Chengquan Zhao

8.3k total citations
213 papers, 5.4k citations indexed

About

Chengquan Zhao is a scholar working on Epidemiology, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, Chengquan Zhao has authored 213 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Epidemiology, 67 papers in Surgery and 43 papers in Obstetrics and Gynecology. Recurrent topics in Chengquan Zhao's work include Cervical Cancer and HPV Research (128 papers), Genital Health and Disease (51 papers) and Endometrial and Cervical Cancer Treatments (39 papers). Chengquan Zhao is often cited by papers focused on Cervical Cancer and HPV Research (128 papers), Genital Health and Disease (51 papers) and Endometrial and Cervical Cancer Treatments (39 papers). Chengquan Zhao collaborates with scholars based in United States, China and Russia. Chengquan Zhao's co-authors include Robert I. Lehrer, R. Marshall Austin, Ingrid Wang, Tomas Ganz, Zaibo Li, Lide Liu, Tung Nguyen, Ross Barner, David J. Dabbs and Russell Vang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Chengquan Zhao

201 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengquan Zhao United States 37 2.2k 2.0k 1.6k 1.3k 1.2k 213 5.4k
Maria Lina Tornesello Italy 45 415 0.2× 1.8k 0.9× 2.2k 1.4× 770 0.6× 1.4k 1.2× 184 5.9k
Jorge Morales United States 29 739 0.3× 3.8k 1.9× 628 0.4× 1.9k 1.4× 411 0.3× 74 4.4k
Jens C. Jensenius Denmark 55 302 0.1× 1.4k 0.7× 1.8k 1.1× 390 0.3× 7.3k 6.1× 168 9.9k
Jeffrey S. Schorey United States 37 455 0.2× 1.5k 0.7× 3.5k 2.2× 358 0.3× 1.8k 1.5× 63 5.8k
John Chan United States 52 213 0.1× 5.8k 2.8× 2.0k 1.2× 2.6k 2.0× 4.6k 3.9× 122 12.6k
Thomas J. Waldschmidt United States 46 506 0.2× 1.3k 0.6× 2.5k 1.6× 353 0.3× 7.3k 6.1× 113 10.7k
T. Sakari Jokiranta Finland 46 422 0.2× 626 0.3× 1.2k 0.8× 174 0.1× 3.5k 3.0× 112 6.4k
Damien Chaussabel United States 43 161 0.1× 2.1k 1.0× 2.3k 1.4× 932 0.7× 4.0k 3.3× 131 7.9k
Katryn J. Stacey Australia 44 491 0.2× 889 0.4× 4.2k 2.6× 428 0.3× 4.1k 3.4× 85 7.6k
Franco M. Buonaguro Italy 34 161 0.1× 1.2k 0.6× 1.3k 0.8× 506 0.4× 732 0.6× 111 3.4k

Countries citing papers authored by Chengquan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Chengquan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengquan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chengquan Zhao. A scholar is included among the top collaborators of Chengquan Zhao 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 Chengquan Zhao. Chengquan Zhao 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.
Elishaev, Esther, Rohit Bhargava, Liron Pantanowitz, et al.. (2025). Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System. Cancer Cytopathology. 133(7). e70022–e70022. 1 indexed citations
2.
Elishaev, Esther, Rohit Bhargava, Matthew G. Hanna, et al.. (2025). Diagnostic performance of the hologic genius digital diagnostics system for low-grade squamous intraepithelial lesion (LSIL) ThinPrep papanicolaou tests. Journal of the American Society of Cytopathology. 14(3). 199–207. 2 indexed citations
3.
Zeng, Xianxu, et al.. (2025). Artificial Intelligence in Gynecologic Cytology. Acta Cytologica. 70(1). 52–71. 1 indexed citations
4.
Xu, Peng, Chengquan Zhao, Xue Li, et al.. (2025). Gene editing tools promote the development of chloroplast gene engineering. Current Plant Biology. 44. 100540–100540.
5.
Zhao, Chengquan, et al.. (2025). Cutting-edge progress of artificial intelligence in cervical cytology. SHILAP Revista de lepidopterología. 5(3). e000304–e000304.
6.
Tang, Xiao, Wei Jiang, Yanmei He, et al.. (2024). The significance of extensive HPV genotyping for cervical high-grade neoplasia among women with atypical glandular cells. American Journal of Clinical Pathology. 163(1). 134–142. 3 indexed citations
7.
Zhang, Wei, Jeffrey L. Fine, Ting Zhang, et al.. (2024). Characteristics and utility of high-resolution optical coherence microscopy images of endocervical canal lesions. American Journal of Clinical Pathology. 162(4). 392–400. 1 indexed citations
9.
Sun, Yihua, Tiannan Wang, Fangfang Zhong, et al.. (2024). Genotype profile of HPV in ASC‐H cytology and histologic follow‐up—prevalence, distribution, and risk: A retrospective study of 1414 cases. Cancer Cytopathology. 132(9). 588–598. 2 indexed citations
11.
Elishaev, Esther, T. Rinda Soong, Mirka W. Jones, et al.. (2023). Utility of TRPS1 immunohistochemistry in confirming breast carcinoma: Emphasis on staining in triple-negative breast cancers and gynecologic tumors. American Journal of Clinical Pathology. 160(4). 425–434. 8 indexed citations
12.
Wang, Tiannan, et al.. (2023). Clinicopathologic diagnosis of dVIN related vulvar squamous cell carcinoma: An extended appraisal from a tertiary women's hospital. SHILAP Revista de lepidopterología. 3(1). 30–37. 1 indexed citations
13.
Elishaev, Esther, et al.. (2023). Changes over time in papanicolaou cytology test and HPV test in a large women’s academic center laboratory. Journal of the American Society of Cytopathology. 12(4). 307–313. 5 indexed citations
14.
Tao, Xiang, Huina Zhang, Hao Zhang, et al.. (2022). The clinical utility of extended high‐risk HPV genotyping in risk‐stratifying women with L‐SIL cytology: A retrospective study of 8726 cases. Cancer Cytopathology. 130(7). 542–550. 19 indexed citations
15.
Tao, Xiang, R. Marshall Austin, Fangfang Zhong, et al.. (2021). Risk stratification for cervical neoplasia using extended high‐risk HPV genotyping in women with ASC‐US cytology: A large retrospective study from China. Cancer Cytopathology. 130(4). 248–258. 30 indexed citations
17.
Fasanella, Kenneth, Rajan K. Bista, Kevin D. Staton, et al.. (2013). Nuclear Nano-architecture Markers of Gastric Cardia and Upper Squamous Esophagus Detect Esophageal Cancer “Field Effect”. Journal of Cancer. 4(8). 626–634. 3 indexed citations
18.
Zhao, Chengquan, Ross Barner, Tuyethoa N. Vinh, et al.. (2008). SF-1 is a Diagnostically Useful Immunohistochemical Marker and Comparable to Other Sex Cord-Stromal Tumor Markers for the Differential Diagnosis of Ovarian Sertoli Cell Tumor. International Journal of Gynecological Pathology. 27(4). 507–514. 49 indexed citations
19.
Cole, Alexander M., Teresa Hong, Lee Ming Boo, et al.. (2002). Retrocyclin: A primate peptide that protects cells from infection by T- and M-tropic strains of HIV-1. Proceedings of the National Academy of Sciences. 99(4). 1813–1818. 238 indexed citations
20.
Liu, Lide, Lina Wang, Hong Peng Jia, et al.. (1998). Structure and mapping of the human β-defensin HBD-2 gene and its expression at sites of inflammation. Gene. 222(2). 237–244. 213 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026