David Pim

4.3k citations
40 papers · 3.1k indexed · 1 hit paper · h-index 25

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies

Papers in

    • Cancer-related Molecular Pathways 17
    • Viral-associated cancers and disorders 7
    • Cervical Cancer and HPV Research 15
    • Hepatitis B Virus Studies 9
    • Virology and Viral Diseases 4

David Pim

40 papers receiving 3.0k citations

Hit Papers

Two Polymorphic Variants of Wild-Type p53 Differ Biochemically and Biologically 1999 · 603 citations
6031999202620082017200400600

Peers

David Pim
Comparison fields: 5 of 89
  • Oncology 1.5k
  • Epidemiology 1.2k
  • Cancer Research 507
  • Otorhinolaryngology 119
  • Molecular Biology 1.6k
Replace Miranda Thomas with:
Miranda Thomas Italy
Carole Yee United States
Karin Butz Germany
G W Demers United States
Joe S. Mymryk Canada
Martin J. Allday United Kingdom
D. Pim Italy
Cary A. Moody United States
L. Crawford United Kingdom
Carl C. Baker United States
David Pim relative to Miranda Thomas Italy Miranda Thomas's profile →
Citations per field
00.5×1.5×
Miranda Thomas · 1×
Citations per year

Countries citing papers authored by David Pim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with David Pim Line = papers co-authored together David Pim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201723
2 201644
3 201313
4 201250
5 201263
6 201272
7 2010115
8 20109
9 2005152
10 200425
11 2003341
12 200229
13 200192
14 200085
15 200043
16
Two Polymorphic Variants of Wild-Type p53 Differ Biochemically and Biologically
Hit paper breakdown →
1999603
17 199971
18 1999354
19 199976
20 1997102

About David Pim

David Pim is a scholar working on Oncology, Epidemiology, Cell Biology, Genetics and Biotechnology, having authored 40 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (17 papers), Cervical Cancer and HPV Research (15 papers), Virus-based gene therapy research (11 papers), Hepatitis B Virus Studies (9 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 (1.5k citations), Epidemiology (1.2k citations), Cancer Research (507 citations), Otorhinolaryngology (119 citations) and Molecular Biology (1.6k 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 Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026