antonio Casamayor, Simon DOWLER, Gursant Kular, Robert G. Roeder and Anudharan Balendran. Their work appears in journals such as Journal of Biological Chemistry, Nature, Biochemical Journal, British Journal of Cancer and Toxicological 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.