Ying Mao

132 total papers · 1.9k total citations
76 papers, 1.2k citations indexed

About

Ying Mao is a scholar working on General Health Professions, Finance and Epidemiology. According to data from OpenAlex, Ying Mao has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in General Health Professions, 12 papers in Finance and 11 papers in Epidemiology. Recurrent topics in Ying Mao's work include Global Health Care Issues (13 papers), Healthcare Systems and Reforms (12 papers) and Global Health Workforce Issues (10 papers). Ying Mao is often cited by papers focused on Global Health Care Issues (13 papers), Healthcare Systems and Reforms (12 papers) and Global Health Workforce Issues (10 papers). Ying Mao collaborates with scholars based in China, Hong Kong and United States. Ying Mao's co-authors include Jinlin Liu, Bin Zhu, Ning Zhang, Rongxin He, Jingxian Wu, Xue Wang, Yang Fu, Bowen Wei, Zhenmao Chen and Yong Li and has published in prestigious journals such as The Lancet, PLoS ONE and Social Science & Medicine.

In The Last Decade

Ying Mao

72 papers receiving 1.2k citations

Hit Papers

A systematic review of de... 2019 2026 2021 2023 2019 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Ying Mao 454 166 140 130 128 76 1.2k
Alok Mukhopadhyay 244 0.5× 43 0.3× 35 0.3× 107 0.8× 85 0.7× 38 1.0k
Sally Hall Dykgraaf 530 1.2× 156 0.9× 28 0.2× 266 2.0× 99 0.8× 67 987
Shivam Gupta 380 0.8× 126 0.8× 214 1.5× 264 2.0× 97 0.8× 66 1.4k
Shishi Wu 260 0.6× 129 0.8× 98 0.7× 96 0.7× 106 0.8× 34 1.1k
Libo Liang 422 0.9× 206 1.2× 163 1.2× 64 0.5× 153 1.2× 55 1.3k
Irwin Redlener 492 1.1× 294 1.8× 44 0.3× 95 0.7× 47 0.4× 80 1.4k
Angela Durey 528 1.2× 138 0.8× 24 0.2× 282 2.2× 86 0.7× 72 1.4k
Nicole A. Errett 255 0.6× 81 0.5× 12 0.1× 99 0.8× 40 0.3× 80 1.4k
Farzaneh Zolala 234 0.5× 116 0.7× 42 0.3× 153 1.2× 309 2.4× 95 1.1k
Blanca Estela Pelcastre‐Villafuerte 384 0.8× 110 0.7× 67 0.5× 171 1.3× 146 1.1× 95 1.1k

Countries citing papers authored by Ying Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ying Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Mao. A scholar is included among the top collaborators of Ying Mao 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 Ying Mao. Ying Mao 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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