David Pim
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Epidemiology top 2%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
Papers in
- Oncology 24
- Cancer-related Molecular Pathways 18
- Viral-associated cancers and disorders 7
- Epidemiology 24
- Cervical Cancer and HPV Research 18
- Hepatitis B Virus Studies 10
- Virology and Viral Diseases 4
- Co-authors
- Lawrence Banks (43 shared papers)Miranda Thomas (16 shared papers)Paola Massimi (19 shared papers)Greg Matlashewski (2 shared papers)Sylvie Labrecque (1 shared paper)Ann Kalita (1 shared paper)Vjekoslav Tomaić (8 shared papers)Stephen M. Dilworth (1 shared paper)
- Journals
- Oncogene (8 papers)Journal of Virology (7 papers)Virology (3 papers)International Journal of Cancer (2 papers)The EMBO Journal (1 paper)
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
David Pim
44 papers receiving 3.1k citations
David Pim's Hit Papers
Peers
Comparison fields: 5 of 87
- Oncology 1.4k
- Epidemiology 1.2k
- Cancer Research 435
- Otorhinolaryngology 98
- Molecular Biology 1.4k
Countries citing papers authored by David Pim
This map shows the geographic impact of David 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 David Pim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pim more than expected).
Fields of papers citing papers by David Pim
This network shows the impact of papers produced by David 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 David Pim. The network helps show where David Pim may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Two Polymorphic Variants of Wild-Type p53 Differ Biochemically and Biologically Hit paper breakdown → | 1999 | 614 |
| 2 | 1999 | 372 | |
| 3 | 2003 | 347 | |
| 4 | 2005 | 157 | |
| 5 | 1986 | 128 | |
| 6 | 2010 | 126 | |
| 7 | 2015 | 107 | |
| 8 | 1997 | 107 | |
| 9 | 2001 | 99 | |
| 10 | 2003 | 97 | |
| 11 | 2000 | 90 | |
| 12 | 1999 | 80 | |
| 13 | 2012 | 77 | |
| 14 | 1999 | 74 | |
| 15 | 2012 | 67 | |
| 16 | 2009 | 66 | |
| 17 | 2015 | 58 | |
| 18 | 2011 | 55 | |
| 19 | 2012 | 54 | |
| 20 | 2009 | 49 |
About David Pim
David Pim is a scholar working on Oncology, Epidemiology, Molecular Biology, Genetics and Cell Biology, having authored 44 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (18 papers), Cancer-related Molecular Pathways (18 papers), Virus-based gene therapy research (12 papers), Hepatitis B Virus Studies (10 papers), Viral-associated cancers and disorders (7 papers), Ubiquitin and proteasome pathways (6 papers), Virology and Viral Diseases (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Oncology (1.4k citations), Epidemiology (1.2k citations), Cancer Research (435 citations), Otorhinolaryngology (98 citations) and Molecular Biology (1.4k citations). David Pim has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Lawrence Banks, Miranda Thomas, Paola Massimi, Greg Matlashewski, Sylvie Labrecque, Ann Kalita, Vjekoslav Tomaić, Stephen M. Dilworth, Justyna Broniarczyk and L. Crawford. Their work appears in journals such as Oncogene, Journal of Virology, Virology, International Journal of Cancer and The EMBO Journal.
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.