Ke Hao

17.6k total citations · 2 hit papers
163 papers, 5.3k citations indexed

About

Ke Hao is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ke Hao has authored 163 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 34 papers in Genetics and 29 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ke Hao's work include Birth, Development, and Health (26 papers), Genetic Associations and Epidemiology (20 papers) and Air Quality and Health Impacts (19 papers). Ke Hao is often cited by papers focused on Birth, Development, and Health (26 papers), Genetic Associations and Epidemiology (20 papers) and Air Quality and Health Impacts (19 papers). Ke Hao collaborates with scholars based in United States, China and Sweden. Ke Hao's co-authors include Eric E. Schadt, Jia Chen, Carmen J. Marsit, Johan Björkegren, Yuh Min Chook, W. N. Lipscomb, Ting Yang, Zhongyang Zhang, Arno Ruusalepp and Maya A. Deyssenroth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Ke Hao

158 papers receiving 5.2k citations

Hit Papers

Opportunities and challenges for transcriptome-wide assoc... 2017 2026 2020 2023 2019 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Hao United States 37 2.0k 1.1k 898 684 453 163 5.3k
Jia Chen United States 45 2.2k 1.1× 759 0.7× 948 1.1× 790 1.2× 1.1k 2.5× 304 6.8k
Theo K. Bammler United States 41 2.0k 1.0× 459 0.4× 628 0.7× 449 0.7× 516 1.1× 159 5.1k
Anne Zeleniuch‐Jacquotte United States 52 2.1k 1.1× 1.9k 1.8× 480 0.5× 1.3k 1.9× 561 1.2× 168 8.9k
Fan Jin China 55 2.4k 1.2× 2.1k 2.0× 535 0.6× 891 1.3× 1.1k 2.5× 225 9.5k
Tongzhang Zheng United States 48 1.2k 0.6× 568 0.5× 888 1.0× 980 1.4× 251 0.6× 129 6.2k
Pia K. Verkasalo Finland 30 1.6k 0.8× 1.4k 1.3× 829 0.9× 1.0k 1.5× 493 1.1× 57 6.8k
Weiping Teng China 48 1.8k 0.9× 788 0.7× 434 0.5× 539 0.8× 1.1k 2.5× 329 8.8k
David V. Conti United States 42 2.2k 1.1× 1.8k 1.7× 721 0.8× 546 0.8× 380 0.8× 228 6.5k
Qiong Wang China 39 2.0k 1.0× 358 0.3× 864 1.0× 1.1k 1.6× 261 0.6× 244 5.2k
Joshua N. Sampson United States 48 3.0k 1.5× 927 0.9× 485 0.5× 730 1.1× 272 0.6× 186 7.9k

Countries citing papers authored by Ke Hao

Since Specialization
Citations

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

Fields of papers citing papers by Ke Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Hao. A scholar is included among the top collaborators of Ke Hao 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 Ke Hao. Ke Hao 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.
Zhang, Congyu, Jiaqi Ma, Yuting Wang, & Ke Hao. (2025). Microwave torrefaction of biomass waste: Fuel property evaluation and life cycle impact. Next Energy. 9. 100380–100380. 2 indexed citations
2.
Li, Chunlin, Dongmei Cai, Michal Pardo, et al.. (2025). Redox potential and cytotoxicity of N-heterocyclic aromatic SOA from indole oxidation in the atmosphere. Atmospheric Environment. 344. 121049–121049. 1 indexed citations
3.
Liu, Hao, Lingling Li, Ke Hao, et al.. (2025). Ultra-Sensitive LPFG Optical Sensor Based on TiO₂-CS/PAA Hybrid Film for Lead Ion Detection. IEEE Sensors Journal. 25(20). 37927–37933.
5.
Wang, Yewei, Karen Hermetz, Amber Burt, et al.. (2024). Placental transcriptome variation associated with season, location, and urinary prenatal pyrethroid metabolites of Thai farm-working women. Environmental Pollution. 349. 123873–123873. 3 indexed citations
6.
Hao, Ke, Antonio Di Narzo, Xingmin Zhang, et al.. (2023). Ethnic disparities in ambient air and traffic-related pollution exposure and ethnic-specific impacts on clinical biomarker levels. The Science of The Total Environment. 873. 162390–162390. 1 indexed citations
7.
Lesseur, Corina, Sean D. Kelly, Karen Hermetz, et al.. (2023). Effects of prenatal pesticide exposure on the fetal brain and placenta transcriptomes in a rodent model. Toxicology. 490. 153498–153498. 10 indexed citations
8.
Deyssenroth, Maya A., Sandra W. Jacobson, Joseph L. Jacobson, et al.. (2023). Alterations in Placental Inflammation-Related Gene Expression Partially Mediate the Effects of Prenatal Alcohol Consumption on Maternal Iron Homeostasis. Nutrients. 15(19). 4105–4105. 5 indexed citations
9.
Li, Qian, Corina Lesseur, Karen Hermetz, et al.. (2023). Associations between prenatal organophosphate pesticide exposure and placental gene networks. Environmental Research. 224. 115490–115490. 16 indexed citations
10.
Ursini, Gianluca, Pasquale Di Carlo, Qiang Chen, et al.. (2023). Prioritization of potential causative genes for schizophrenia in placenta. Nature Communications. 14(1). 2613–2613. 18 indexed citations
11.
Kennedy, Elizabeth M., Fu‐Ying Tian, Todd M. Everson, et al.. (2022). Variation in placental microRNA expression associates with maternal family history of cardiovascular disease. Journal of Developmental Origins of Health and Disease. 14(1). 132–139. 1 indexed citations
12.
Tekola‐Ayele, Fasil, Suvo Chatterjee, Marion Ouidir, et al.. (2022). Placental multi-omics integration identifies candidate functional genes for birthweight. Nature Communications. 13(1). 2384–2384. 13 indexed citations
13.
Hartman, Robin, Katherine Owsiany, Lijiang Ma, et al.. (2021). Sex-Stratified Gene Regulatory Networks Reveal Female Key Driver Genes of Atherosclerosis Involved in Smooth Muscle Cell Phenotype Switching. Circulation. 143(7). 713–726. 73 indexed citations
14.
Kennedy, Elizabeth M., Karen Hermetz, Amber Burt, et al.. (2020). Placental microRNA expression associates with birthweight through control of adipokines: results from two independent cohorts. Epigenetics. 16(7). 770–782. 14 indexed citations
15.
Wainberg, Michael, Nasa Sinnott-Armstrong, Nicholas Mancuso, et al.. (2019). Opportunities and challenges for transcriptome-wide association studies. Nature Genetics. 51(4). 592–599. 506 indexed citations breakdown →
16.
Clarkson-Townsend, Danielle, Todd M. Everson, Maya A. Deyssenroth, et al.. (2019). Maternal circadian disruption is associated with variation in placental DNA methylation. PLoS ONE. 14(4). e0215745–e0215745. 25 indexed citations
17.
Jiang, Yangqian, Hongzhi Zhao, Wei Xia, et al.. (2019). Prenatal exposure to benzophenones, parabens and triclosan and neurocognitive development at 2 years. Environment International. 126. 413–421. 74 indexed citations
18.
Peng, Shouneng, Maya A. Deyssenroth, Antonio Fabio Di Narzo, et al.. (2018). Genetic regulation of the placental transcriptome underlies birth weight and risk of childhood obesity. PLoS Genetics. 14(12). e1007799–e1007799. 34 indexed citations
19.
Li, Huichu, Jing Cai, Renjie Chen, et al.. (2017). Particulate Matter Exposure and Stress Hormone Levels. Circulation. 136(7). 618–627. 383 indexed citations breakdown →
20.
Bonome, Tomás, Dong-Choon Park, Mike Radonovich, et al.. (2005). Expression Profiling of Serous Low Malignant Potential, Low-Grade, and High-Grade Tumors of the Ovary. Cancer Research. 65(22). 10602–10612. 238 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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