Matt Elliott
Impact in
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
- Metabolism, Diabetes, and Cancer
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
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- Law, Economics, and Judicial Systems 1
- Co-authors
- C. James Hastie (1 shared paper)Iva Klevernic (1 shared paper)Hilary McLauchlan (1 shared paper)Philip Cohen (1 shared paper)Dario R. Alessi (1 shared paper)Natalia Shpiro (1 shared paper)J. Simon C. Arthur (1 shared paper)Jenny Bain (1 shared paper)
- Journals
- Biochemical Journal (1 paper)Water Science & Technology (1 paper)Journal of the European Economic Association (1 paper)The Review of Economic Studies (1 paper)Economics Letters (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Matt Elliott
6 papers receiving 2.2k citations
Matt Elliott's Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.4k
- Cell Biology 260
- Oncology 328
- Cancer Research 154
- Immunology 218
Countries citing papers authored by Matt Elliott
This map shows the geographic impact of Matt Elliott'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 Matt Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Elliott more than expected).
Fields of papers citing papers by Matt Elliott
This network shows the impact of papers produced by Matt Elliott. 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 Matt Elliott. The network helps show where Matt Elliott may publish in the future.
Co-authors
The 18 scholars most cited alongside Matt Elliott, 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 | The selectivity of protein kinase inhibitors: a further update Hit paper breakdown → | 2007 | 2123 |
| 2 | 2021 | 69 | |
| 3 | 2017 | 22 | |
| 4 | 2020 | 11 | |
| 5 | Upskilling Older Workers | 2008 | 8 |
| 6 | 2020 | 4 |
About Matt Elliott
Matt Elliott is a scholar working on Economics and Econometrics, Sociology and Political Science, Safety Research, Molecular Biology and Pollution, having authored 6 papers that have together received 2.2k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (2 papers), Agricultural risk and resilience (1 paper), Water Treatment and Disinfection (1 paper), COVID-19 epidemiological studies (1 paper), Law, Economics, and Judicial Systems (1 paper), Microtubule and mitosis dynamics (1 paper), Financial Literacy, Pension, Retirement Analysis (1 paper) and Retirement, Disability, and Employment (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Cell Biology (260 citations), Oncology (328 citations), Cancer Research (154 citations) and Immunology (218 citations). Matt Elliott has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include C. James Hastie, Iva Klevernic, Hilary McLauchlan, Philip Cohen, Dario R. Alessi, Natalia Shpiro, J. Simon C. Arthur, Jenny Bain, Marina Agranov and Pietro Ortoleva. Their work appears in journals such as Biochemical Journal, Water Science & Technology, Journal of the European Economic Association, The Review of Economic Studies and Economics Letters.
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.