Carol A. Ewanowich

1.9k total citations
18 papers, 1.1k citations indexed

About

Carol A. Ewanowich is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Carol A. Ewanowich has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Reproductive Medicine, 7 papers in Obstetrics and Gynecology and 6 papers in Molecular Biology. Recurrent topics in Carol A. Ewanowich's work include Ovarian cancer diagnosis and treatment (10 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Bacterial Infections and Vaccines (6 papers). Carol A. Ewanowich is often cited by papers focused on Ovarian cancer diagnosis and treatment (10 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Bacterial Infections and Vaccines (6 papers). Carol A. Ewanowich collaborates with scholars based in Canada, United States and Taiwan. Carol A. Ewanowich's co-authors include M S Peppler, Martin Köbel, Steve E. Kalloger, David G. Huntsman, Robert A. Soslow, Richard Sherburne, Guangming Han, C. Blake Gilks, Máire A. Duggan and Jocelyne Arseneau and has published in prestigious journals such as Journal of Clinical Microbiology, Infection and Immunity and The American Journal of Surgical Pathology.

In The Last Decade

Carol A. Ewanowich

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol A. Ewanowich Canada 14 495 410 363 270 227 18 1.1k
Luciano Mariani Italy 23 48 0.1× 123 0.3× 242 0.7× 90 0.3× 815 3.6× 61 1.1k
Raymond Apple United States 20 23 0.0× 121 0.3× 318 0.9× 187 0.7× 1.3k 5.7× 25 2.0k
Raizy Gruda Israel 11 116 0.2× 96 0.2× 131 0.4× 17 0.1× 206 0.9× 11 1.1k
Peter Melsheimer Germany 8 37 0.1× 78 0.2× 375 1.0× 86 0.3× 856 3.8× 9 1.0k
Josefin Fernebro Sweden 12 20 0.0× 11 0.0× 250 0.7× 188 0.7× 315 1.4× 24 880
Véronique Dalstein France 21 17 0.0× 70 0.2× 426 1.2× 166 0.6× 916 4.0× 48 1.5k
PJF Snijders Netherlands 9 20 0.0× 106 0.3× 378 1.0× 279 1.0× 1.6k 6.9× 9 1.8k
Agnetha Josefsson Sweden 12 11 0.0× 96 0.2× 230 0.6× 159 0.6× 794 3.5× 16 1.0k
Harald zur Hausen Germany 5 19 0.0× 62 0.2× 333 0.9× 49 0.2× 750 3.3× 5 1.0k
Allison P. Cullen United States 11 15 0.0× 56 0.1× 267 0.7× 201 0.7× 930 4.1× 12 1.1k

Countries citing papers authored by Carol A. Ewanowich

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Ewanowich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Ewanowich. 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 Carol A. Ewanowich. The network helps show where Carol A. Ewanowich may publish in the future.

Co-authorship network of co-authors of Carol A. Ewanowich

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

All Works

18 of 18 papers shown
1.
Wong, Nelson K.Y., Marta Llauradó Fernández, Hannah Kim, et al.. (2024). Preclinical 3D model screening reveals digoxin as an effective therapy for a rare and aggressive type of endometrial cancer. Gynecologic Oncology. 188. 162–168. 1 indexed citations
2.
Sar, Aylin, Qiuli Duan, Moosa Khalil, et al.. (2018). Cervical Adenocarcinoma: A Comparison of the Reproducibility of the World Health Organization 2003 and 2014 Classifications. Journal of Lower Genital Tract Disease. 22(2). 132–138. 3 indexed citations
3.
Hoang, Lien, Mary Kinloch, Joyce M. Leo, et al.. (2017). Interobserver Agreement in Endometrial Carcinoma Histotype Diagnosis Varies Depending on The Cancer Genome Atlas (TCGA)-based Molecular Subgroup. The American Journal of Surgical Pathology. 41(2). 245–252. 75 indexed citations
4.
Hoang, Lien, Melissa K. McConechy, Bo Meng, et al.. (2014). Targeted mutation analysis of endometrial clear cell carcinoma. Histopathology. 66(5). 664–674. 73 indexed citations
5.
DeLair, Deborah F., Guangming Han, Julie Irving, et al.. (2013). HNF-1β in Ovarian Carcinomas With Serous and Clear Cell Change. International Journal of Gynecological Pathology. 32(6). 541–546. 23 indexed citations
6.
Han, Guangming, Davinder Sidhu, Máire A. Duggan, et al.. (2013). Reproducibility of histological cell type in high-grade endometrial carcinoma. Modern Pathology. 26(12). 1594–1604. 156 indexed citations
7.
Hunt, Ian, et al.. (2010). Managing a solitary fibrous tumour of the diaphragm from above and below. ANZ Journal of Surgery. 80(5). 370–371. 5 indexed citations
8.
Köbel, Martin, Steve E. Kalloger, Patricia M. Baker, et al.. (2010). Diagnosis of Ovarian Carcinoma Cell Type is Highly Reproducible. The American Journal of Surgical Pathology. 34(7). 984–993. 95 indexed citations
9.
Köbel, Martin, Haodong Xu, Patricia Bourne, et al.. (2009). IGF2BP3 (IMP3) expression is a marker of unfavorable prognosis in ovarian carcinoma of clear cell subtype. Modern Pathology. 22(3). 469–475. 110 indexed citations
10.
Han, Guangming, C. Blake Gilks, Samuel Leung, et al.. (2008). Mixed Ovarian Epithelial Carcinomas With Clear Cell and Serous Components are Variants of High-grade Serous Carcinoma. The American Journal of Surgical Pathology. 32(7). 955–964. 53 indexed citations
11.
Köbel, Martin, Steve E. Kalloger, Jon Carrick, et al.. (2008). A Limited Panel of Immunomarkers Can Reliably Distinguish Between Clear Cell and High-grade Serous Carcinoma of the Ovary. The American Journal of Surgical Pathology. 33(1). 14–21. 161 indexed citations
12.
Ewanowich, Carol A., Russell K. Brynes, L. Jeffrey Medeiros, Althea McCourty, & Raymond Lai. (2001). Cyclin D1 Expression in Dysplastic Nevi. Archives of Pathology & Laboratory Medicine. 125(2). 208–210. 19 indexed citations
13.
14.
Leininger, Elizabeth C., Carol A. Ewanowich, Atul Bhargava, et al.. (1992). Comparative roles of the Arg-Gly-Asp sequence present in the Bordetella pertussis adhesins pertactin and filamentous hemagglutinin. Infection and Immunity. 60(6). 2380–2385. 89 indexed citations
15.
Ewanowich, Carol A. & M S Peppler. (1990). Phorbol myristate acetate inhibits HeLa 229 invasion by Bordetella pertussis and other invasive bacterial pathogens. Infection and Immunity. 58(10). 3187–3193. 12 indexed citations
16.
Ewanowich, Carol A., Richard Sherburne, S. F. Paul Man, & M S Peppler. (1989). Bordetella parapertussis invasion of HeLa 229 cells and human respiratory epithelial cells in primary culture. Infection and Immunity. 57(4). 1240–1247. 44 indexed citations
17.
Woods, Donald E., et al.. (1989). Development of a rat model for respiratory infection with Bordetella pertussis. Infection and Immunity. 57(4). 1018–1024. 29 indexed citations
18.
Ewanowich, Carol A., A R Melton, Alison A. Weiss, Richard Sherburne, & M S Peppler. (1989). Invasion of HeLa 229 cells by virulent Bordetella pertussis. Infection and Immunity. 57(9). 2698–2704. 121 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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