Hai Gu
Impact in
Papers in
- Finance 5
- Healthcare Systems and Reforms 5
-
- Global Health Care Issues 3
- Co-authors
- Hua You (8 shared papers)Yun Kou (7 shared papers)Xinpeng Xu (6 shared papers)Nan Cui (5 shared papers)Lan Bai (4 shared papers)Xueqing Peng (1 shared paper)Jing Liu (1 shared paper)Ting Zhang (1 shared paper)
- Journals
- BMC Public Health (3 papers)INQUIRY The Journal of Health Care Organization Provision and Financing (3 papers)International Journal for Equity in Health (2 papers)Health Promotion International (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hai Gu
19 papers receiving 257 citations
Peers
Comparison fields: 5 of 56
- Health 65
- Finance 55
- General Health Professions 42
- Modeling and Simulation 8
- Pediatrics, Perinatology and Child Health 30
Countries citing papers authored by Hai Gu
This map shows the geographic impact of Hai Gu'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 Hai Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Gu more than expected).
Fields of papers citing papers by Hai Gu
This network shows the impact of papers produced by Hai Gu. 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 Hai Gu. The network helps show where Hai Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2021 | 37 | |
| 3 | 2018 | 31 | |
| 4 | 2020 | 22 | |
| 5 | 2017 | 22 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2017 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | Analysis on the Overall Planning of Urban-rural Medical Care Security System from the Angle of Welfare Effect | 2012 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Hai Gu
Hai Gu is a scholar working on Finance, General Health Professions, Pediatrics, Perinatology and Child Health, Sociology and Political Science and Health, having authored 20 papers that have together received 259 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (5 papers), Global Health Care Issues (3 papers), Global Maternal and Child Health (3 papers), Energy and Environment Impacts (2 papers), Air Quality and Health Impacts (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Demographic Trends and Gender Preferences (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Health (65 citations), Finance (55 citations), General Health Professions (42 citations), Modeling and Simulation (8 citations) and Pediatrics, Perinatology and Child Health (30 citations). Hai Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hua You, Yun Kou, Xinpeng Xu, Nan Cui, Lan Bai, Xueqing Peng, Jing Liu, Ting Zhang, Xiaolu Li and Hongye Luo. Their work appears in journals such as BMC Public Health, INQUIRY The Journal of Health Care Organization Provision and Financing, International Journal for Equity in Health, Health Promotion International and PLoS ONE.
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.