Tim Crook
- Oncology top 0.2%
- Cancer-related Molecular Pathways 40
- Cancer Research top 0.5%
- Biotechnology top 0.2%
- Cancer Research and Treatments 16
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 26
- RNA modifications and cancer 17
- Ubiquitin and proteasome pathways 11
- Cancer-related gene regulation 11
- Epidemiology top 1%
- Cervical Cancer and HPV Research 14
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- Virus-based gene therapy research 12
- Co-authors
- Milena GascoKaren H. VousdenNelofer SyedJohn TidyXin LüDaniele BergamaschiMartin J. AlldayOrnella Garrone
- Cited by
- OncologyCancer ResearchBiotechnology
- Partner nations
- United KingdomItalyGreece
In The Last Decade
Tim Crook
118 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Oncology 5.2k
- Cancer Research 2.3k
- Biotechnology 1.3k
- Molecular Biology 6.5k
- Epidemiology 2.4k
Countries citing papers authored by Tim Crook
This map shows the geographic impact of Tim Crook'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 Tim Crook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Crook more than expected).
Fields of papers citing papers by Tim Crook
This network shows the impact of papers produced by Tim Crook. 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 Tim Crook. The network helps show where Tim Crook may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim Crook, 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 | 2018 | 11 | |
| 2 | 2018 | 10 | |
| 3 | 2018 | 22 | |
| 4 | 2018 | 9 | |
| 5 | 2014 | 30 | |
| 6 | 2011 | 49 | |
| 7 | 2010 | 25 | |
| 8 | 2009 | 11 | |
| 9 | 2008 | 271 | |
| 10 | 2006 | 212 | |
| 11 | 2005 | 94 | |
| 12 | 2003 | 39 | |
| 13 | 2002 | 67 | |
| 14 | 2002 | 30 | |
| 15 | ASPP Proteins Specifically Stimulate the Apoptotic Function of p53breakdown → | 2001 | 517 |
| 16 | 1996 | 34 | |
| 17 | Interaction of p53 with MDM2 is independent of E6 and does not mediate wild type transformation suppressor function. | 1994 | 57 |
| 18 | 1994 | 34 | |
| 19 | 1993 | 27 | |
| 20 | Lack of immortalizing activity of a human papillomavirus type 16 variant DNA with a mutation in the E2 gene isolated from normal human cervical keratinocytes. | 1992 | 16 |
About Tim Crook
Tim Crook is a scholar working on Oncology, Biotechnology, Cancer Research, Molecular Biology and Genetics, having authored 120 papers that have together received 11.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (40 papers), Epigenetics and DNA Methylation (26 papers), RNA modifications and cancer (17 papers), Cancer Research and Treatments (16 papers), Cervical Cancer and HPV Research (14 papers), Virus-based gene therapy research (12 papers), Ubiquitin and proteasome pathways (11 papers) and Cancer-related gene regulation (11 papers). The work is most often cited by research in Oncology (5.2k citations), Cancer Research (2.3k citations), Biotechnology (1.3k citations), Molecular Biology (6.5k citations) and Epidemiology (2.4k citations). Tim Crook has collaborated with scholars based in United Kingdom, Italy and Greece. Frequent co-authors include Milena Gasco, Karen H. Vousden, Nelofer Syed, John Tidy, Xin Lü, Daniele Bergamaschi, Martin J. Allday, Ornella Garrone, Paul Smith and Giuseppe Trigiante. Their work appears in journals such as British Journal of Cancer, Oncogene, Cell Death and Disease, Cell and Cancer Research.
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.