Matthew Brook
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
Papers in
-
- RNA Research and Splicing 12
- RNA regulation and disease 4
- RNA modifications and cancer 4
- Melanoma and MAPK Pathways 3
- Cancer-related gene regulation 3
- RNA and protein synthesis mechanisms 3
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- NF-κB Signaling Pathways 3
- Co-authors
- Andrew R. Clark (8 shared papers)Jeremy Saklatvala (7 shared papers)Jonathan L. E. Dean (3 shared papers)Gareth Sully (2 shared papers)Nicola K. Gray (10 shared papers)Kamal R Mahtani (1 shared paper)Marina Lasa (1 shared paper)Edward Hitti (1 shared paper)
- Journals
- Molecular and Cellular Biology (4 papers)Biochemical Society Transactions (3 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical Journal (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Matthew Brook
20 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 587
- Immunology 592
- Molecular Biology 1.6k
- Oncology 473
- Pharmacology 298
Countries citing papers authored by Matthew Brook
This map shows the geographic impact of Matthew Brook'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 Brook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Brook more than expected).
Fields of papers citing papers by Matthew Brook
This network shows the impact of papers produced by Matthew Brook. 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 Brook. The network helps show where Matthew Brook may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Brook, 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 | 1999 | 470 | |
| 2 | 2001 | 401 | |
| 3 | 2006 | 350 | |
| 4 | 2001 | 228 | |
| 5 | 2006 | 227 | |
| 6 | 2000 | 197 | |
| 7 | 1998 | 194 | |
| 8 | 2004 | 136 | |
| 9 | 2009 | 90 | |
| 10 | 2016 | 69 | |
| 11 | 2011 | 49 | |
| 12 | 2010 | 44 | |
| 13 | 2011 | 43 | |
| 14 | 2012 | 37 | |
| 15 | 2012 | 36 | |
| 16 | 2010 | 35 | |
| 17 | 2012 | 26 | |
| 18 | 2015 | 16 | |
| 19 | 2010 | 3 | |
| 20 | 2024 | 2 |
About Matthew Brook
Matthew Brook is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Immunology and Oncology, having authored 20 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA regulation and disease (4 papers), RNA modifications and cancer (4 papers), NF-κB Signaling Pathways (3 papers), Melanoma and MAPK Pathways (3 papers), Inflammatory mediators and NSAID effects (3 papers), Cancer-related gene regulation (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (587 citations), Immunology (592 citations), Molecular Biology (1.6k citations), Oncology (473 citations) and Pharmacology (298 citations). Matthew Brook has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Andrew R. Clark, Jeremy Saklatvala, Jonathan L. E. Dean, Gareth Sully, Nicola K. Gray, Kamal R Mahtani, Marina Lasa, Edward Hitti, Danuta Radzioch and Tatiana Iakovleva. Their work appears in journals such as Molecular and Cellular Biology, Biochemical Society Transactions, Proceedings of the National Academy of Sciences, Biochemical Journal and Journal of Biological Chemistry.
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.