Linghan Shan

1.0k total citations
41 papers, 685 citations indexed

About

Linghan Shan is a scholar working on General Health Professions, Finance and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Linghan Shan has authored 41 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in General Health Professions, 24 papers in Finance and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Linghan Shan's work include Healthcare Systems and Reforms (24 papers), Global Health Care Issues (21 papers) and Global Maternal and Child Health (13 papers). Linghan Shan is often cited by papers focused on Healthcare Systems and Reforms (24 papers), Global Health Care Issues (21 papers) and Global Maternal and Child Health (13 papers). Linghan Shan collaborates with scholars based in China, Australia and United States. Linghan Shan's co-authors include Qunhong Wu, Ye Li, Yanhua Hao, Libo Liang, Mingli Jiao, Chaojie Liu, Zheng Kang, Ding Ding, Lijun Gao and Xinye Qi and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Nutrients.

In The Last Decade

Linghan Shan

38 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linghan Shan China 16 382 280 159 137 77 41 685
Keqin Rao China 10 333 0.9× 282 1.0× 147 0.9× 177 1.3× 105 1.4× 14 638
Weiyan Jian China 15 355 0.9× 327 1.2× 303 1.9× 126 0.9× 99 1.3× 56 721
Dongfu Qian China 13 191 0.5× 173 0.6× 118 0.7× 92 0.7× 71 0.9× 43 518
Hannah Hamavid United States 9 242 0.6× 86 0.3× 191 1.2× 175 1.3× 43 0.6× 10 642
Dahai Yue United States 13 285 0.7× 139 0.5× 163 1.0× 89 0.6× 180 2.3× 39 598
Juncheng Qian China 6 273 0.7× 327 1.2× 149 0.9× 205 1.5× 98 1.3× 6 649
Xiaohua Ying China 15 225 0.6× 210 0.8× 239 1.5× 70 0.5× 61 0.8× 47 646
Patricia Soliz United States 11 226 0.6× 112 0.4× 97 0.6× 139 1.0× 106 1.4× 20 708
Elena A. Varavikova United States 8 324 0.8× 87 0.3× 101 0.6× 82 0.6× 134 1.7× 10 631
Dipti Govil India 12 177 0.5× 107 0.4× 73 0.5× 215 1.6× 96 1.2× 30 621

Countries citing papers authored by Linghan Shan

Since Specialization
Citations

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

Fields of papers citing papers by Linghan Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linghan Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Linghan Shan. A scholar is included among the top collaborators of Linghan Shan 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 Linghan Shan. Linghan Shan 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.
Liu, Xinwei, Bing Wu, Yiyun Zhang, et al.. (2025). Health poverty reduction effect of medical insurance in China’s middle-aged and elderly populations: a cross-sectional study. BMJ Open. 15(4). e085226–e085226.
2.
Zhou, Zili, Huan Liu, Linghan Shan, et al.. (2025). Medical insurance-related professionals’ identification of the benefits of the medical insurance system in Northeast China: a cross-sectional study. BMC Health Services Research. 25(1). 139–139.
3.
Li, Cui, Jingmin Zhu, Linghan Shan, et al.. (2024). Impact of medical insurance access negotiation on the utilization of innovative anticancer drugs in China: an interrupted time series analysis. BMC Health Services Research. 24(1). 90–90. 3 indexed citations
4.
Wang, Peng, Shuyi Li, Zhizhen Wang, et al.. (2023). Perceptions of the benefits of the basic medical insurance system among the insured: a mixed methods research of a northern city in China. Frontiers in Public Health. 11. 1043153–1043153. 5 indexed citations
5.
6.
Liu, Jingjing, Kexin Wang, Ye Li, et al.. (2023). Perspectives and evaluation on the effect of financial burden relief of medical insurance for people with catastrophic diseases and its influencing factors. Frontiers in Public Health. 11. 1123023–1123023. 2 indexed citations
7.
Wang, Jiahui, Xinye Qi, Linghan Shan, et al.. (2022). What fragile factors hinder the pace of China’s alleviation efforts of the poverty-stricken population? A study from the perspective of impoverishment caused by medical expenses. BMC Health Services Research. 22(1). 963–963. 6 indexed citations
8.
9.
Hao, Yanhua, Yu Cui, Xiaowen Zhao, et al.. (2022). Attitudes of medical professionals towards patient-centredness: a cross-sectional study in H City, China. BMJ Open. 12(1). e045542–e045542. 5 indexed citations
10.
11.
Zhang, Xiyu, Qi Xia, Bing Wu, et al.. (2022). Spatial effects of air pollution on the economic burden of disease: implications of health and environment crisis in a post-COVID-19 world. International Journal for Equity in Health. 21(1). 161–161. 3 indexed citations
12.
Gao, Shanshan, Linghan Shan, Mingli Jiao, et al.. (2022). Epidemiological trend in scarlet fever incidence in China during the COVID-19 pandemic: A time series analysis. Frontiers in Public Health. 10. 923318–923318. 5 indexed citations
13.
Zhang, Xiyu, Baoguo Shi, Bing Wu, et al.. (2022). Multi-dimensional vulnerability analysis on catastrophic health expenditure among middle-aged and older adults with chronic diseases in China. BMC Medical Research Methodology. 22(1). 151–151. 12 indexed citations
14.
Zhu, Hong, Jingmin Zhu, Yingyu Zhou, et al.. (2022). Impact of the National Reimbursement Drug List Negotiation Policy on Accessibility of Anticancer Drugs in China: An Interrupted Time Series Study. Frontiers in Public Health. 10. 921093–921093. 23 indexed citations
15.
Xia, Qi, Lichun Wu, Xiyu Zhang, et al.. (2021). Ten-Year Poverty Alleviation Effect of the Medical Insurance System on Families With Members Who Have a Non-communicable Disease: Evidence From Heilongjiang Province in China. Frontiers in Public Health. 9. 705488–705488. 5 indexed citations
16.
17.
Wang, Jiahui, Huan Liu, Ke Wu, et al.. (2020). Can the reform of integrating health insurance reduce inequity in catastrophic health expenditure? Evidence from China. International Journal for Equity in Health. 19(1). 49–49. 39 indexed citations
18.
Zhao, Miaomiao, Baohua Liu, Linghan Shan, et al.. (2019). Can integration reduce inequity in healthcare utilization? Evidence and hurdles in China. BMC Health Services Research. 19(1). 654–654. 19 indexed citations
19.
Shan, Linghan, Qunhong Wu, Chaojie Liu, et al.. (2017). Perceived challenges to achieving universal health coverage: a cross-sectional survey of social health insurance managers/administrators in China. BMJ Open. 7(5). e014425–e014425. 39 indexed citations
20.
Shan, Linghan, Ye Li, Ding Ding, et al.. (2016). Patient Satisfaction with Hospital Inpatient Care: Effects of Trust, Medical Insurance and Perceived Quality of Care. PLoS ONE. 11(10). e0164366–e0164366. 125 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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