Nik Matthews
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 6
- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 2
-
- Cancer Genomics and Diagnostics 6
- Co-authors
- Aengus Stewart (7 shared papers)Stuart Horswell (5 shared papers)Francesco Gualdrini (3 shared papers)Cyril Esnault (3 shared papers)Richard Treisman (3 shared papers)Philip East (6 shared papers)Emma Nye (2 shared papers)Nicolas J. Lehrbach (1 shared paper)
- Journals
- Molecular Cell (3 papers)eLife (3 papers)Cancers (2 papers)Journal of Clinical Oncology (2 papers)Genes & Development (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Nik Matthews
25 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Aging 136
- Cancer Research 414
- Molecular Biology 1.3k
- Oncology 411
- Immunology 233
Countries citing papers authored by Nik Matthews
This map shows the geographic impact of Nik Matthews'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 Nik Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nik Matthews more than expected).
Fields of papers citing papers by Nik Matthews
This network shows the impact of papers produced by Nik Matthews. 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 Nik Matthews. The network helps show where Nik Matthews may publish in the future.
Co-authors
The 25 scholars most cited alongside Nik Matthews, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 319 | |
| 2 | 2014 | 262 | |
| 3 | 2012 | 215 | |
| 4 | 2015 | 178 | |
| 5 | 2016 | 132 | |
| 6 | 2016 | 118 | |
| 7 | 2016 | 99 | |
| 8 | 2014 | 95 | |
| 9 | 2019 | 91 | |
| 10 | 2015 | 66 | |
| 11 | 2020 | 43 | |
| 12 | 2014 | 41 | |
| 13 | 2017 | 39 | |
| 14 | 2017 | 38 | |
| 15 | 2015 | 32 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 22 | |
| 18 | 2014 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2023 | 7 |
About Nik Matthews
Nik Matthews is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (6 papers), Cancer Genomics and Diagnostics (6 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Genetic factors in colorectal cancer (3 papers), Protein Degradation and Inhibitors (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Aging (136 citations), Cancer Research (414 citations), Molecular Biology (1.3k citations), Oncology (411 citations) and Immunology (233 citations). Nik Matthews has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Aengus Stewart, Stuart Horswell, Francesco Gualdrini, Cyril Esnault, Richard Treisman, Philip East, Emma Nye, Nicolas J. Lehrbach, Alexandra Sapetschnig and Leonard D. Goldstein. Their work appears in journals such as Molecular Cell, eLife, Cancers, Journal of Clinical Oncology and Genes & Development.
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.