Yunwei Gai

48 total papers · 582 total citations
30 papers, 402 citations indexed

About

Yunwei Gai is a scholar working on General Health Professions, Economics and Econometrics and Health. According to data from OpenAlex, Yunwei Gai has authored 30 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 13 papers in Economics and Econometrics and 4 papers in Health. Recurrent topics in Yunwei Gai's work include Healthcare Policy and Management (7 papers), Global Health Care Issues (4 papers) and Influenza Virus Research Studies (3 papers). Yunwei Gai is often cited by papers focused on Healthcare Policy and Management (7 papers), Global Health Care Issues (4 papers) and Influenza Virus Research Studies (3 papers). Yunwei Gai collaborates with scholars based in United States, China and Uganda. Yunwei Gai's co-authors include Pablo Gottret, Farasat A. S. Bokhari, Li Feng, Dessislava A. Pachamanova, Ning Yan Gu, Maria Minniti, Joel W. Hay, Minghui Shen, Gary M. Fournier and Xiaoning Chen and has published in prestigious journals such as American Journal of Public Health, BMC Public Health and BMC Health Services Research.

In The Last Decade

Yunwei Gai

28 papers receiving 358 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yunwei Gai 234 151 81 76 63 30 402
Seiritsu Ogura 177 0.8× 147 1.0× 108 1.3× 62 0.8× 49 0.8× 19 402
Sara Emamgholipour 173 0.7× 148 1.0× 94 1.2× 48 0.6× 40 0.6× 68 435
Yuriy Timofeyev 191 0.8× 131 0.9× 129 1.6× 51 0.7× 42 0.7× 22 433
Mihajlo Jakovljević 182 0.8× 151 1.0× 96 1.2× 52 0.7× 39 0.6× 41 419
Moslem Soofi 132 0.6× 85 0.6× 90 1.1× 81 1.1× 51 0.8× 47 407
Gonçalo Figueiredo Augusto 216 0.9× 118 0.8× 45 0.6× 37 0.5× 77 1.2× 26 444
Ralf Radermacher 125 0.5× 117 0.8× 146 1.8× 139 1.8× 45 0.7× 20 434
Don Matheson 232 1.0× 66 0.4× 47 0.6× 56 0.7× 104 1.7× 25 438
Jacqueline Elizabeth Alcalde‐Rabanal 220 0.9× 70 0.5× 41 0.5× 91 1.2× 39 0.6× 40 418
Triin Habicht 208 0.9× 133 0.9× 77 1.0× 35 0.5× 37 0.6× 20 344

Countries citing papers authored by Yunwei Gai

Since Specialization
Citations

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

Fields of papers citing papers by Yunwei Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunwei Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Yunwei Gai. A scholar is included among the top collaborators of Yunwei Gai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunwei Gai. Yunwei Gai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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