Chunlin Jin

1.8k total citations · 1 hit paper
65 papers, 1.1k citations indexed

About

Chunlin Jin is a scholar working on Economics and Econometrics, General Health Professions and Epidemiology. According to data from OpenAlex, Chunlin Jin has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 17 papers in General Health Professions and 14 papers in Epidemiology. Recurrent topics in Chunlin Jin's work include Healthcare Systems and Reforms (12 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Global Health Care Issues (11 papers). Chunlin Jin is often cited by papers focused on Healthcare Systems and Reforms (12 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Global Health Care Issues (11 papers). Chunlin Jin collaborates with scholars based in China, Japan and Sweden. Chunlin Jin's co-authors include Zeyun Feng, Shanlian Hu, Hein Raat, Marjolein Lugtenberg, Carmen Betsy Franse, Peipei Song, Jiangjiang He, Hansheng Ding, Wenhua Tian and Haiyin Wang and has published in prestigious journals such as PLoS ONE, Sensors and Environmental Research.

In The Last Decade

Chunlin Jin

59 papers receiving 1.1k citations

Hit Papers

Risk factors and protective factors associated with incid... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunlin Jin China 18 364 303 266 230 156 65 1.1k
Paula Chatterjee United States 17 306 0.8× 158 0.5× 187 0.7× 461 2.0× 101 0.6× 54 1.2k
Ana Patricia Ayala Canada 18 261 0.7× 484 1.6× 359 1.3× 430 1.9× 94 0.6× 49 1.6k
Michael Laxy Germany 21 216 0.6× 54 0.2× 263 1.0× 292 1.3× 60 0.4× 98 1.4k
Yazed AlRuthia Saudi Arabia 17 186 0.5× 158 0.5× 37 0.1× 198 0.9× 34 0.2× 108 1.1k
Roberto Nuño-Solínis Spain 23 382 1.0× 134 0.4× 39 0.1× 719 3.1× 110 0.7× 108 1.8k
Livio Garattini Italy 25 825 2.3× 65 0.2× 72 0.3× 281 1.2× 50 0.3× 133 1.8k
Felicity Dewhurst United Kingdom 17 93 0.3× 117 0.4× 99 0.4× 154 0.7× 61 0.4× 61 749
Piotr Merks Poland 15 134 0.4× 254 0.8× 46 0.2× 140 0.6× 84 0.5× 93 790
Rosa Rodríguez-Monguió United States 21 330 0.9× 161 0.5× 93 0.3× 145 0.6× 23 0.1× 94 1.3k
Emily R. Cox Australia 20 610 1.7× 193 0.6× 131 0.5× 183 0.8× 16 0.1× 56 1.5k

Countries citing papers authored by Chunlin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chunlin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunlin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chunlin Jin. A scholar is included among the top collaborators of Chunlin Jin 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 Chunlin Jin. Chunlin Jin 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.
Jin, Chunlin, et al.. (2025). The significance of smart healthcare for China's healthcare reform. 5(4). 269–272.
2.
Wang, Sheng, et al.. (2025). Drivers of innovation value: simulation for new drug pricing evaluation based on system dynamics modelling. Frontiers in Pharmacology. 16. 1474856–1474856. 1 indexed citations
3.
Zhu, Lin, Jiahao Hu, Dingguo Li, et al.. (2025). Disease burden and health-related quality of life among children with X-linked hypophosphataemia in China: a national cross-sectional survey. BMJ Paediatrics Open. 9(1). e003165–e003165.
4.
Liu, Mengying, Anqi Wang, Da He, et al.. (2024). Analysis of Factors Influencing Hospitalization Expenses of Patients With Gastric Cancer in Shanghai, 2014-2021: Based on Grey Relational Analysis and Structural Equation Modeling. Value in Health Regional Issues. 44. 101029–101029. 2 indexed citations
5.
Yang, Yan, et al.. (2024). Health service utilization, economic burden and quality of life of patients with mucopolysaccharidosis in China. Orphanet Journal of Rare Diseases. 19(1). 324–324. 1 indexed citations
6.
Chen, Minxing, et al.. (2024). Protecting the socioeconomic rights and interests of patients with rare diseases based on an innovative payment mechanism. Intractable & Rare Diseases Research. 13(4). 203–207.
8.
Wang, Huishan, et al.. (2023). Cost-effectiveness of stereotactic body radiotherapy versus conventional fractionated radiotherapy for medically inoperable, early-stage non-small cell lung cancer. Cost Effectiveness and Resource Allocation. 21(1). 46–46. 1 indexed citations
9.
Ma, Tianming, et al.. (2023). The mechanism of oxymatrine on atopic dermatitis in mice based on SOCS1/JAK-STAT3 pathway. Frontiers in Pharmacology. 13. 1091090–1091090. 10 indexed citations
10.
Wang, Anqi, et al.. (2023). Comparison of Rare and Common Diseases in the Setting of Healthcare Priorities: Evidence of Social Preferences Based on a Systematic Review. Patient Preference and Adherence. Volume 17. 1783–1797. 2 indexed citations
11.
Jin, Chunlin, et al.. (2022). Preference to Family Doctor Contracted Service of Patients with Chronic Disease in Urban China: A Discrete Choice Experiment. Patient Preference and Adherence. Volume 16. 2103–2114. 4 indexed citations
12.
Ochalek, Jessica, Haiyin Wang, Yuanyuan Gu, et al.. (2020). Informing a Cost-Effectiveness Threshold for Health Technology Assessment in China: A Marginal Productivity Approach. PharmacoEconomics. 38(12). 1319–1331. 58 indexed citations
13.
Wang, Haiyin, Peipei Song, Yuanyuan Gu, Liz Schroeder, & Chunlin Jin. (2020). Rapid health systems change: online medical consultations to fight COVID-19. Annals of Translational Medicine. 8(11). 726–726. 3 indexed citations
14.
15.
Bai, Guannan, Dafna A. Windhorst, David Feeny, et al.. (2018). Feasibility and validity of the Health Status Classification System-Preschool (HSCS-PS) in a large community sample: the Generation R study. BMJ Open. 8(12). e022449–e022449. 8 indexed citations
16.
Zhou, Wentao, et al.. (2017). [Influential factors of inpatient care among 
residents in Shanghai].. PubMed. 42(12). 1432–1438. 1 indexed citations
17.
Shi, Jianwei, et al.. (2017). Charting a path forward: policy analysis of China's evolved DRG-based hospital payment system. International Health. 9(5). 317–324. 32 indexed citations
18.
Wang, Haiyin, Chunlin Jin, Wei Wang, et al.. (2015). Development of price comparison method system for Shanghai's medical service pricing. Zhonghua yiyuan guanli zazhi. 31(8). 627–630. 2 indexed citations
19.
Zhang, Wei, Hansheng Ding, Rong Chen, et al.. (2015). Does disability predict attempted suicide in the elderly? A community-based study of elderly residents in Shanghai, China. Aging & Mental Health. 20(1). 81–87. 23 indexed citations
20.
Jin, Chunlin, et al.. (2003). Face Detection in Color Image. 한국정보과학회 학술발표논문집. 30. 559–561. 45 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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