Phillip Shaw
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Biotechnology top 2%
- Cancer Research and Treatments
Papers in
-
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Molecular Biology Techniques and Applications 3
- RNA and protein synthesis mechanisms 3
- Cancer-related gene regulation 3
- Oncology 9
- Cancer-related Molecular Pathways 7
- Co-authors
- Petar Jelinic (2 shared papers)Sébastien Tardy (2 shared papers)Bernard Sordat (2 shared papers)Roland Sahli (2 shared papers)R Bovey (1 shared paper)Judite Costa (1 shared paper)Nicholas D. Hastie (3 shared papers)William A. Held (1 shared paper)
- Journals
- Cell (2 papers)Journal of Molecular Biology (2 papers)Oncogene (2 papers)Molecular and Cellular Biology (1 paper)Pathobiology (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Phillip Shaw
24 papers receiving 2.2k citations
Phillip Shaw's Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 849
- Biotechnology 235
- Cancer Research 338
- Molecular Biology 1.5k
- Genetics 373
Countries citing papers authored by Phillip Shaw
This map shows the geographic impact of Phillip Shaw'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 Phillip Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Shaw more than expected).
Fields of papers citing papers by Phillip Shaw
This network shows the impact of papers produced by Phillip Shaw. 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 Phillip Shaw. The network helps show where Phillip Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Phillip Shaw, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Induction of apoptosis by wild-type p53 in a human colon tumor-derived cell line. Hit paper breakdown → | 1992 | 742 |
| 2 | 2006 | 170 | |
| 3 | 1983 | 162 | |
| 4 | 2006 | 155 | |
| 5 | 2002 | 147 | |
| 6 | 2001 | 147 | |
| 7 | 1984 | 128 | |
| 8 | 1996 | 109 | |
| 9 | 2001 | 73 | |
| 10 | Occurrence of Ki-ras and p53 mutations in primary colorectal tumors. | 1991 | 64 |
| 11 | 1985 | 59 | |
| 12 | 1997 | 58 | |
| 13 | 1979 | 36 | |
| 14 | 2000 | 35 | |
| 15 | Frequent p16INK4 (MTS1) gene inactivation in testicular germ cell tumors. | 1997 | 33 |
| 16 | 1986 | 31 | |
| 17 | 1986 | 30 | |
| 18 | 2005 | 26 | |
| 19 | 2008 | 22 | |
| 20 | 2000 | 15 |
About Phillip Shaw
Phillip Shaw is a scholar working on Molecular Biology, Oncology, Genetics, Surgery and Cancer Research, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Molecular Biology Techniques and Applications (3 papers), Genetic Syndromes and Imprinting (3 papers), RNA and protein synthesis mechanisms (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Oncology (849 citations), Biotechnology (235 citations), Cancer Research (338 citations), Molecular Biology (1.5k citations) and Genetics (373 citations). Phillip Shaw has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Petar Jelinic, Sébastien Tardy, Bernard Sordat, Roland Sahli, R Bovey, Judite Costa, Nicholas D. Hastie, William A. Held, Robert E. Hill and Pascal Chaubert. Their work appears in journals such as Cell, Journal of Molecular Biology, Oncogene, Molecular and Cellular Biology and Pathobiology.
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.