Simon Knott
Impact in
- Cancer Research top 5%
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in ⓘ
-
- Cancer Genomics and Diagnostics 4
- Oncology 15
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Gregory J. Hannon (8 shared papers)Oscar M. Aparicio (8 shared papers)Christopher J. Viggiani (6 shared papers)Simon Tavaré (6 shared papers)Jonathan J. Ipsaro (1 shared paper)Astrid D. Haase (1 shared paper)Leemor Joshua‐Tor (1 shared paper)Nicolas Erard (5 shared papers)
- Journals
- Xenobiotica (4 papers)Nature (3 papers)Cancer Research (3 papers)Genes & Development (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Simon Knott
43 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 447
- Molecular Biology 1.5k
- Oncology 424
- Aging 25
- Anesthesiology and Pain Medicine 73
Countries citing papers authored by Simon Knott
This map shows the geographic impact of Simon Knott'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 Simon Knott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Knott more than expected).
Fields of papers citing papers by Simon Knott
This network shows the impact of papers produced by Simon Knott. 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 Simon Knott. The network helps show where Simon Knott may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Knott, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 310 | |
| 2 | 2012 | 253 | |
| 3 | 2021 | 177 | |
| 4 | 2012 | 156 | |
| 5 | 2009 | 105 | |
| 6 | 2021 | 103 | |
| 7 | 2013 | 79 | |
| 8 | 2008 | 74 | |
| 9 | 2020 | 70 | |
| 10 | 2014 | 69 | |
| 11 | 2017 | 60 | |
| 12 | 1991 | 59 | |
| 13 | 2010 | 51 | |
| 14 | 2013 | 50 | |
| 15 | 2017 | 46 | |
| 16 | 2015 | 44 | |
| 17 | 2021 | 42 | |
| 18 | 2014 | 40 | |
| 19 | 2007 | 33 | |
| 20 | 2017 | 33 |
About Simon Knott
Simon Knott is a scholar working on Cancer Research, Oncology, Anesthesiology and Pain Medicine, Molecular Biology and Biochemistry, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), DNA Repair Mechanisms (7 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), Fungal and yeast genetics research (4 papers), CRISPR and Genetic Engineering (4 papers), Cancer Genomics and Diagnostics (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (447 citations), Molecular Biology (1.5k citations), Oncology (424 citations), Aging (25 citations) and Anesthesiology and Pain Medicine (73 citations). Simon Knott has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gregory J. Hannon, Oscar M. Aparicio, Christopher J. Viggiani, Simon Tavaré, Jonathan J. Ipsaro, Astrid D. Haase, Leemor Joshua‐Tor, Nicolas Erard, Elvin Wagenblast and Jared M. Peace. Their work appears in journals such as Xenobiotica, Nature, Cancer Research, Genes & Development and Cell Reports.
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.