Qian Gu

632 total citations · 1 hit paper
11 papers, 468 citations indexed

About

Qian Gu is a scholar working on General Health Professions, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Qian Gu has authored 11 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 4 papers in Economics and Econometrics and 3 papers in Epidemiology. Recurrent topics in Qian Gu's work include Healthcare Policy and Management (4 papers), Primary Care and Health Outcomes (3 papers) and Retinal Imaging and Analysis (2 papers). Qian Gu is often cited by papers focused on Healthcare Policy and Management (4 papers), Primary Care and Health Outcomes (3 papers) and Retinal Imaging and Analysis (2 papers). Qian Gu collaborates with scholars based in United States, United Kingdom and China. Qian Gu's co-authors include Lane Koenig, Andrea Hassol, Daver C. Kahvecioglu, Lawrence Muldoon, Laura A. Dummit, Shannon Flood, Matthew J. Press, Patrick H. Conway, Grecia Marrufo and Rahul Rajkumar and has published in prestigious journals such as JAMA, PLoS ONE and Journal of the American Geriatrics Society.

In The Last Decade

Qian Gu

10 papers receiving 451 citations

Hit Papers

Association Between Hospital Participation in a Medicare ... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Qian Gu
Comparison fields: 5 of 75
  • Economics and Econometrics 217
  • General Health Professions 210
  • Surgery 147
  • Cardiology and Cardiovascular Medicine 70
  • Emergency Medicine 57
Replace Catherine L. Chen with:
Catherine L. Chen United States
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Raija Sipilä Finland
Catherine L. Chen United States View profile →
Citations per field, relative to Qian Gu
Qian Gu · 1×
Citations per year, relative to Qian Gu
Qian Gu · 1×

Countries citing papers authored by Qian Gu

Since Specialization
Citations

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

Fields of papers citing papers by Qian Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qian Gu

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 2
2 28
3 0
4 10
5 4
6 9
7 3
8
Association Between Hospital Participation in a Medicare Bundled Payment Initiative and Payments and Quality Outcomes for Lower Extremity Joint Replacement Episodes breakdown →
257
9 104
10 44
11 7

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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