Jay Pan

5.6k total citations · 2 hit papers
148 papers, 3.7k citations indexed

About

Jay Pan is a scholar working on General Health Professions, Finance and Economics and Econometrics. According to data from OpenAlex, Jay Pan has authored 148 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in General Health Professions, 72 papers in Finance and 56 papers in Economics and Econometrics. Recurrent topics in Jay Pan's work include Healthcare Systems and Reforms (72 papers), Global Health Care Issues (59 papers) and Healthcare Policy and Management (42 papers). Jay Pan is often cited by papers focused on Healthcare Systems and Reforms (72 papers), Global Health Care Issues (59 papers) and Healthcare Policy and Management (42 papers). Jay Pan collaborates with scholars based in China, United States and United Kingdom. Jay Pan's co-authors include Xuezheng Qin, Gordon G. Liu, Winnie Yip, Yili Yang, Hongqiao Fu, Weiyan Jian, Tiemin Zhai, Xiuli Wang, Zhongliang Zhou and Min Hu and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jay Pan

138 papers receiving 3.6k citations

Hit Papers

10 years of health-care reform in China: progress and gap... 2019 2026 2021 2023 2019 2023 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
Jay Pan China 33 1.5k 1.3k 1.0k 558 555 148 3.7k
Yuanli Liu China 33 1.6k 1.1× 1.3k 1.0× 1.0k 1.0× 826 1.5× 484 0.9× 147 4.5k
Ajay Mahal Australia 36 2.0k 1.3× 1.2k 0.9× 916 0.9× 954 1.7× 322 0.6× 139 4.9k
Gordon G. Liu China 30 1.2k 0.8× 801 0.6× 1.2k 1.2× 410 0.7× 351 0.6× 115 3.7k
Abdul Ghaffar Switzerland 29 1.2k 0.8× 468 0.4× 711 0.7× 869 1.6× 183 0.3× 131 3.5k
Catherine Kyobutungi Kenya 36 1.2k 0.8× 386 0.3× 463 0.5× 923 1.7× 507 0.9× 132 4.6k
Mihajlo Jakovljević Serbia 32 1.4k 0.9× 926 0.7× 1.0k 1.0× 484 0.9× 347 0.6× 141 3.3k
Laura Dwyer‐Lindgren United States 24 1.5k 1.0× 425 0.3× 459 0.5× 1.6k 2.9× 842 1.5× 47 5.5k
Nawi Ng Sweden 38 1.1k 0.7× 439 0.3× 311 0.3× 729 1.3× 755 1.4× 180 4.9k
Nigel Rice United Kingdom 40 2.8k 1.8× 364 0.3× 2.3k 2.3× 298 0.5× 996 1.8× 121 5.0k
Qingyue Meng China 41 2.9k 1.9× 2.9k 2.2× 2.0k 2.0× 1.4k 2.5× 781 1.4× 147 5.8k

Countries citing papers authored by Jay Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jay Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Pan. A scholar is included among the top collaborators of Jay Pan 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 Jay Pan. Jay Pan 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.
Xu, Dong, et al.. (2024). Spatial Access to Continuous Maternal and Perinatal Health Care Services in Low-Resource Settings: Cross-Sectional Study. JMIR Public Health and Surveillance. 10. e49367–e49367. 2 indexed citations
3.
Tao, Wenjuan, et al.. (2024). Public Heterogeneous Preferences for Low-Dose Computed Tomography Lung Cancer Screening Service Delivery in Western China: A Discrete Choice Experiment. International Journal of Health Policy and Management. 13. 8259–8259.
4.
Wang, Xiuli, Barnabas C. Seyler, Ting Chen, et al.. (2024). Disparity in healthcare seeking behaviors between impoverished and non-impoverished populations with implications for healthcare resource optimization. Humanities and Social Sciences Communications. 11(1). 6 indexed citations
5.
Song, Chao, Lina Fang, Mingyu Xie, et al.. (2024). Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties. BMC Public Health. 24(1). 423–423. 15 indexed citations
6.
Wang, Jianjian, Dong Xu, Hongqiao Fu, et al.. (2024). Development of the China’s list of ambulatory care sensitive conditions (ACSCs): a study protocol. Global Health Research and Policy. 9(1). 11–11. 5 indexed citations
7.
Ju, Ke, Zhikang Wang, Ting Chen, et al.. (2023). Causal effects of maternal exposure to PM2.5 during pregnancy on depression symptoms in adolescence: Identifying vulnerable windows and subpopulations in a national cohort study. Environmental Research. 231(Pt 1). 116066–116066. 3 indexed citations
8.
Yip, Winnie, Hongqiao Fu, Weiyan Jian, et al.. (2023). Universal health coverage in China part 2: addressing challenges and recommendations. The Lancet Public Health. 8(12). e1035–e1042. 22 indexed citations
11.
Wang, Jianjian, et al.. (2023). Measuring low-value care in hospital discharge records: evidence from China. The Lancet Regional Health - Western Pacific. 38. 100887–100887. 3 indexed citations
12.
Pan, Jay, Mingyu Xie, Shaobin Wang, et al.. (2022). Spatiotemporal heterogeneity in associations of national population ageing with socioeconomic and environmental factors at the global scale. Journal of Cleaner Production. 373. 133781–133781. 12 indexed citations
13.
Zhou, Qian, Tian Tian, Jie Ni, et al.. (2021). COVID-19 Vaccination Acceptance in China after It Becomes Available: A Cross-Sectional Study. Vaccines. 9(12). 1398–1398. 7 indexed citations
14.
Tian, Fan & Jay Pan. (2021). Hospital bed supply and inequality as determinants of maternal mortality in China between 2004 and 2016. International Journal for Equity in Health. 20(1). 51–51. 36 indexed citations
15.
Chen, Ting, et al.. (2021). Governmental Investments in Hospital Infrastructure Among Regions and Its Efficiency in China: An Assessment of Building Construction. Frontiers in Public Health. 9. 719839–719839. 17 indexed citations
16.
Dumville, Jo C, et al.. (2020). Epidemiology and disease burden of complex wounds for inpatients in China: an observational study from Sichuan province. BMJ Open. 10(11). e039894–e039894. 13 indexed citations
17.
Ju, Ke, et al.. (2020). The association between internal migration and pulmonary tuberculosis in China, 2005–2015: a spatial analysis. Infectious Diseases of Poverty. 9(1). 5–5. 19 indexed citations
18.
Xu, Dong, Mengyao Hu, Jing Liao, et al.. (2019). Assessing the quality of primary healthcare in seven Chinese provinces with unannounced standardised patients: protocol of a cross-sectional survey. BMJ Open. 9(2). e023997–e023997. 15 indexed citations
19.
Zhou, Qian, Li Zhao, Longhao Zhang, et al.. (2019). Neighborhood supermarket access and childhood obesity: A systematic review. Obesity Reviews. 22(S1). e12937–e12937. 43 indexed citations
20.
Chen, Fei, et al.. (2018). The Effect of China’s National Essential Medicine Policy on Health Expenses: Evidence From a National Study. INQUIRY The Journal of Health Care Organization Provision and Financing. 55. 1141339889–1141339889. 19 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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