Matthew Elliott
Impact in
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- Aging top 10%
Papers in
-
- Mental Health Research Topics 7
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 6
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- Autism Spectrum Disorder Research 4
- Co-authors
- Jenny BainPhilip CohenHilary McLauchlanFlavio MeggioLorenzo A. PinnaMario A. PaganoStefania SarnoMaria Ruzzene
- Journals
- Biochemical Journal (5 papers)Biological Psychiatry (3 papers)Frontiers in Psychiatry (2 papers)Journal of Abnormal Psychology (2 papers)Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Matthew Elliott
30 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.8k
- Aging 37
- Cell Biology 285
- Toxicology 58
- Oncology 457
Countries citing papers authored by Matthew Elliott
This map shows the geographic impact of Matthew 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 Matthew Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Elliott more than expected).
Fields of papers citing papers by Matthew Elliott
This network shows the impact of papers produced by Matthew 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 Matthew Elliott. The network helps show where Matthew Elliott may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 28 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 58 | |
| 15 | 2018 | 6 | |
| 16 | 2011 | 90 | |
| 17 | 2011 | 16 | |
| 18 | 2006 | 115 | |
| 19 | 2004 | 217 | |
| 20 | 2001 | 4 |
About Matthew Elliott
Matthew Elliott is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Applied Psychology, Clinical Psychology and Genetics, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Mental Health Research Topics (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Autism Spectrum Disorder Research (4 papers), Attention Deficit Hyperactivity Disorder (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Aging (37 citations), Cell Biology (285 citations), Toxicology (58 citations) and Oncology (457 citations). Matthew Elliott has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jenny Bain, Philip Cohen, Hilary McLauchlan, Flavio Meggio, Lorenzo A. Pinna, Mario A. Pagano, Stefania Sarno, Maria Ruzzene, Graham Rena and Giorgio Cozza. Their work appears in journals such as Biochemical Journal, Biological Psychiatry, Frontiers in Psychiatry, Journal of Abnormal Psychology and Biological Psychiatry Cognitive Neuroscience and Neuroimaging.
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.