Jianyong Wu

4.1k total citations · 1 hit paper
66 papers, 3.1k citations indexed

About

Jianyong Wu is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology and Pollution. According to data from OpenAlex, Jianyong Wu has authored 66 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 17 papers in Water Science and Technology and 12 papers in Pollution. Recurrent topics in Jianyong Wu's work include Fecal contamination and water quality (12 papers), Child Nutrition and Water Access (10 papers) and Water Treatment and Disinfection (8 papers). Jianyong Wu is often cited by papers focused on Fecal contamination and water quality (12 papers), Child Nutrition and Water Access (10 papers) and Water Treatment and Disinfection (8 papers). Jianyong Wu collaborates with scholars based in United States, China and Bangladesh. Jianyong Wu's co-authors include Justin V. Remais, Lei Wang, Peng Gong, Song Liang, Qingwu Jiang, Elizabeth J. Carlton, Jinhui Wang, Sarah Dorner, S. C. Long and Radhika Dhingra and has published in prestigious journals such as The Lancet, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Jianyong Wu

58 papers receiving 3.0k citations

Hit Papers

Urbanisation and health in China 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianyong Wu United States 25 777 543 376 342 309 66 3.1k
Elizabeth D. Hilborn United States 34 901 1.2× 601 1.1× 147 0.4× 380 1.1× 136 0.4× 67 3.6k
Dung Phung Australia 33 1.7k 2.2× 252 0.5× 302 0.8× 318 0.9× 296 1.0× 131 4.9k
Lorraine C. Backer United States 45 1.4k 1.7× 627 1.2× 242 0.6× 833 2.4× 268 0.9× 113 6.3k
Yanjie Wang China 36 591 0.8× 164 0.3× 527 1.4× 613 1.8× 270 0.9× 257 4.4k
James VanDerslice United States 24 516 0.7× 414 0.8× 203 0.5× 118 0.3× 55 0.2× 87 2.7k
Amir Sapkota United States 34 1.6k 2.1× 244 0.4× 219 0.6× 287 0.8× 460 1.5× 102 3.9k
David M. Oliver United Kingdom 36 406 0.5× 982 1.8× 522 1.4× 124 0.4× 399 1.3× 114 4.0k
Yuanan Lu United States 38 1.8k 2.4× 141 0.3× 472 1.3× 698 2.0× 323 1.0× 185 4.8k
David J. Beale Australia 33 378 0.5× 368 0.7× 316 0.8× 1.6k 4.6× 182 0.6× 135 4.0k
Hongyan Ren China 33 1.1k 1.4× 316 0.6× 822 2.2× 332 1.0× 508 1.6× 131 3.7k

Countries citing papers authored by Jianyong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jianyong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyong Wu. A scholar is included among the top collaborators of Jianyong Wu 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 Jianyong Wu. Jianyong Wu 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
2.
Lin, Mei‐Chun, et al.. (2025). Older adults’ Internet use behavior and its association with accelerometer-derived physical activity. Frontiers in Public Health. 13. 1537309–1537309.
3.
Wu, Jianyong, Yanni Cao, M. Sirajul Islam, & Michael Emch. (2025). Application of Machine Learning to Identify Influential Factors for Fecal Contamination of Shallow Groundwater. Water. 17(2). 160–160. 3 indexed citations
5.
Cao, Yanni, et al.. (2025). Unveiling complexity in blue spaces and life expectancy. Environmental Research. 281. 121981–121981.
6.
Wu, Jianyong, et al.. (2024). Association between Autism Spectrum Disorder and Environmental Quality in the United States. ISPRS International Journal of Geo-Information. 13(9). 308–308.
7.
Chen, Yanqiong, Jianwu Li, Arief Hidayat, et al.. (2024). Phylogenomics and biogeographical diversification of Collabieae (Orchidaceae) and its implication in the reconstruction of the dynamic history of Asian evergreen broadleaved forests. Molecular Phylogenetics and Evolution. 196. 108084–108084. 5 indexed citations
8.
Guo, Jinsong, et al.. (2024). Microplastics in wild fish in the Three Gorges Reservoir, China: A detailed investigation of their occurrence, characteristics, biomagnification and risk. Journal of Hazardous Materials. 478. 135551–135551. 16 indexed citations
9.
Wu, Jianyong, et al.. (2024). Microplastics in agricultural soils: A comprehensive perspective on occurrence, environmental behaviors and effects. Chemical Engineering Journal. 489. 151328–151328. 43 indexed citations
10.
Wu, Jianyong, Conghe Song, Eric A. Dubinsky, & Jill R. Stewart. (2021). Tracking Major Sources of Water Contamination Using Machine Learning. Frontiers in Microbiology. 11. 616692–616692. 26 indexed citations
11.
Wu, Jianyong. (2020). Challenges for Safe and Healthy Drinking Water in China. Current Environmental Health Reports. 7(3). 292–302. 46 indexed citations
12.
Wu, Jianyong. (2019). Diarrheal Diseases in Rural Bangladesh: Spatial-Temporal Patterns, Risk Factors and Pathogen Detection. Carolina Digital Repository (University of North Carolina at Chapel Hill).
13.
Wu, Jianyong, Kristen M. Rappazzo, Ross J. Simpson, et al.. (2018). Exploring links between greenspace and sudden unexpected death: A spatial analysis. Environment International. 113. 114–121. 29 indexed citations
14.
Wu, Jianyong, Petra Tschakert, Erasmus Klutse, et al.. (2015). Buruli Ulcer Disease and Its Association with Land Cover in Southwestern Ghana. PLoS neglected tropical diseases. 9(6). e0003840–e0003840. 32 indexed citations
15.
Wu, Jianyong, Ying Zhou, Yang Gao, et al.. (2013). Estimation and Uncertainty Analysis of Impacts of Future Heat Waves on Mortality in the Eastern United States. Environmental Health Perspectives. 122(1). 10–16. 107 indexed citations
17.
Wu, Jianyong, Otto D. Simmons, & Mark D. Sobsey. (2013). Uncertainty analysis of the recovery of hollow-fiber ultrafiltration for multiple microbe classes from water: A Bayesian approach. Journal of Microbiological Methods. 93(3). 161–167. 10 indexed citations
18.
Wu, Jianyong, Paula Rees, & Philip S. Brenner. (2011). Variability of E. coli density and sources in an urban watershed. Journal of Water and Health. 9(1). 94–106. 27 indexed citations
19.
Wang, Jinhui & Jianyong Wu. (2009). Occurrence and potential risks of harmful algal blooms in the East China Sea. The Science of The Total Environment. 407(13). 4012–4021. 161 indexed citations
20.
Wu, Jianyong, et al.. (2006). Marine Algal Toxins in Shellfish from Shanghai Markets and Original Sources Following a Large Scale Red Tide Occurrence. Bulletin of Environmental Contamination and Toxicology. 77(2). 164–170. 4 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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