Roy Zhang

1.4k total citations
30 papers, 1.0k citations indexed

About

Roy Zhang is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Roy Zhang has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Epidemiology and 7 papers in Oncology. Recurrent topics in Roy Zhang's work include Cervical Cancer and HPV Research (10 papers), AI in cancer detection (5 papers) and Genital Health and Disease (5 papers). Roy Zhang is often cited by papers focused on Cervical Cancer and HPV Research (10 papers), AI in cancer detection (5 papers) and Genital Health and Disease (5 papers). Roy Zhang collaborates with scholars based in United States, United Kingdom and Pakistan. Roy Zhang's co-authors include Joan L. Walker, Rosemary E. Zuna, Michael A. Gold, Nicolas Wentzensen, Richard A. Allen, S. Terence Dunn, Mark Schiffman, Cara Mathews, Sophia Wang and Sholom Wacholder and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Roy Zhang

30 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Zhang United States 14 680 327 245 225 151 30 1.0k
Béatrix Cochand‐Priollet France 20 367 0.5× 562 1.7× 223 0.9× 218 1.0× 84 0.6× 62 1.5k
Ioannis Panayiotides Greece 17 307 0.5× 126 0.4× 188 0.8× 204 0.9× 58 0.4× 82 799
Jasenka Matisic Canada 17 493 0.7× 169 0.5× 122 0.5× 187 0.8× 59 0.4× 30 782
Diane Tokugawa United States 13 708 1.0× 451 1.4× 79 0.3× 234 1.0× 33 0.2× 15 862
Mary T. Galgano United States 12 212 0.3× 272 0.8× 141 0.6× 138 0.6× 74 0.5× 14 752
Youn Jin Choi South Korea 15 204 0.3× 112 0.3× 294 1.2× 152 0.7× 204 1.4× 52 792
Marcus J. Trunk Germany 14 577 0.8× 460 1.4× 128 0.5× 237 1.1× 62 0.4× 25 929
Tarik M. Elsheikh United States 21 305 0.4× 834 2.6× 85 0.3× 295 1.3× 239 1.6× 64 1.7k
Paul J. J. M. Klinkhamer Netherlands 12 688 1.0× 185 0.6× 81 0.3× 321 1.4× 59 0.4× 14 854
Luigi Di Bonito Italy 22 531 0.8× 203 0.6× 336 1.4× 353 1.6× 255 1.7× 58 1.2k

Countries citing papers authored by Roy Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Roy Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Zhang. A scholar is included among the top collaborators of Roy Zhang 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 Roy Zhang. Roy Zhang 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.
Dogra, Samrita, Fariba Behbod, Chao Xu, et al.. (2025). Preferential release of microRNAs via extracellular vesicles is associated with ductal carcinoma in situ to invasive breast cancer progression. Cancer Letters. 625. 217794–217794. 1 indexed citations
2.
Zhang, Roy, Patrick Trotter, Giorgio Trivioli, et al.. (2024). Assessment of biological organ age using molecular pathology in pre-transplant kidney biopsies. Kidney International. 106(2). 302–316. 4 indexed citations
3.
Hatoum, Hassan, et al.. (2022). Metastatic Gastrointestinal Stromal Tumor to the Omentum and Endometrium: A Case Report. 3(2). 1 indexed citations
4.
Forsyth, Faye, Jenni Burt, Peter Hartley, et al.. (2022). What are the outcomes of dietary interventions in Heart Failure with preserved Ejection Fraction? A systematic review and meta-analysis. European Journal of Cardiovascular Nursing. 22(7). 679–689. 2 indexed citations
5.
Forsyth, Faye, Jenni Burt, Peter Hartley, et al.. (2022). What dietary interventions have been tested in heart failure with preserved ejection fraction? A systematic scoping review. European Journal of Cardiovascular Nursing. 22(2). 126–140. 6 indexed citations
6.
Yi, Misung, Natalie Hills, Rachel Davis, et al.. (2022). Sustained Inflammation of Breast Tumors after Needle Biopsy. Pathobiology. 90(2). 114–122. 4 indexed citations
7.
Zhang, Ke, Xianglan Lu, Xuxin Chen, et al.. (2022). Improving the resolution of chromosome imaging by high numerical aperture Fourier ptychography microscopy. 16–16. 2 indexed citations
8.
Hannafon, Bethany N., et al.. (2019). miR-23b and miR-27b are oncogenic microRNAs in breast cancer: evidence from a CRISPR/Cas9 deletion study. BMC Cancer. 19(1). 642–642. 91 indexed citations
9.
Dey, Anindya, Shailendra Kumar Dhar Dwivedi, Kai Ding, et al.. (2018). Inhibition of BMI1, a Therapeutic Approach in Endometrial Cancer. Molecular Cancer Therapeutics. 17(10). 2136–2143. 14 indexed citations
10.
Zhang, Roy, Theresa Thai, Camille C. Gunderson, et al.. (2018). Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks. Annals of Biomedical Engineering. 46(12). 1988–1999. 57 indexed citations
13.
Morita, Yoshihiro, Mohamed Kamal, Shinae Kang, et al.. (2016). E-selectin Targeting PEGylated-thioaptamer Prevents Breast Cancer Metastases. Molecular Therapy — Nucleic Acids. 5(12). e399–e399. 22 indexed citations
14.
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
15.
Luhn, Patricia, Joan L. Walker, Mark Schiffman, et al.. (2012). The role of co-factors in the progression from human papillomavirus infection to cervical cancer. Gynecologic Oncology. 128(2). 265–270. 102 indexed citations
16.
Yang, Hannah, Rosemary E. Zuna, Mark Schiffman, et al.. (2012). Clinical and Pathological Heterogeneity of Cervical Intraepithelial Neoplasia Grade 3. PLoS ONE. 7(1). e29051–e29051. 12 indexed citations
17.
Wentzensen, Nicolas, Mark Schiffman, T.S. Dunn, et al.. (2009). Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants. International Journal of Cancer. 125(9). 2151–2158. 143 indexed citations
18.
Wentzensen, Nicolas, Rosemary E. Zuna, Mark E. Sherman, et al.. (2009). Accuracy of cervical specimens obtained for biomarker studies in women with CIN3. Gynecologic Oncology. 115(3). 493–496. 21 indexed citations
19.
Wang, Xingwei, Bin Zheng, Roy Zhang, et al.. (2009). Automated detection and analysis of fluorescent in situ hybridization spots depicted in digital microscopic images of Pap-smear specimens. Journal of Biomedical Optics. 14(2). 21002–21002. 16 indexed citations
20.
Wentzensen, Nicolas, Mark Schiffman, S. Terence Dunn, et al.. (2008). Grading the severity of cervical neoplasia based on combined histopathology, cytopathology, and HPV genotype distribution among 1,700 women referred to colposcopy in Oklahoma. International Journal of Cancer. 124(4). 964–969. 67 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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