Matthew Squires
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
-
- Melanoma and MAPK Pathways 11
- Fibroblast Growth Factor Research 9
- Protein Degradation and Inhibitors 9
- Oncology 25
- Cancer-related Molecular Pathways 8
- Co-authors
- Simon J. Cook (3 shared papers)John F. Lyons (11 shared papers)Margaret M. Manson (4 shared papers)E A Hudson (3 shared papers)Neil T. Thompson (10 shared papers)Sally A. Prigent (3 shared papers)Donna-Michelle Smith (3 shared papers)Edward J. Lewis (2 shared papers)
- Journals
- Journal of Clinical Oncology (19 papers)Blood (17 papers)Cancer Research (7 papers)Annals of Oncology (5 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Matthew Squires
70 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 86
- Oncology 725
- Molecular Medicine 121
- Genetics 236
- Hematology 199
- Molecular Biology 1.1k
Countries citing papers authored by Matthew Squires
This map shows the geographic impact of Matthew Squires'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 Squires with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Squires more than expected).
Fields of papers citing papers by Matthew Squires
This network shows the impact of papers produced by Matthew Squires. 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 Squires. The network helps show where Matthew Squires may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Squires, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 173 | |
| 2 | 2009 | 139 | |
| 3 | 2010 | 120 | |
| 4 | 2017 | 95 | |
| 5 | 2002 | 95 | |
| 6 | 2020 | 89 | |
| 7 | 2000 | 88 | |
| 8 | 2014 | 86 | |
| 9 | 2014 | 86 | |
| 10 | 2011 | 78 | |
| 11 | 2007 | 75 | |
| 12 | 2021 | 73 | |
| 13 | 2014 | 62 | |
| 14 | 2010 | 57 | |
| 15 | 2011 | 53 | |
| 16 | 2014 | 51 | |
| 17 | 2010 | 51 | |
| 18 | 2016 | 49 | |
| 19 | 2011 | 47 | |
| 20 | 2010 | 43 |
About Matthew Squires
Matthew Squires is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Hematology, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Microtubule and mitosis dynamics (9 papers), Fibroblast Growth Factor Research (9 papers), Protein Degradation and Inhibitors (9 papers), Cancer Genomics and Diagnostics (8 papers), Cancer-related Molecular Pathways (8 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Oncology (725 citations), Molecular Medicine (121 citations), Genetics (236 citations), Hematology (199 citations) and Molecular Biology (1.1k citations). Matthew Squires has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Simon J. Cook, John F. Lyons, Margaret M. Manson, E A Hudson, Neil T. Thompson, Sally A. Prigent, Donna-Michelle Smith, Edward J. Lewis, Lynne Howells and Nicola G. Wallis. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer Research, Annals of Oncology and Molecular Cancer Therapeutics.
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.