Mathew J. Garnett
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Computational Theory and Mathematics top 0.2%
- Co-authors
- Richard MaraisUltan McDermottDavid BarfordCyril H. BenesHoward LightfootChristopher J. MarshallDan Niculescu‐DuvazPaul Wan
- Topics
- Cancer Genomics and Diagnostics (21 papers)CRISPR and Genetic Engineering (13 papers)Computational Drug Discovery Methods (13 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Mathew J. Garnett
83 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 7.1k
- Oncology 3.1k
- Cancer Research 1.9k
- Pulmonary and Respiratory Medicine 1.7k
- Computational Theory and Mathematics 1.5k
Countries citing papers authored by Mathew J. Garnett
This map shows the geographic impact of Mathew J. Garnett'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 Mathew J. Garnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew J. Garnett more than expected).
Fields of papers citing papers by Mathew J. Garnett
This network shows the impact of papers produced by Mathew J. Garnett. 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 Mathew J. Garnett. The network helps show where Mathew J. Garnett may publish in the future.
Co-authorship network of co-authors of Mathew J. Garnett
This figure shows the co-authorship network connecting the top 25 collaborators of Mathew J. Garnett. A scholar is included among the top collaborators of Mathew J. Garnett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathew J. Garnett. Mathew J. Garnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 24 | |
| 8 | 145 | |
| 9 | 24 | |
| 10 | 48 | |
| 11 | 22 | |
| 12 | 16 | |
| 13 | 53 | |
| 14 | 107 | |
| 15 | 41 | |
| 16 | 73 | |
| 17 | 62 | |
| 18 | 54 | |
| 19 | Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cellsbreakdown → | 2597 |
| 20 | 143 |
About Mathew J. Garnett
Mathew J. Garnett is a scholar working on Cancer Research, Oncology and Computational Theory and Mathematics, having authored 85 papers that have together received 9.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), CRISPR and Genetic Engineering (13 papers) and Computational Drug Discovery Methods (13 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (3.1k citations) and Molecular Biology (7.1k citations). Mathew J. Garnett has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Richard Marais, Ultan McDermott, David Barford, Cyril H. Benes, Howard Lightfoot, Christopher J. Marshall, Dan Niculescu‐Duvaz, Paul Wan, Chris M. Jones and Caroline J. Springer. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.