Shanshan Zhao

5.3k total citations · 1 hit paper
88 papers, 2.5k citations indexed

About

Shanshan Zhao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Shanshan Zhao has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 18 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Shanshan Zhao's work include Prostate Cancer Treatment and Research (13 papers), Epigenetics and DNA Methylation (11 papers) and Cancer Risks and Factors (10 papers). Shanshan Zhao is often cited by papers focused on Prostate Cancer Treatment and Research (13 papers), Epigenetics and DNA Methylation (11 papers) and Cancer Risks and Factors (10 papers). Shanshan Zhao collaborates with scholars based in United States, China and Netherlands. Shanshan Zhao's co-authors include Alexandra J. White, Kelly K. Ferguson, Katie M. O’Brien, Alexander P. Keil, Jessie P. Buckley, Rachel Carroll, Ross L. Prentice, Dale P. Sandler, Janet L. Stanford and Ziding Feng and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Shanshan Zhao

82 papers receiving 2.5k citations

Hit Papers

A Quantile-Based g-Comput... 2020 2026 2022 2024 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Zhao United States 22 1.1k 404 293 284 237 88 2.5k
Péter Rudnai Hungary 29 918 0.8× 676 1.7× 479 1.6× 101 0.4× 410 1.7× 63 2.5k
Scott A. Venners United States 26 975 0.9× 224 0.6× 93 0.3× 404 1.4× 200 0.8× 70 2.7k
Jonathan N. Hofmann United States 31 746 0.7× 499 1.2× 331 1.1× 100 0.4× 244 1.0× 143 2.9k
Lützen Portengen Netherlands 35 1.8k 1.6× 344 0.9× 388 1.3× 167 0.6× 127 0.5× 129 3.1k
Hui Hu United States 28 1.2k 1.1× 296 0.7× 134 0.5× 218 0.8× 121 0.5× 129 2.8k
Juan Pedro Arrebola Spain 33 2.2k 2.0× 229 0.6× 94 0.3× 170 0.6× 219 0.9× 119 3.3k
Yawei Zhang United States 31 947 0.8× 527 1.3× 301 1.0× 184 0.6× 57 0.2× 117 3.2k
H. Dean Hosgood United States 34 1.2k 1.1× 1.1k 2.8× 496 1.7× 166 0.6× 125 0.5× 126 4.2k
Bryan A. Bassig United States 28 1.1k 1.0× 304 0.8× 193 0.7× 213 0.8× 38 0.2× 82 2.2k
Will D. King Canada 33 1.6k 1.5× 359 0.9× 449 1.5× 237 0.8× 283 1.2× 88 4.8k

Countries citing papers authored by Shanshan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Zhao. A scholar is included among the top collaborators of Shanshan 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 Shanshan Zhao. Shanshan 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
3.
Young, Anna S., Alexander P. Keil, C E Mullins, et al.. (2025). Novel and legacy per- and polyfluoroalkyl substances in humans: Long-term temporal variability and metabolic perturbations. Environment International. 201. 109590–109590. 3 indexed citations
4.
Yang, Hong, Shanshan Zhao, Li Tian, et al.. (2025). Dextran-engineered Cu-MOF nanozyme with multi-enzyme mimetic cascade for cuproptosis-enhanced synergistic therapy in triple-negative breast cancer. International Journal of Biological Macromolecules. 322(Pt 3). 146920–146920. 1 indexed citations
5.
Zhao, Shanshan, et al.. (2025). Impact of green credit on financing constraints of energy-consuming firms. Finance research letters. 74. 106801–106801. 5 indexed citations
6.
Zhao, Shanshan, Peng Liu, & Yan Li. (2024). Biomineralized apoferritin nanoparticles delivering dihydroartemisinin and calcium for synergistic breast cancer therapy. Scientific Reports. 14(1). 29402–29402. 6 indexed citations
7.
Wang, Ziyue, Mi Kyeong Lee, Christine G. Parks, et al.. (2023). Metagenomics reveals novel microbial signatures of farm exposures in house dust. Frontiers in Microbiology. 14. 1202194–1202194. 6 indexed citations
8.
Bommarito, Paige A., David E. Cantonwine, Danielle R. Stevens, et al.. (2022). An application of group-based trajectory modeling to define fetal growth phenotypes among small-for-gestational-age births in the LIFECODES Fetal Growth Study. American Journal of Obstetrics and Gynecology. 228(3). 334.e1–334.e21. 15 indexed citations
9.
McGrath, John A., Christian Douglas, Bob Z. Sun, et al.. (2021). Longitudinal Investigation of Pubertal Milestones and Hormones as a Function of Body Fat in Girls. The Journal of Clinical Endocrinology & Metabolism. 106(6). 1668–1683. 23 indexed citations
10.
Keil, Alexander P., Jessie P. Buckley, Katie M. O’Brien, et al.. (2020). A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures. Environmental Health Perspectives. 128(4). 47004–47004. 1062 indexed citations breakdown →
11.
12.
Keil, Alexander P., Jessie P. Buckley, Katie M. O’Brien, et al.. (2019). A quantile-based g-computation approach to addressing the effects of exposure mixtures. Environmental Epidemiology. 3(Supplement 1). 44–44. 16 indexed citations
13.
Jiang, Yue, Clarice R. Weinberg, Dale P. Sandler, & Shanshan Zhao. (2019). Use of detailed family history data to improve risk prediction,with application to breast cancer screening. PLoS ONE. 14(12). e0226407–e0226407. 4 indexed citations
14.
Valeri, Linda, Shanshan Zhao, Christian M. Page, et al.. (2017). Misclassified Exposure in Epigenetic Mediation Analyses. Does DNA Methylation Mediate Effects of Smoking on Birthweight?. Epigenomics. 9(3). 253–265. 29 indexed citations
15.
Zhao, Shanshan, Milan S. Geybels, Amy Leonardson, et al.. (2016). Epigenome-Wide Tumor DNA Methylation Profiling Identifies Novel Prognostic Biomarkers of Metastatic-Lethal Progression in Men Diagnosed with Clinically Localized Prostate Cancer. Clinical Cancer Research. 23(1). 311–319. 57 indexed citations
16.
Geybels, Milan S., Jonathan L. Wright, Marina Bibikova, et al.. (2016). Epigenetic signature of Gleason score and prostate cancer recurrence after radical prostatectomy. Clinical Epigenetics. 8(1). 97–97. 21 indexed citations
17.
Rubicz, Rohina, Irene M. Shui, Shanshan Zhao, et al.. (2015). Health disparities in prostate cancer: Tumor epigenome profiling in African American vs European American men.
18.
Stott‐Miller, Marni, Shanshan Zhao, Jonathan L. Wright, et al.. (2014). Validation Study of Genes with Hypermethylated Promoter Regions Associated with Prostate Cancer Recurrence. Cancer Epidemiology Biomarkers & Prevention. 23(7). 1331–1339. 30 indexed citations
19.
Zhao, Shanshan. (2010). Characteristics and Species Diversity of Macaranga tanarius Community on Ilha Verde Hill of Macau. Anhui nongye kexue. 1 indexed citations
20.
Li, Zongbin, Sohail S. Chaudhry, & Shanshan Zhao. (2006). Designing ERP systems with knowledge management capacity. Systems Research and Behavioral Science. 23(2). 191–200. 11 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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