Jiao Wang

6.3k total citations · 2 hit papers
273 papers, 3.8k citations indexed

About

Jiao Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Jiao Wang has authored 273 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Pulmonary and Respiratory Medicine, 41 papers in Molecular Biology and 37 papers in Epidemiology. Recurrent topics in Jiao Wang's work include Lung Cancer Diagnosis and Treatment (17 papers), Lung Cancer Treatments and Mutations (16 papers) and Dementia and Cognitive Impairment Research (15 papers). Jiao Wang is often cited by papers focused on Lung Cancer Diagnosis and Treatment (17 papers), Lung Cancer Treatments and Mutations (16 papers) and Dementia and Cognitive Impairment Research (15 papers). Jiao Wang collaborates with scholars based in China, Sweden and United States. Jiao Wang's co-authors include Lijun Pan, Jin Shen, Junqi Wang, Liubo Zhang, Yujing Zhang, Dan Ye, Yan Xu, Wenjing Yang, Xinwu Li and Mengna Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Jiao Wang

245 papers receiving 3.7k citations

Hit Papers

Disinfection technology of hospital wastes and wastewater... 2020 2026 2022 2024 2020 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiao Wang China 28 702 510 415 361 333 273 3.8k
Alice Santos‐Silva Portugal 40 376 0.5× 945 1.9× 334 0.8× 467 1.3× 266 0.8× 229 5.9k
Yu‐Chun Chen Taiwan 41 438 0.6× 553 1.1× 373 0.9× 1.3k 3.7× 219 0.7× 282 5.7k
Bin Li China 35 342 0.5× 1.3k 2.5× 196 0.5× 311 0.9× 791 2.4× 273 4.9k
Liying Wang China 35 870 1.2× 872 1.7× 213 0.5× 542 1.5× 410 1.2× 183 4.0k
Jacek Baj Poland 26 714 1.0× 1.3k 2.5× 131 0.3× 827 2.3× 802 2.4× 113 4.5k
Wei Zhou China 31 526 0.7× 939 1.8× 250 0.6× 435 1.2× 317 1.0× 282 4.0k
Woo Jin Kim South Korea 39 1.6k 2.3× 1.3k 2.5× 233 0.6× 282 0.8× 289 0.9× 376 5.5k
Yasunori Sato Japan 41 1.6k 2.3× 1.0k 2.0× 328 0.8× 973 2.7× 860 2.6× 378 6.8k
Ying Li China 34 319 0.5× 683 1.3× 225 0.5× 1.6k 4.5× 252 0.8× 386 4.5k
Yong‐Jae Lee South Korea 42 402 0.6× 1.0k 2.0× 632 1.5× 587 1.6× 474 1.4× 370 6.5k

Countries citing papers authored by Jiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Wang. A scholar is included among the top collaborators of Jiao Wang 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 Jiao Wang. Jiao Wang 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.
Zhang, Lulu, Jiao Wang, Abigail Dove, et al.. (2025). Injurious Falls before, during, and after Stroke Diagnosis: A Population-based Study. Journal of the American Medical Directors Association. 26(3). 105465–105465.
3.
Li, Haibin, Frank Qian, Man Ping Wang, et al.. (2025). Trajectory of cognitive decline before and after incident arrhythmias in older adults: A 16‐year population‐based longitudinal cohort study. Alzheimer s & Dementia. 21(5). e70260–e70260.
4.
Xiao, Lin, Jiao Wang, Wei Sen Zhang, et al.. (2025). Maximal weight change during adulthood and breast cancer risk: A 14-year follow-up of the Guangzhou Biobank Cohort Study. Cancer Epidemiology. 97. 102825–102825.
5.
Dove, Abigail, Jie Guo, Jiao Wang, et al.. (2024). Cardiometabolic disease, cognitive decline, and brain structure in middle and older age. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(2). e12566–e12566. 3 indexed citations
6.
Yang, Rongrong, et al.. (2024). The association of a low-inflammatory diet with the trajectory of multimorbidity: a large community-based longitudinal study. American Journal of Clinical Nutrition. 120(5). 1185–1194. 3 indexed citations
7.
Zhang, Qing, Qiang Wang, Jiao Wang, et al.. (2024). Pharmacokinetic profiling of ZCL-278, a cdc42 inhibitor, and its effectiveness against chronic kidney disease. Biomedicine & Pharmacotherapy. 179. 117329–117329. 1 indexed citations
8.
Yang, Wenzhe, Yuyang Miao, Abigail Dove, et al.. (2024). Relation of Cognitive Reserve Indicator to Heart Disease and Cardiac Structure and Function: A Large Community‐Based Longitudinal Study. Journal of the American Heart Association. 13(17). e033249–e033249. 1 indexed citations
9.
Wang, Pei, et al.. (2023). Chaihu-Longgu-Muli Decoction promotes sleep in mice with insomnia. Tropical Journal of Pharmaceutical Research. 22(5). 1037–1042. 1 indexed citations
11.
Mao, Li, et al.. (2023). Serum Cystatin C is a potential biomarker for predicting amyotrophic lateral sclerosis survival. Neurological Sciences. 45(1). 197–201. 6 indexed citations
12.
Guo, Jie, Abigail Dove, Jiao Wang, et al.. (2023). Trajectories of olfactory identification preceding incident mild cognitive impairment and dementia: a longitudinal study. EBioMedicine. 98. 104862–104862. 8 indexed citations
13.
Yan, Shiyu, Jiao Wang, & Zhineng Hu. (2023). Assessment of the effects of targeted poverty alleviation policy on differently poverty‐stricken households: A multi‐propensity score weighting model. Review of Development Economics. 27(3). 1792–1833. 3 indexed citations
14.
Wang, Zhangyu, Jiao Wang, Jie Guo, et al.. (2023). Association of Motor Function With Cognitive Trajectories and Structural Brain Differences. Neurology. 101(17). e1718–e1728. 11 indexed citations
15.
Chen, Jianrong, et al.. (2022). TTN mutations predict a poor prognosis in patients with thyroid cancer. Bioscience Reports. 42(7). 25 indexed citations
16.
Yuan, Ye, Lihong Wang, Xianxian Zhao, et al.. (2022). The E3 ubiquitin ligase HUWE1 acts through the N‐Myc‐DLL1‐NOTCH1 signaling axis to suppress glioblastoma progression. Cancer Communications. 42(9). 868–886. 19 indexed citations
17.
Wang, Jingya, Jiao Wang, Xuerui Li, et al.. (2022). Association of Pulmonary Function With Motor Function Trajectories and Disability Progression Among Older Adults: A Long-Term Community-Based Cohort Study. The Journals of Gerontology Series A. 77(12). 2524–2531. 4 indexed citations
18.
Nguyen, Viet Hoang & Jiao Wang. (2019). The Australian Economy in 2018–2019: Convergence in Economic Activity across Australia. Australian Economic Review. 52(1). 5–18. 2 indexed citations
19.
Wang, Jiao, Zhimin Wang, Shanshan Chen, et al.. (2019). A simple nonlaboratory-based risk score to identify diabetic kidney disease in Chinese patients with type 2 diabetes mellitus. 11(8). 549–554. 2 indexed citations
20.
Zhang, Ruyi, Jiao Wang, Jinhua Luo, et al.. (2015). Cutoff value of HbA1c for predicting diabetes and prediabetes in a Chinese high risk population aged over 45.. PubMed. 24(3). 360–6. 1 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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