Hai Gu

17 papers receiving 240 citations

Peers

Hai Gu
Comparison fields: 5 of 60
  • Health 112
  • Finance 82
  • General Health Professions 104
  • Neuropsychology and Physiological Psychology 5
  • Pediatrics, Perinatology and Child Health 63
Replace Arunika Agarwal with:
Arunika Agarwal United States
Suryakant Yadav India
Zhiying Zhou China
Weizhen Dong Canada
Guixia Fang China
Md Zabir Hasan United States
Lígia Malagón de Salazar Colombia
Stella T. Lartey United States
Martha Oliveira Brazil
Diego González-Medina United States
Hai Gu relative to Arunika Agarwal United States Arunika Agarwal's profile →
Citations per field
00.5×1.5×2.4×
Arunika Agarwal · 1×
Citations per year

Countries citing papers authored by Hai Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

19 of 19 papers shown
#Work
1 201950
2 202136
3 201830
4 201721
5 202020
6 202115
7 201913
8 201711
9 201811
10 20237
11 20186
12 20235
13 20225
14 20234
15 20233
16 20243
17 20202
18
Analysis on the Overall Planning of Urban-rural Medical Care Security System from the Angle of Welfare Effect
20120
19 20250

About Hai Gu

Hai Gu is a scholar working on General Health Professions, Health, Finance, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 19 papers that have together received 242 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (7 papers), Global Health Care Issues (7 papers), Health disparities and outcomes (6 papers), Global Maternal and Child Health (4 papers), Energy and Environment Impacts (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Health (112 citations), Finance (82 citations), General Health Professions (104 citations), Neuropsychology and Physiological Psychology (5 citations) and Pediatrics, Perinatology and Child Health (63 citations). Hai Gu has collaborated with scholars based in China and United States. Frequent co-authors include Hua You, Xinpeng Xu, Nan Cui, Lan Bai, Xueqing Peng, Jing Liu, Ting Zhang, Xiaolu Li, Hongye Luo and Hongmei Cao. Their work appears in journals such as INQUIRY The Journal of Health Care Organization Provision and Financing, BMC Public Health, International Journal for Equity in Health, Health Promotion International and Research in International Business and Finance.

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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