Hao Mo
Impact in
-
- Antibiotic Use and Resistance
- Finance top 5%
- Healthcare Systems and Reforms
Papers in
- Finance 8
- Healthcare Systems and Reforms 8
-
- Global Health Workforce Issues 3
- Co-authors
- Jay J. Shen (9 shared papers)Chengyue Li (8 shared papers)Jun Lü (11 shared papers)Ying Wang (5 shared papers)Fengshui Chang (8 shared papers)Xiaohong Li (5 shared papers)Oliver James Dyar (1 shared paper)Hai Lin (1 shared paper)
- Journals
- PLoS ONE (3 papers)BMC Health Services Research (3 papers)The International Journal of Health Planning and Management (2 papers)BMC Public Health (2 papers)Social Science & Medicine (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hao Mo
27 papers receiving 436 citations
Peers
Comparison fields: 5 of 69
- Applied Microbiology and Biotechnology 49
- Finance 100
- Research and Theory 30
- Emergency Medical Services 53
- Leadership and Management 12
Countries citing papers authored by Hao Mo
This map shows the geographic impact of Hao Mo'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 Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Mo more than expected).
Fields of papers citing papers by Hao Mo
This network shows the impact of papers produced by Hao Mo. 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 Mo. The network helps show where Hao Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 60 | |
| 2 | 2015 | 46 | |
| 3 | 2013 | 37 | |
| 4 | 2015 | 36 | |
| 5 | 2014 | 35 | |
| 6 | 2019 | 30 | |
| 7 | 2014 | 28 | |
| 8 | 2017 | 21 | |
| 9 | 2020 | 19 | |
| 10 | 2011 | 18 | |
| 11 | 2015 | 15 | |
| 12 | 2016 | 13 | |
| 13 | 2011 | 12 | |
| 14 | 2014 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2018 | 11 | |
| 17 | How to Make Diagnosis Related Groups Payment More Feasible in Developing Countries- A Case Study in Shanghai, China. | 2014 | 9 |
| 18 | 2015 | 8 | |
| 19 | 2014 | 6 | |
| 20 | 2012 | 5 |
About Hao Mo
Hao Mo is a scholar working on Finance, Emergency Medical Services, Complementary and alternative medicine, Economics and Econometrics and General Health Professions, having authored 27 papers that have together received 448 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (8 papers), Global Health Workforce Issues (3 papers), Pharmaceutical Economics and Policy (2 papers), Public Health Policies and Education (2 papers), Global Maternal and Child Health (2 papers), Traditional Chinese Medicine Studies (2 papers), Occupational Health and Safety Research (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (49 citations), Finance (100 citations), Research and Theory (30 citations), Emergency Medical Services (53 citations) and Leadership and Management (12 citations). Hao Mo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jay J. Shen, Chengyue Li, Jun Lü, Ying Wang, Fengshui Chang, Xiaohong Li, Oliver James Dyar, Hai Lin, Senia Rosales-Klintz and Cecilia Stålsby Lundborg. Their work appears in journals such as PLoS ONE, BMC Health Services Research, The International Journal of Health Planning and Management, BMC Public Health and Social Science & Medicine.
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.