Rosemary E. Zuna

44.4k total citations
108 papers, 3.7k citations indexed

About

Rosemary E. Zuna is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Rosemary E. Zuna has authored 108 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Epidemiology, 31 papers in Surgery and 20 papers in Molecular Biology. Recurrent topics in Rosemary E. Zuna's work include Cervical Cancer and HPV Research (77 papers), Ovarian cancer diagnosis and treatment (20 papers) and Genital Health and Disease (20 papers). Rosemary E. Zuna is often cited by papers focused on Cervical Cancer and HPV Research (77 papers), Ovarian cancer diagnosis and treatment (20 papers) and Genital Health and Disease (20 papers). Rosemary E. Zuna collaborates with scholars based in United States, Spain and China. Rosemary E. Zuna's co-authors include Nicolas Wentzensen, Joan L. Walker, S. Terence Dunn, Mark Schiffman, Michael A. Gold, Sophia Wang, Richard A. Allen, Roy Zhang, Mark Schiffman and Mark E. Sherman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Rosemary E. Zuna

108 papers receiving 3.6k citations

Peers

Rosemary E. Zuna

EPIDE

SURGE

ONCOL

Mote Mitchell United States

Marluce Bibbo United States

S. Terence Dunn United States

I‐Tien Yeh United States

Thomas A. Bonfiglio United States

Jan P. A. Baak Netherlands

Toshiharu Yasugi Japan

Michaël Herfs Belgium

C. H. Buckley United Kingdom

Salvatore Girlando Italy

Mote Mitchell United States

Rosemary E. Zuna

1.4k ×0.6

EPIDE

836 ×0.8

625 ×0.6

SURGE

566 ×0.8

ONCOL

351 ×0.7

Citations per year, relative to Rosemary E. Zuna Rosemary E. Zuna (= 1×) peers Mote Mitchell

Countries citing papers authored by Rosemary E. Zuna

Since Specialization

Citations

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

Fields of papers citing papers by Rosemary E. Zuna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosemary E. Zuna. 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 Rosemary E. Zuna. The network helps show where Rosemary E. Zuna may publish in the future.

Co-authorship network of co-authors of Rosemary E. Zuna

This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary E. Zuna. A scholar is included among the top collaborators of Rosemary E. Zuna 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 Rosemary E. Zuna. Rosemary E. Zuna 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

Inturrisi, Federica, Sílvia de Sanjosé, Kanan Desai, et al.. (2023). A rapid HPV typing assay to support global cervical cancer screening and risk‐based management: A cross‐sectional study. International Journal of Cancer. 154(2). 241–250. 17 indexed citations

Stanley, R. Joe, William V. Stoecker, L. Rodney Long, et al.. (2020). DeepCIN: Attention-Based Cervical histology Image Classification with Sequential Feature Modeling for Pathologist-Level Accuracy. Journal of Pathology Informatics. 11(1). 40–40. 15 indexed citations

Stoecker, William V., Haidar Almubarak, L. Rodney Long, et al.. (2018). Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels. Journal of Pathology Informatics. 9(1). 5–5. 78 indexed citations

Chakraborty, Prabir K., Soumyajit Banerjee Mustafi, Xunhao Xiong, et al.. (2017). MICU1 drives glycolysis and chemoresistance in ovarian cancer. Nature Communications. 8(1). 14634–14634. 137 indexed citations

Liu, A.H., Joan L. Walker, Julia C. Gage, et al.. (2017). Diagnosis of Cervical Precancers by Endocervical Curettage at Colposcopy of Women With Abnormal Cervical Cytology. Obstetrics and Gynecology. 130(6). 1218–1225. 33 indexed citations

Allen, Richard A., et al.. (2016). Adenocarcinoma of the cervix involving the fallopian tube mucosa: report of a case. Diagnostic Pathology. 11(1). 77–77. 9 indexed citations

Boon, Johan A. den, Dohun Pyeon, Sophia Wang, et al.. (2015). Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling. Proceedings of the National Academy of Sciences. 112(25). E3255–64. 222 indexed citations

Patterson, Andrea M., Saghar Kaabinejadian, Curtis McMurtrey, et al.. (2015). Human Leukocyte Antigen–Presented Macrophage Migration Inhibitory Factor Is a Surface Biomarker and Potential Therapeutic Target for Ovarian Cancer. Molecular Cancer Therapeutics. 15(2). 313–322. 5 indexed citations

Bodelón, Clara, Svetlana Vinokurova, Joshua N. Sampson, et al.. (2015). Chromosomal copy number alterations and HPV integration in cervical precancer and invasive cancer. Carcinogenesis. 37(2). 188–196. 42 indexed citations

10.

Landrum, Lisa M., Elizabeth Nugent, Rosemary E. Zuna, et al.. (2013). Phase II trial of vaginal cuff brachytherapy followed by chemotherapy in early stage endometrial cancer patients with high-intermediate risk factors. Gynecologic Oncology. 132(1). 50–54. 29 indexed citations

11.

Wentzensen, Nicolas, Lauren M. Schwartz, Rosemary E. Zuna, et al.. (2012). Performance of p16/Ki-67 Immunostaining to Detect Cervical Cancer Precursors in a Colposcopy Referral Population. Clinical Cancer Research. 18(15). 4154–4162. 186 indexed citations

12.

Kalantari, Mina, Alejandro Garcı́a-Carrancá, Rosemary E. Zuna, et al.. (2009). Laser capture microdissection of cervical human papillomavirus infections: Copy number of the virus in cancerous and normal tissue and heterogeneous DNA methylation. Virology. 390(2). 261–267. 48 indexed citations

13.

Zuna, Rosemary E., et al.. (2009). Association of HPV16 E6 variants with diagnostic severity in cervical cytology samples of 354 women in a US population. International Journal of Cancer. 125(11). 2609–2613. 69 indexed citations

14.

Ju, Tongzhong, Grainger S. Lanneau, Tripti Gautam, et al.. (2008). Human Tumor Antigens Tn and Sialyl Tn Arise from Mutations in Cosmc. Cancer Research. 68(6). 1636–1646. 232 indexed citations

15.

Plafker, Kendra S., Rosemary E. Zuna, Marie H. Hanigan, et al.. (2008). Human papillomavirus 16 E5 induces bi-nucleated cell formation by cell–cell fusion. Virology. 384(1). 125–134. 43 indexed citations

16.

Zuna, Rosemary E., Sophia Wang, Mark Schiffman, & Diane Solomon. (2006). Comparison of human papillomavirus distribution in cytologic subgroups of low-grade squamous intraepithelial lesion. Cancer. 108(5). 288–297. 12 indexed citations

17.

Zuna, Rosemary E., R Allen, William Moore, et al.. (2005). Dermatopathology. Laboratory Investigation. 85. 82–88. 2 indexed citations

18.

Prado, José Carlos Mann, Itzel E. Calleja‐Macías, Hans-Ulrich Bernard, et al.. (2005). Worldwide genomic diversity of the human papillomaviruses-53, 56, and 66, a group of high-risk HPVs unrelated to HPV-16 and HPV-18. Virology. 340(1). 95–104. 48 indexed citations

19.

Wang, Sophia, Abhijit Dasgupta, Mark E. Sherman, et al.. (2005). Towards Improved Biomarker Studies of Cervical Neoplasia. Diagnostic Molecular Pathology. 14(2). 59–64. 5 indexed citations

20.

Zuna, Rosemary E., William Moore, & S. Terence Dunn. (2001). HPV DNA Testing of the Residual Sample of Liquid-Based Pap Test: Utility as a Quality Assurance Monitor. Modern Pathology. 14(3). 147–151. 34 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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