David Pim

4.2k citations
46 papers · 3.6k · h-index 27

Impact in

    • Cervical Cancer and HPV Research
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • Cervical Cancer and HPV Research 36
    • Cellular transport and secretion 10
    • Microtubule and mitosis dynamics 1

David Pim

46 papers receiving 3.5k citations

Peers

David Pim
Comparison fields: 5 of 79
  • Epidemiology 1.6k
  • Oncology 744
  • Otorhinolaryngology 179
  • Cell Biology 318
  • Aging 19
Replace Miranda Thomas with:
Miranda Thomas Italy
Dimitry Spitkovsky Germany
Michael Cullen United States
Daniela Gardiol Argentina
G. William Demers United States
G. Bea A. Wisman Netherlands
Bo Zhao United States
Margaret P. Quinlan United States
Brad W. Ozanne United States
Hüseyin Sirma Germany
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-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.

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

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999623
2 1999377
3 2003351
4 2017256
5 2005158
6 1986124
7 2010124
8 2015111
9 1997108
10 200199
11 200399
12 200090
13 199980
14 201280
15 199972
16 200968
17 201267
18 201559
19 201256
20 201155

About David Pim

David Pim is a scholar working on Epidemiology, Cell Biology, Oncology, Molecular Biology and Cancer Research, having authored 46 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (36 papers), Cellular transport and secretion (10 papers), Cancer-related Molecular Pathways (8 papers), Ubiquitin and proteasome pathways (3 papers), Cancer, Hypoxia, and Metabolism (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Epidemiology (1.6k citations), Oncology (744 citations), Otorhinolaryngology (179 citations), Cell Biology (318 citations) and Aging (19 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 Karolina Broniarczyk and Lionel Crawford. Their work appears in journals such as Oncogene, Journal of Virology, Virology, International Journal of Cancer and Journal of Biological Chemistry.

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.

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