K. Rudge
Impact in
- Biotechnology top 1%
- Cancer Research and Treatments
- Oncology top 2%
- Cancer-related Molecular Pathways
- Polyomavirus and related diseases
Papers in
- Co-authors
- John R. Jenkins (6 shared papers)G A Currie (2 shared papers)Christine M. Addison (5 shared papers)Peter M. Chumakov (2 shared papers)Ruth Brain (4 shared papers)Antony W. Braithwaite (1 shared paper)Toivo Maimets (2 shared papers)H W Stürzbecher (2 shared papers)
- Journals
- Nature (3 papers)Current topics in microbiology and immunology (1 paper)Nucleic Acids Research (1 paper)PubMed (3 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
K. Rudge
8 papers receiving 1.2k citations
K. Rudge's Hit Papers
Peers
Comparison fields: 5 of 61
- Biotechnology 366
- Oncology 1.0k
- Genetics 379
- Molecular Biology 790
- Cancer Research 159
Countries citing papers authored by K. Rudge
This map shows the geographic impact of K. Rudge'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 K. Rudge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Rudge more than expected).
Fields of papers citing papers by K. Rudge
This network shows the impact of papers produced by K. Rudge. 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 K. Rudge. The network helps show where K. Rudge may publish in the future.
Co-authors
The 15 scholars most cited alongside K. Rudge, 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 | Cellular immortalization by a cDNA clone encoding the transformation-associated phosphoprotein p53 Hit paper breakdown → | 1984 | 506 |
| 2 | 1987 | 185 | |
| 3 | A C-terminal alpha-helix plus basic region motif is the major structural determinant of p53 tetramerization. | 1992 | 172 |
| 4 | 1985 | 164 | |
| 5 | p53 interacts with p34cdc2 in mammalian cells: implications for cell cycle control and oncogenesis. | 1990 | 146 |
| 6 | 1984 | 83 | |
| 7 | Mouse p53 blocks SV40 DNA replication in vitro and downregulates T antigen DNA helicase activity. | 1988 | 58 |
| 8 | 1989 | 1 |
About K. Rudge
K. Rudge is a scholar working on Oncology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Virus-based gene therapy research (3 papers), DNA Repair Mechanisms (2 papers), Animal Genetics and Reproduction (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Polyomavirus and related diseases (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Biotechnology (366 citations), Oncology (1.0k citations), Genetics (379 citations), Molecular Biology (790 citations) and Cancer Research (159 citations). K. Rudge has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include John R. Jenkins, G A Currie, Christine M. Addison, Peter M. Chumakov, Ruth Brain, Antony W. Braithwaite, Toivo Maimets, H W Stürzbecher, Maido Remm and M. Grimaldi. Their work appears in journals such as Nature, Current topics in microbiology and immunology, Nucleic Acids Research and PubMed.
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.