Shanshan Zhao

82 papers receiving 2.5k citations

Hit Papers

A Quantile-Based g-Computation Approach to Addressing the...202020262022202420202505007501000

Peers

Shanshan Zhao
Comparison fields: 5 of 155
  • Health, Toxicology and Mutagenesis 1.1k
  • Molecular Biology 404
  • Pulmonary and Respiratory Medicine 293
  • Pediatrics, Perinatology and Child Health 284
  • Environmental Chemistry 237
Replace Pamela L. Horn‐Ross with:
Pamela L. Horn‐Ross United States
Elaine Symanski United States
Denise Riedel Lewis United States
Tongzhang Zheng United States
Eva Ardanáz Spain
Reina Haque United States
Joanne S. Colt United States
Will D. King Canada
Yinan Zheng United States
Steven D. Mark United States
Shanshan Zhao relative to Pamela L. Horn‐Ross United States Pamela L. Horn‐Ross's profile →
Citations per field
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Pamela L. Horn‐Ross · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 5
4 3
5 0
6 6
7 11
8 6
9 15
10 13
11 30
12 2
13
A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixturesbreakdown →
1062
14 1
15 57
16 21
17
Health disparities in prostate cancer: Tumor epigenome profiling in African American vs European American men
0
18 30
19 33
20
Characteristics and Species Diversity of Macaranga tanarius Community on Ilha Verde Hill of Macau
1

About Shanshan Zhao

Shanshan Zhao is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Industrial and Manufacturing Engineering, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Epigenetics and DNA Methylation (11 papers) and Cancer Risks and Factors (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Environmental Chemistry (237 citations) and Obstetrics and Gynecology (155 citations). Shanshan Zhao has collaborated with scholars based in United States, China and Netherlands. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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