David Rowe

6.2k citations
88 papers · 4.9k · 1 hit paper · h-index 37

Impact in

Papers in

    • Viral-associated cancers and disorders 62
    • Polyomavirus and related diseases 11
    • CAR-T cell therapy research 10
    • Cytomegalovirus and herpesvirus research 26

David Rowe

88 papers receiving 4.7k citations

David Rowe's Hit Papers

Differences in B cell growth phenotype reflect novel patterns of Epstein‐Barr virus latent gene expression in Burkitt's lymphoma cells. 1987 · 590 citations
5900+13+26Years since publication100200300400500

Peers

David Rowe
Comparison fields: 5 of 90
  • Oncology 3.6k
  • Pathology and Forensic Medicine 1.4k
  • Infectious Diseases 1.2k
  • Epidemiology 1.5k
  • Immunology 874
Replace Mary Hummel with:
Mary Hummel United States
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Andrew D. Hislop United Kingdom
S. Cindy Australia
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Nikolaus Mueller‐Lantzsch Germany
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Jennifer L. Cannons United States
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David Rowe relative to Mary Hummel United States Mary Hummel's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Rowe

Since Specialization
Citations

This map shows the geographic impact of David Rowe'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 Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rowe more than expected).

Fields of papers citing papers by David Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Rowe. 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 Rowe. The network helps show where David Rowe may publish in the future.

Co-authors

The 25 scholars most cited alongside David Rowe, 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 Rowe Line = papers co-authored together David Rowe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Differences in B cell growth phenotype reflect novel patterns of Epstein‐Barr virus latent gene expression in Burkitt's lymphoma cells.
Hit paper breakdown →
1987590
2 1989289
3 1997228
4 2004225
5 1992213
6 1991207
7 1989186
8 1986175
9 1998130
10 2001113
11 1983108
12 2008103
13 200689
14 199987
15 200084
16 200382
17 200677
18 199074
19 197771
20 198369

About David Rowe

David Rowe is a scholar working on Oncology, Epidemiology, Pathology and Forensic Medicine, Infectious Diseases and Molecular Biology, having authored 88 papers that have together received 4.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (62 papers), Cytomegalovirus and herpesvirus research (26 papers), Lymphoma Diagnosis and Treatment (26 papers), Parvovirus B19 Infection Studies (21 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), Virus-based gene therapy research (13 papers), Polyomavirus and related diseases (11 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Oncology (3.6k citations), Pathology and Forensic Medicine (1.4k citations), Infectious Diseases (1.2k citations), Epidemiology (1.5k citations) and Immunology (874 citations). David Rowe has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Paul J. Farrell, L. Qu, Cliona M. Rooney, Martin Rowe, Alan B. Rickinson, Michael Green, Jorgé Reyes, Lawrence S. Young, Christopher D. Gregory and Philip E. Branton. Their work appears in journals such as Journal of Virology, Transplantation, Virology, Journal of Clinical Microbiology and American Journal of Transplantation.

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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