Shaolong Wu

541 total citations
14 papers, 233 citations indexed

About

Shaolong Wu is a scholar working on General Health Professions, Finance and Economics and Econometrics. According to data from OpenAlex, Shaolong Wu has authored 14 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 8 papers in Finance and 5 papers in Economics and Econometrics. Recurrent topics in Shaolong Wu's work include Healthcare Systems and Reforms (8 papers), Healthcare Policy and Management (4 papers) and Global Maternal and Child Health (3 papers). Shaolong Wu is often cited by papers focused on Healthcare Systems and Reforms (8 papers), Healthcare Policy and Management (4 papers) and Global Maternal and Child Health (3 papers). Shaolong Wu collaborates with scholars based in China, Taiwan and United States. Shaolong Wu's co-authors include Alex Jingwei He, Guoying Zhang, Chunxiao Wang, Luwen Zhang, Jiong Tu, Hailun Liang, Liming Lü, De-Chih Lee, Leiyu Shi and Magnus Lindelöw and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and BMC Health Services Research.

In The Last Decade

Shaolong Wu

14 papers receiving 233 citations

Peers

Shaolong Wu
Comparison fields: 5 of 72
  • General Health Professions 110
  • Finance 103
  • Economics and Econometrics 84
  • Pediatrics, Perinatology and Child Health 47
  • Epidemiology 29
Replace Yuki Murakami with:
Yuki Murakami United States
Elena Potapchik Russia
Şenay Özgülcü Türkiye
Hufeng Wang China
Nour Hemadi Lebanon
Debasis Barik India
Toomas Palu United States
Luka Vončina Croatia
Casey M Graves United States
Ju Sun China
Yuki Murakami United States View profile →
Citations per field, relative to Shaolong Wu
Shaolong Wu · 1×
Citations per year, relative to Shaolong Wu
Shaolong Wu · 1×

Countries citing papers authored by Shaolong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaolong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolong Wu. A scholar is included among the top collaborators of Shaolong Wu 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 Shaolong Wu. Shaolong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 1
3 9
4 2
5 32
6 15
7 17
8 14
9 11
10 64
11 17
12 30
13 19
14
Three issues of migrants'health insurance in China
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026