John Doorbar

14.2k total citations · 6 hit papers
122 papers, 9.3k citations indexed

About

John Doorbar is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, John Doorbar has authored 122 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Epidemiology, 47 papers in Molecular Biology and 28 papers in Genetics. Recurrent topics in John Doorbar's work include Cervical Cancer and HPV Research (97 papers), Molecular Biology Techniques and Applications (28 papers) and Virus-based gene therapy research (27 papers). John Doorbar is often cited by papers focused on Cervical Cancer and HPV Research (97 papers), Molecular Biology Techniques and Applications (28 papers) and Virus-based gene therapy research (27 papers). John Doorbar collaborates with scholars based in United Kingdom, United States and Netherlands. John Doorbar's co-authors include Heather Griffin, Nagayasu Egawa, Margaret Stanley, Lawrence Banks, Wim Quint, Christian Kranjec, Ignacio G. Bravo, Mark H. Stoler, Isao Murakami and Clare Davy and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

John Doorbar

122 papers receiving 9.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Biology and Life-Cycle of Human Papillomaviruses

2012 1.0k citations John Doorbar, Wim Quint et al. profile →
Molecular biology of human papillomavirus infection and cervical cancer

2006 755 citations John Doorbar profile →
Carcinogenic human papillomavirus infection

2016 642 citations Mark Schiffman, John Doorbar et al. profile →
Human papillomavirus molecular biology and disease association

2015 624 citations John Doorbar, Nagayasu Egawa et al. profile →
The papillomavirus life cycle

2005 569 citations John Doorbar Journal of Clinical Virology profile →
Human Papillomaviruses; Epithelial Tropisms, and the Development of Neoplasia

2015 380 citations Nagayasu Egawa, Heather Griffin et al. Viruses profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Doorbar United Kingdom	46	6.8k	2.8k	2.0k	1.8k	1.8k	122	9.3k
Margaret Stanley United Kingdom	50	7.2k 1.1×	2.3k 0.8×	1.8k 0.9×	2.6k 1.4×	2.2k 1.2×	180	10.2k
Matthias Dürst Germany	48	6.1k 0.9×	3.9k 1.4×	2.2k 1.1×	1.6k 0.9×	1.5k 0.8×	138	9.8k
Massimo Tommasino France	61	7.2k 1.1×	3.8k 1.4×	3.5k 1.7×	2.0k 1.1×	2.5k 1.4×	315	12.3k
Herbert Pfister Germany	60	7.3k 1.1×	1.9k 0.7×	3.1k 1.6×	1.5k 0.8×	2.5k 1.4×	251	11.0k
Thomas Iftner Germany	47	6.7k 1.0×	2.0k 0.7×	2.1k 1.0×	933 0.5×	2.5k 1.4×	197	8.4k
Hans‐Ulrich Bernard Singapore	46	4.3k 0.6×	2.7k 0.9×	1.0k 0.5×	900 0.5×	1.1k 0.6×	89	6.3k
Richard B.S. Roden United States	62	6.4k 0.9×	4.1k 1.5×	2.1k 1.0×	4.6k 2.5×	1.0k 0.6×	205	12.8k
Jan ter Schegget Netherlands	45	5.2k 0.8×	1.7k 0.6×	1.8k 0.9×	1.4k 0.8×	1.4k 0.8×	111	7.3k
Thomas R. Broker United States	41	3.9k 0.6×	3.7k 1.3×	1.3k 0.6×	800 0.4×	1.1k 0.6×	71	7.5k
Alison A. McBride United States	47	3.6k 0.5×	2.9k 1.0×	2.0k 1.0×	1.3k 0.7×	522 0.3×	96	6.9k

Countries citing papers authored by John Doorbar

Since Specialization

Citations

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

Fields of papers citing papers by John Doorbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Doorbar

This figure shows the co-authorship network connecting the top 25 collaborators of John Doorbar. A scholar is included among the top collaborators of John Doorbar 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 John Doorbar. John Doorbar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Egawa, Nagayasu, et al.. (2025). How can HPV E6 manipulate host cell differentiation process to maintain the reservoir of infection. PubMed. 19. 200313–200313. 3 indexed citations

Griffin, Heather, Tanvier Omar, Jaume Ordï, et al.. (2025). Role of Reserve Cells in Metaplasia and the Development of Human Papillomavirus–Associated High-Grade Squamous Intraepithelial Lesions at the Cervical Transformation Zone. Laboratory Investigation. 105(7). 104166–104166. 1 indexed citations

Pino, Marta del, Alex Vorsters, Elmar A. Joura, et al.. (2024). Risk factors for human papillomavirus infection and disease: A targeted literature summary. Journal of Medical Virology. 96(2). e29420–e29420. 5 indexed citations

Doorbar, John. (2023). The human Papillomavirus twilight zone – Latency, immune control and subclinical infection. SHILAP Revista de lepidopterología. 16. 200268–200268. 21 indexed citations

Yin, Wen, Nagayasu Egawa, Ke Zheng, et al.. (2023). HPV E6 inhibits E6AP to regulate epithelial homeostasis by modulating keratinocyte differentiation commitment and YAP1 activation. PLoS Pathogens. 19(6). e1011464–e1011464. 10 indexed citations

Wong, Margaret, et al.. (2023). Mus musculus papillomavirus 1 E8^E2 represses expression of late protein E4 in basal-like keratinocytes via NCoR/SMRT-HDAC3 co-repressor complexes to enable wart formation in vivo. mBio. 14(4). e0069623–e0069623. 1 indexed citations

Jenkins, David, Wim Quint, Mark H. Stoler, et al.. (2022). Performance of HPV E4 and p16 ^INK4a biomarkers in predicting regression of cervical intraepithelial neoplasia grade 2 (CIN2): protocol for a historical cohort study. BMJ Open. 12(7). e059593–e059593. 5 indexed citations

Egawa, Nagayasu, et al.. (2022). Role of E6 in Maintaining the Basal Cell Reservoir during Productive Papillomavirus Infection.. Apollo (University of Cambridge). 15 indexed citations

Doorbar, John, et al.. (2021). Principles of epithelial homeostasis control during persistent human papillomavirus infection and its deregulation at the cervical transformation zone. Current Opinion in Virology. 51. 96–105. 25 indexed citations

10.

Griffin, Heather, Maaike C.G. Bleeker, Renske D.M. Steenbergen, et al.. (2021). Delta-Like Ligand–Notch1 Signaling Is Selectively Modulated by HPV16 E6 to Promote Squamous Cell Proliferation and Correlates with Cervical Cancer Prognosis. Cancer Research. 81(7). 1909–1921. 22 indexed citations

11.

Brendle, Sarah A., Nancy M. Cladel, Debra A. Shearer, et al.. (2021). Mouse Papillomavirus L1 and L2 Are Dispensable for Viral Infection and Persistence at Both Cutaneous and Mucosal Tissues. Viruses. 13(9). 1824–1824. 6 indexed citations

12.

Crawford, Robin, et al.. (2020). The early detection of cervical cancer. The current and changing landscape of cervical disease detection. Cytopathology. 31(4). 258–270. 28 indexed citations

13.

Murakami, Isao, Nagayasu Egawa, Heather Griffin, et al.. (2019). Roles for E1-independent replication and E6-mediated p53 degradation during low-risk and high-risk human papillomavirus genome maintenance. PLoS Pathogens. 15(5). e1007755–e1007755. 27 indexed citations

14.

Kavanagh, Kimberley, Jiafeng Pan, Lynne W. Stevenson, et al.. (2018). Risk stratification of cervical disease using detection of human papillomavirus (HPV) E4 protein and cellular MCM protein in clinical liquid based cytology samples. Journal of Clinical Virology. 108. 19–25. 5 indexed citations

15.

Egawa, Nagayasu, Qian Wang, Heather Griffin, et al.. (2017). HPV16 and 18 genome amplification show different E4-dependence, with 16E4 enhancing E1 nuclear accumulation and replicative efficiency via its cell cycle arrest and kinase activation functions. PLoS Pathogens. 13(3). e1006282–e1006282. 38 indexed citations

16.

Kranjec, Christian, et al.. (2017). Modulation of basal cell fate during productive and transforming HPV‐16 infection is mediated by progressive E6‐driven depletion of Notch. The Journal of Pathology. 242(4). 448–462. 41 indexed citations

17.

Luttmer, Roosmarijn, Maaike G. Dijkstra, Peter J.F. Snijders, et al.. (2015). Presence of human papillomavirus in semen of healthy men is firmly associated with HPV infections of the penile epithelium. Fertility and Sterility. 104(4). 838–844.e8. 21 indexed citations

18.

Borgogna, Cinzia, Alberto Peretti, Marco De Andrea, et al.. (2014). Improved detection reveals active β-papillomavirus infection in skin lesions from kidney transplant recipients. Modern Pathology. 27(8). 1101–1115. 35 indexed citations

19.

Davy, Clare & John Doorbar. (2005). Human papillomaviruses : methods and protocols. Humana Press eBooks. 9 indexed citations

20.

Grand, Roger J.A., et al.. (1989). Phosphorylation of the human papillomavirus type 1 E4 proteins in Vivo and in Vitro. Virology. 170(1). 201–213. 24 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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