D. C. Pim
Impact in
- Oncology top 1%
- Cancer-related Molecular Pathways
- Polyomavirus and related diseases
- Biotechnology top 1%
- Cancer Research and Treatments
Papers in
- Co-authors
- Lionel Vivian Crawford (8 shared papers)Ed Harlow (2 shared papers)Lawrence Banks (13 shared papers)Lionel Crawford (5 shared papers)Greg Matlashewski (7 shared papers)R.D. Bulbrook (1 shared paper)Peter Lamb (3 shared papers)Samuel Benchimol (2 shared papers)
- Journals
- The EMBO Journal (4 papers)Journal of General Virology (3 papers)Molecular and Cellular Biology (2 papers)Oncogene (2 papers)Journal of Virology (2 papers)
- Partner nations
- ItalyUnited KingdomCanada
In The Last Decade
D. C. Pim
23 papers receiving 3.6k citations
D. C. Pim's Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 2.1k
- Biotechnology 518
- Genetics 1.1k
- Cancer Research 408
- Epidemiology 896
Countries citing papers authored by D. C. Pim
This map shows the geographic impact of D. C. Pim'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 D. C. Pim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. C. Pim more than expected).
Fields of papers citing papers by D. C. Pim
This network shows the impact of papers produced by D. C. Pim. 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 D. C. Pim. The network helps show where D. C. Pim may publish in the future.
Co-authors
The 25 scholars most cited alongside D. C. Pim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Monoclonal antibodies specific for simian virus 40 tumor antigens Hit paper breakdown → | 1981 | 1054 |
| 2 | 1987 | 429 | |
| 3 | 1982 | 402 | |
| 4 | 1988 | 283 | |
| 5 | 1984 | 234 | |
| 6 | 1981 | 216 | |
| 7 | Human papillomavirus type 16 E5 gene stimulates the transforming activity of the epidermal growth factor receptor. | 1992 | 202 |
| 8 | 1982 | 152 | |
| 9 | 2008 | 149 | |
| 10 | 1994 | 142 | |
| 11 | 1981 | 107 | |
| 12 | The cellular protein p53 in human tumours. | 1984 | 92 |
| 13 | 1997 | 80 | |
| 14 | 2010 | 64 | |
| 15 | 1987 | 59 | |
| 16 | Induction of apoptosis by p53 is independent of its oligomeric state and can be abolished by HPV-18 E6 through ubiquitin mediated degradation. | 1996 | 58 |
| 17 | DNA damage induced p53 mediated transcription is inhibited by human papillomavirus type 18 E6. | 1994 | 42 |
| 18 | 1987 | 27 | |
| 19 | 1980 | 24 | |
| 20 | 1991 | 17 |
About D. C. Pim
D. C. Pim is a scholar working on Oncology, Genetics, Epidemiology, Biotechnology and Animal Science and Zoology, having authored 23 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (11 papers), Cancer-related Molecular Pathways (10 papers), Virus-based gene therapy research (10 papers), RNA modifications and cancer (3 papers), Polyomavirus and related diseases (3 papers), Animal Virus Infections Studies (2 papers), Cancer Research and Treatments (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Oncology (2.1k citations), Biotechnology (518 citations), Genetics (1.1k citations), Cancer Research (408 citations) and Epidemiology (896 citations). D. C. Pim has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Lionel Vivian Crawford, Ed Harlow, Lawrence Banks, Lionel Crawford, Greg Matlashewski, R.D. Bulbrook, Peter Lamb, Samuel Benchimol, Alan Storey and Johannes Schneider. Their work appears in journals such as The EMBO Journal, Journal of General Virology, Molecular and Cellular Biology, Oncogene and Journal of Virology.
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.