Ning Ning

3.0k citations
84 papers · 2.2k · 1 hit paper · h-index 24

Impact in

Papers in

Ning Ning

77 papers receiving 2.2k citations

Ning Ning's Hit Papers

Factors affecting catastrophic health expenditure and impoverishment from medical expenses in China: policy implications of universal health insurance 2012 · 337 citations
3370+4+9Years since publication100200300

Peers

Ning Ning
Comparison fields: 5 of 170
  • Finance 463
  • General Health Professions 249
  • Emergency Medical Services 56
  • Pediatrics, Perinatology and Child Health 154
  • Health 57
Replace Lan Yao with:
Lan Yao China
Bin Zhu China
Shashi K Kant India
John D. Porter United Kingdom
Beena Elizabeth Thomas India
Tom Loney United Arab Emirates
Jing Yuan China
Bo Zhang United States
Shanquan Chen China
David D. Kim United States
Ning Ning relative to Lan Yao China Lan Yao's profile →
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Countries citing papers authored by Ning Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ning Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Ning Line = papers co-authored together Ning Ning links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Factors affecting catastrophic health expenditure and impoverishment from medical expenses in China: policy implications of universal health insurance
Hit paper breakdown →
2012337
2 2013198
3 2020176
4 2017129
5 2014105
6 201293
7 201173
8 201470
9 201269
10 200952
11 201351
12 201149
13 200647
14 201944
15 201241
16 201739
17 202338
18 201738
19 201937
20 201036

About Ning Ning

Ning Ning is a scholar working on Finance, Emergency Medical Services, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Clinical Psychology, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (8 papers), Disaster Response and Management (4 papers), Plasma Applications and Diagnostics (3 papers), COVID-19 and Mental Health (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Kruppel-like factors research (2 papers), Long-Term Effects of COVID-19 (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Finance (463 citations), General Health Professions (249 citations), Emergency Medical Services (56 citations), Pediatrics, Perinatology and Child Health (154 citations) and Health (57 citations). Ning Ning has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qunhong Wu, Yanhua Hao, Ye Li, Dengfeng Gao, Lijun Gao, Chaojie Liu, Gang Wan, Ling Xu, David Legge and Libo Liang. Their work appears in journals such as PLoS ONE, BMJ Open, Frontiers in Public Health, BMC Health Services Research and Journal of Ethnopharmacology.

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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