David Rowe

6.2k total citations · 1 hit paper
88 papers, 4.9k citations indexed

About

David Rowe is a scholar working on Oncology, Epidemiology and Infectious Diseases. According to data from OpenAlex, David Rowe has authored 88 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Oncology, 39 papers in Epidemiology and 29 papers in Infectious Diseases. Recurrent topics in David Rowe's work include Viral-associated cancers and disorders (62 papers), Cytomegalovirus and herpesvirus research (35 papers) and Parvovirus B19 Infection Studies (26 papers). David Rowe is often cited by papers focused on Viral-associated cancers and disorders (62 papers), Cytomegalovirus and herpesvirus research (35 papers) and Parvovirus B19 Infection Studies (26 papers). David Rowe collaborates with scholars based in United States, Canada and United Kingdom. David Rowe's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

David Rowe

88 papers receiving 4.7k citations

Hit Papers

Differences in B cell gro... 1987 2026 2000 2013 1987 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Rowe 3.7k 1.6k 1.5k 1.4k 926 88 4.9k
John W. Sixbey 3.5k 1.0× 1.5k 0.9× 1.2k 0.8× 1.0k 0.8× 1.3k 1.4× 53 4.6k
B. G. Achong 3.2k 0.9× 1.6k 1.0× 1.2k 0.8× 1.3k 1.0× 915 1.0× 39 4.4k
Kanji Hirai 1.4k 0.4× 2.0k 1.2× 603 0.4× 565 0.4× 737 0.8× 147 3.7k
U.K. Freese 1.5k 0.4× 1.5k 0.9× 528 0.4× 505 0.4× 472 0.5× 17 2.7k
Andrew D. Hislop 2.4k 0.6× 1.9k 1.2× 807 0.5× 570 0.4× 2.8k 3.1× 62 4.7k
G de-Thé 2.2k 0.6× 920 0.6× 735 0.5× 894 0.7× 922 1.0× 83 3.4k
Mary Hummel 1.2k 0.3× 1.5k 0.9× 507 0.3× 550 0.4× 622 0.7× 46 2.5k
Y. M. Barr 2.4k 0.6× 1.0k 0.6× 913 0.6× 865 0.6× 634 0.7× 11 3.0k
Claire Fieschi 962 0.3× 1.9k 1.2× 513 0.3× 1.5k 1.1× 3.9k 4.2× 109 5.6k
Robert W. Atchison 1.7k 0.5× 1.1k 0.6× 545 0.4× 725 0.5× 322 0.3× 50 3.6k

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-authorship network of co-authors of David Rowe

This figure shows the co-authorship network connecting the top 25 collaborators of David Rowe. A scholar is included among the top collaborators of David Rowe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Rowe. David Rowe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Jun, et al.. (2022). CRISPR-Cas12a induced DNA double-strand breaks are repaired by multiple pathways with different mutation profiles in Magnaporthe oryzae. Nature Communications. 13(1). 7168–7168. 24 indexed citations
3.
Teh, Bing Mei, et al.. (2018). Intravascular abscess in Lemierre's syndrome due to meticillin-sensitive Staphylococcus aureus. The Lancet Infectious Diseases. 18(11). 1287–1287. 3 indexed citations
4.
Macedo, Camila, Steven A. Webber, Albert D. Donnenberg, et al.. (2011). EBV-Specific CD8+ T Cells from Asymptomatic Pediatric Thoracic Transplant Patients Carrying Chronic High EBV Loads Display Contrasting Features: Activated Phenotype and Exhausted Function. The Journal of Immunology. 186(10). 5854–5862. 35 indexed citations
5.
Davies, Michael L., James Lyons‐Weiler, Adam Rosendorff, et al.. (2010). Cellular factors associated with latency and spontaneous Epstein–Barr virus reactivation in B-lymphoblastoid cell lines. Virology. 400(1). 53–67. 34 indexed citations
6.
Gasser, Olivier, Florian Bihl, Sonali Sanghavi, et al.. (2009). Treatment-dependent Loss of Polyfunctional CD8+ T-cell Responses in HIV-infected Kidney Transplant Recipients Is Associated with Herpesvirus Reactivation. American Journal of Transplantation. 9(4). 794–803. 32 indexed citations
7.
Macedo, Camila, Adriana Zeevi, Carol Bentlejewski, et al.. (2009). The Impact of EBV Load on T-Cell Immunity in Pediatric Thoracic Transplant Recipients. Transplantation. 88(1). 123–128. 16 indexed citations
8.
Qu, Lirong, David Rowe, Albert D. Donnenberg, Deborah Griffin, & Darrell J. Triulzi. (2009). Effects of storage and leukoreduction on lymphocytes and Epstein‐Barr virus genomes in platelet concentrates. Transfusion. 49(8). 1580–1583. 8 indexed citations
9.
Rowe, David, et al.. (2008). How to make a long forehead more aesthetic. Aesthetic Surgery Journal. 28(1). 46–50. 17 indexed citations
10.
Green, Michael, et al.. (2008). Chronic high Epstein‐Barr viral load carriage in pediatric liver transplant recipients. Pediatric Transplantation. 13(3). 319–323. 58 indexed citations
11.
Rappocciolo, Giovanna, Paolo Piazza, Craig L. Fuller, et al.. (2006). DC-SIGN on B Lymphocytes Is Required For Transmission of HIV-1 to T Lymphocytes. PLoS Pathogens. 2(7). e70–e70. 89 indexed citations
12.
Green, M., Marian G. Michaels, Ben Z. Katz, et al.. (2006). CMV-IVIG for Prevention of Epstein Barr Virus Disease and Posttransplant Lymphoproliferative Disease in Pediatric Liver Transplant Recipients. American Journal of Transplantation. 6(8). 1906–1912. 77 indexed citations
13.
Qu, Lirong, et al.. (2005). Efficacy of Epstein‐Barr virus removal by leukoreduction of red blood cells. Transfusion. 45(4). 591–595. 21 indexed citations
14.
Rowe, David, et al.. (2001). Epstein–Barr virus load monitoring: its role in the prevention and management of post‐transplant lymphoproliferative disease. Transplant Infectious Disease. 3(2). 79–87. 113 indexed citations
15.
Metes, Diana, Walter J. Storkus, Adriana Zeevi, et al.. (2000). EX VIVO GENERATION OF EFFECTIVE EPSTEIN-BARR VIRUS (EBV)-SPECIFIC CD8+ CYTOTOXIC T LYMPHOCYTES FROM THE PERIPHERAL BLOOD OF IMMUNOCOMPETENT EPSTEIN BARR VIRUS-SERONEGATIVE INDIVIDUALS1. Transplantation. 70(10). 1507–1515. 24 indexed citations
16.
Green, Michael D., Thomas V. Cacciarelli, George Mazariegos, et al.. (1998). SERIAL MEASUREMENT OF EPSTEIN-BARR VIRAL LOAD IN PERIPHERAL BLOOD IN PEDIATRIC LIVER TRANSPLANT RECIPIENTS DURING TREATMENT FOR POSTTRANSPLANT LYMPHOPROLIFERATIVE DISEASE1. Transplantation. 66(12). 1641–1644. 131 indexed citations
17.
Green, M, Jorgé Reyes, Nicolas Jabbour, et al.. (1996). Use of quantitative PCR to predict onset of Epstein-Barr viral infection and post-transplant lymphoproliferative disease after intestinal transplantation in children.. DIAL (Catholic University of Leuven). 28(5). 2759–60. 23 indexed citations
19.
Allan, Grant, et al.. (1992). Cell growth effects of Epstein--Barr virus leader protein. Journal of General Virology. 73(6). 1547–1551. 35 indexed citations

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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