Xiling Wang

3.2k total citations
65 papers, 1.2k citations indexed

About

Xiling Wang is a scholar working on Epidemiology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Xiling Wang has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 19 papers in Modeling and Simulation and 12 papers in Molecular Biology. Recurrent topics in Xiling Wang's work include Influenza Virus Research Studies (22 papers), COVID-19 epidemiological studies (19 papers) and Respiratory viral infections research (10 papers). Xiling Wang is often cited by papers focused on Influenza Virus Research Studies (22 papers), COVID-19 epidemiological studies (19 papers) and Respiratory viral infections research (10 papers). Xiling Wang collaborates with scholars based in China, Hong Kong and United Kingdom. Xiling Wang's co-authors include Xiang Zhang, Xueying Zheng, Hongjie Yu, Yi Zhun Zhu, Yapeng Li, Haining Zhen, Weijun Wu, Guoyou Qin, Jing Li and Juanjuan Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Cancer.

In The Last Decade

Xiling Wang

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiling Wang China 23 413 265 207 192 148 65 1.2k
Jinhui Zhang China 20 233 0.6× 430 1.6× 50 0.2× 176 0.9× 146 1.0× 95 1.6k
Panpan Chen China 23 204 0.5× 556 2.1× 40 0.2× 377 2.0× 116 0.8× 101 1.8k
Xueqin Chen China 24 225 0.5× 462 1.7× 77 0.4× 241 1.3× 304 2.1× 156 1.8k
Huiwen Liu China 18 174 0.4× 463 1.7× 30 0.1× 83 0.4× 54 0.4× 59 961
Hiroshi Ueki Japan 16 74 0.2× 276 1.0× 96 0.5× 96 0.5× 157 1.1× 79 1.0k
Mathew Suji Eapen Australia 22 144 0.3× 380 1.4× 37 0.2× 180 0.9× 129 0.9× 68 1.7k
Lin Xu China 26 605 1.5× 448 1.7× 23 0.1× 379 2.0× 128 0.9× 84 1.8k
Dandan Guo China 13 103 0.2× 152 0.6× 156 0.8× 103 0.5× 225 1.5× 56 866
Xiaohui Sun China 19 121 0.3× 602 2.3× 40 0.2× 471 2.5× 239 1.6× 79 1.8k
Yue Yuan China 18 184 0.4× 848 3.2× 18 0.1× 144 0.8× 73 0.5× 55 1.6k

Countries citing papers authored by Xiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiling Wang. A scholar is included among the top collaborators of Xiling 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 Xiling Wang. Xiling 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
1.
2.
Tao, Fangfang, et al.. (2024). Forecasting influenza epidemics in China using transmission dynamic model with absolute humidity. Infectious Disease Modelling. 10(1). 50–59. 1 indexed citations
3.
Jiang, Li, et al.. (2023). High Fat-to-Muscle Ratio Was Associated with Increased Clinical Severity in Patients with Abdominal Trauma. Journal of Clinical Medicine. 12(4). 1503–1503. 1 indexed citations
4.
Yu, Wenkui, et al.. (2023). Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study. JMIR Formative Research. 7. e42452–e42452. 17 indexed citations
5.
Xia, Jizhe, Kun Yin, Yang Yue, et al.. (2023). Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study. JMIR Public Health and Surveillance. 9. e39588–e39588. 6 indexed citations
6.
7.
Zheng, Hao, Hung Chak Ho, Xiling Wang, et al.. (2022). Urban-rural disparity in heatwave effects on diabetes mortality in eastern China: A case-crossover analysis in 2016–2019. The Science of The Total Environment. 858(Pt 2). 160026–160026. 18 indexed citations
8.
Wang, Yiping, et al.. (2022). Heterogeneity in Estimates of Incidence and Prevalence of Narcolepsy: A Systematic Review and Meta-Regression Analysis. Neuroepidemiology. 56(5). 319–332. 6 indexed citations
9.
Li, Jing, Chunfang Wang, Chuchu Ye, et al.. (2021). Development of influenza-associated disease burden pyramid in Shanghai, China, 2010–2017: a Bayesian modelling study. BMJ Open. 11(9). e047526–e047526. 8 indexed citations
10.
Wang, Xiling, Jie Chen, Nana Ma, & Zhiqi Cong. (2020). Selective Hydroxylation of Alkanes Catalyzed by Cytochrome P450 Enzymes. Acta Chimica Sinica. 78(6). 490–490. 10 indexed citations
11.
Ma, Guang‐Lei, Xiling Wang, Junmin Li, et al.. (2020). Cytotoxic secondary metabolites from the vulnerable conifer Cephalotaxus oliveri and its associated endophytic fungus Alternaria alternate Y-4-2. Bioorganic Chemistry. 105. 104445–104445. 21 indexed citations
12.
Virlogeux, Victor, Shuo Feng, Tim K. Tsang, et al.. (2018). Evaluation of animal-to-human and human-to-human transmission of influenza A (H7N9) virus in China, 2013–15. Scientific Reports. 8(1). 552–552. 20 indexed citations
13.
Yu, Xinchun, Chunfang Wang, Tao Chen, et al.. (2017). Excess pneumonia and influenza mortality attributable to seasonal influenza in subtropical Shanghai, China. BMC Infectious Diseases. 17(1). 756–756. 12 indexed citations
14.
Chu, Yanhui, Zhenyu Wu, Jiayi Ji, et al.. (2017). Effects of school breaks on influenza-like illness incidence in a temperate Chinese region: an ecological study from 2008 to 2015. BMJ Open. 7(3). e013159–e013159. 13 indexed citations
15.
Wang, Xiling, et al.. (2016). Utilization status and prospect of methanol industrial chain in China. 36(9). 7. 1 indexed citations
16.
Wang, Xiling, et al.. (2016). The efficacy and safety of immunotherapy in patients with advanced NSCLC: a systematic review and meta-analysis. Scientific Reports. 6(1). 32020–32020. 24 indexed citations
17.
Ma, Han, et al.. (2016). Time series analysis of the association between ambient temperature and cerebrovascular morbidity in the elderly in Shanghai, China. Scientific Reports. 6(1). 19052–19052. 10 indexed citations
18.
Liu, Xinhua, Xiling Wang, Hong Xin, et al.. (2015). Induction of Heme Oxygenase-1 by Sodium 9-Hydroxyltanshinone IIA Sulfonate Derivative Contributes to Inhibit LPS-Mediated Inflammatory Response in Macrophages. Cellular Physiology and Biochemistry. 36(4). 1316–1330. 12 indexed citations
19.
Cao, Peihua, Xin Wang, Shisong Fang, et al.. (2014). Forecasting Influenza Epidemics from Multi-Stream Surveillance Data in a Subtropical City of China. PLoS ONE. 9(3). e92945–e92945. 8 indexed citations
20.
Fei, Zhou, Xiang Zhang, Hongmin Bai, Xiaofan Jiang, & Xiling Wang. (2006). Metabotropic glutamate receptor antagonists and agonists: Potential neuroprotectors in diffuse brain injury. Journal of Clinical Neuroscience. 13(10). 1023–1027. 24 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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