Yiyuan Wu

57 total papers · 753 total citations
32 papers, 365 citations indexed

About

Yiyuan Wu is a scholar working on Epidemiology, General Health Professions and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yiyuan Wu has authored 32 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in General Health Professions and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yiyuan Wu's work include Health disparities and outcomes (3 papers), Healthcare cost, quality, practices (3 papers) and Treatment of Major Depression (3 papers). Yiyuan Wu is often cited by papers focused on Health disparities and outcomes (3 papers), Healthcare cost, quality, practices (3 papers) and Treatment of Major Depression (3 papers). Yiyuan Wu collaborates with scholars based in United States, China and Canada. Yiyuan Wu's co-authors include Yongkang Zhang, Rainu Kaushal, Dhruv Khullar, Jessica S. Ancker, Samprit Banerjee, Jaclyn Hall, Jeff A. Sloan, Mikhail Dziadzko, Theresa Hahn and Paul K. Wallace and has published in prestigious journals such as JAMA, PLoS ONE and Scientific Reports.

In The Last Decade

Yiyuan Wu

26 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Yiyuan Wu 97 77 64 52 38 32 365
Ki Dong Ko 73 0.8× 59 0.8× 31 0.5× 61 1.2× 36 0.9× 26 380
Yasir Tarabichi 58 0.6× 41 0.5× 67 1.0× 43 0.8× 26 0.7× 28 350
Gilwon Kang 54 0.6× 65 0.8× 32 0.5× 48 0.9× 18 0.5× 36 328
Eleanor Kotas 35 0.4× 52 0.7× 76 1.2× 41 0.8× 15 0.4× 28 334
Marie Duncan 81 0.8× 110 1.4× 25 0.4× 32 0.6× 26 0.7× 16 350
Robin Ducharme 88 0.9× 71 0.9× 24 0.4× 29 0.6× 60 1.6× 34 370
Claire Barker 72 0.7× 31 0.4× 56 0.9× 49 0.9× 29 0.8× 28 360
Andrew Dalton 30 0.3× 74 1.0× 51 0.8× 37 0.7× 11 0.3× 20 336
Christophe Bonaldi 71 0.7× 38 0.5× 28 0.4× 36 0.7× 16 0.4× 33 369
L. Lévy-Bachelot 80 0.8× 62 0.8× 91 1.4× 18 0.3× 13 0.3× 49 385

Countries citing papers authored by Yiyuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yiyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyuan Wu

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