Hao Yu

2.1k citations
99 papers · 1.5k · 1 hit paper · h-index 21

Impact in

Papers in

Hao Yu

89 papers receiving 1.4k citations

Hao Yu's Hit Papers

Universal health insurance coverage for 1.3 billion people: What accounts for China's success? 2015 · 259 citations
2590+3+7Years since publication50100150200250

Peers

Hao Yu
Comparison fields: 5 of 115
  • Finance 197
  • General Health Professions 374
  • Speech and Hearing 87
  • Clinical Psychology 227
  • Emergency Medical Services 67
Replace Susmita Pati with:
Susmita Pati United States
Gina Rae Kruse United States
Xing Lin Feng China
Deborah Klein Walker United States
Bernadette Ward Australia
Carole Roan Gresenz United States
Megan S. Schuler United States
Ramona K. C. Finnie United States
Teri A. Browne United States
Josephine Enyonam Ocloo United Kingdom
Hao Yu relative to Susmita Pati United States Susmita Pati's profile →
Citations per field
00.5×5×10×15.2×
Susmita Pati · 1×
Citations per year

Countries citing papers authored by Hao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hao Yu, 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 Hao Yu Line = papers co-authored together Hao Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Universal health insurance coverage for 1.3 billion people: What accounts for China's success?
Hit paper breakdown →
2015259
2 2019122
3 201354
4 201954
5 202154
6 201545
7 202041
8 201539
9 201837
10 201837
11 201636
12 202035
13 200834
14 202031
15 201926
16 201725
17 202124
18 201723
19 201722
20 201722

About Hao Yu

Hao Yu is a scholar working on Emergency Medical Services, Economics and Econometrics, General Health Professions, Pharmacy and Speech and Hearing, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Healthcare Policy and Management (32 papers), Primary Care and Health Outcomes (12 papers), Global Health Workforce Issues (12 papers), Global Health Care Issues (7 papers), Adolescent and Pediatric Healthcare (5 papers), Medical Malpractice and Liability Issues (5 papers), Healthcare Systems and Reforms (5 papers) and Patient Safety and Medication Errors (4 papers). The work is most often cited by research in Finance (197 citations), General Health Professions (374 citations), Speech and Hearing (87 citations), Clinical Psychology (227 citations) and Emergency Medical Services (67 citations). Hao Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bradley D. Stein, Ryan K. McBain, Jonathan Cantor, Aaron Kofner, YingYao Chen, Andrew W. Dick, Bing Han, Joshua A. Breslau, William B. Vogt and Jinsong Geng. Their work appears in journals such as Medical Care, JAMA Network Open, Health Services Research, PEDIATRICS and Autism.

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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