Tsung-Mei Cheng

5.0k citations
15 papers · 3.3k indexed · 2 hit papers · h-index 11

Tsung-Mei Cheng

15 papers receiving 3.0k citations

Hit Papers

Taiwan’s New National Health Insurance Program: Genesis A...573200020262008201750010001.5k2.0k

Peers

Tsung-Mei Cheng
Comparison fields: 5 of 177
  • Finance 834
  • General Health Professions 1.4k
  • Pediatrics, Perinatology and Child Health 703
  • Economics and Econometrics 956
  • Health Information Management 116
Replace Ajay Mahal with:
Ajay Mahal Australia
Abdul Ghaffar Switzerland
Qunhong Wu China
Mihajlo Jakovljević Serbia
Hugh Waters United States
Ṣẹ̀yẹ Abímbọ́lá Australia
Milena Pavlova Netherlands
Alan Maynard United Kingdom
Yuanli Liu China
Ole Frithjof Norheim Norway
Tsung-Mei Cheng relative to Ajay Mahal Australia Ajay Mahal's profile →
Citations per field
00.5×1.5×
Ajay Mahal · 1×
Citations per year

Countries citing papers authored by Tsung-Mei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Tsung-Mei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung-Mei Cheng. 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 Tsung-Mei Cheng. The network helps show where Tsung-Mei Cheng may publish in the future.

Co-authorship network

The 11 scholars most cited alongside Tsung-Mei Cheng, 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 Tsung-Mei Cheng Line = papers co-authored together Tsung-Mei Cheng links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20243
2 20192
3 2015168
4 20154
5 201428
6 201310
7 201313
8 201227
9 201015
10 201032
11 200920
12 20086
13 200820
14
Taiwan’s New National Health Insurance Program: Genesis And Experience So Farbreakdown →
2003573
15
The world health report 2000 - Health systems: improving performancebreakdown →
20002347

About Tsung-Mei Cheng

Tsung-Mei Cheng is a scholar working on Finance, General Health Professions and Economics and Econometrics, having authored 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (9 papers), Healthcare Policy and Management (5 papers), Health Services Management and Policy (3 papers), Global Health Care Issues (3 papers), Global Maternal and Child Health (2 papers), Social Policies and Family (1 paper), Innovative Teaching and Learning Methods (1 paper) and Primary Care and Health Outcomes (1 paper). The work is most often cited by research in Finance (834 citations), General Health Professions (1.4k citations) and Pediatrics, Perinatology and Child Health (703 citations). Tsung-Mei Cheng has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Uwe E. Reinhardt, Luca Crivelli, Kieke G. H. Okma, David Chinitz, Hans Maarse, María Eliana Labra, Meng-Kin Lim, Nadi Suprapto, Noly Shofiyah and Paúl Krugman.

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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