Guodan Yuan

438 total citations
7 papers, 114 citations indexed

About

Guodan Yuan is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Guodan Yuan has authored 7 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 2 papers in Neurology and 2 papers in Epidemiology. Recurrent topics in Guodan Yuan's work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Fungal Infections and Studies (2 papers). Guodan Yuan is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Fungal Infections and Studies (2 papers). Guodan Yuan collaborates with scholars based in China. Guodan Yuan's co-authors include Xinyu Deng, Ying Mei, Daoxin Wang, Di Qi, Longhua Feng, An Zhang, Yong Cui, Ping Yang, Pengfei Wang and Li Chen and has published in prestigious journals such as Journal of Medical Virology, Frontiers in Medicine and Journal of Clinical Laboratory Analysis.

In The Last Decade

Guodan Yuan

6 papers receiving 113 citations

Peers

Guodan Yuan
Reyna Klesh United States
Guodan Yuan
Citations per year, relative to Guodan Yuan Guodan Yuan (= 1×) peers Reyna Klesh

Countries citing papers authored by Guodan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Guodan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guodan Yuan

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

All Works

7 of 7 papers shown
1.
Li, Qiaoli, et al.. (2022). Case Report: The Experience of Managing a Moderate ARDS Caused by SARS-CoV-2 Omicron BA.2 Variant in Chongqing, China: Can We Do Better?. Frontiers in Medicine. 9. 921135–921135. 1 indexed citations
4.
Yang, Ping, et al.. (2020). A retrospective study on the epidemiological characteristics and establishment of an early warning system of severe COVID‐19 patients. Journal of Medical Virology. 92(10). 2173–2180. 19 indexed citations
5.
Yang, Tao, Panke Cheng, Peng Wan, et al.. (2020). High Incidence of Asymptomatic SARS-CoV-2 Infection, Chongqing, China. SSRN Electronic Journal. 3 indexed citations
6.
Qi, Di, Guodan Yuan, Xinyu Deng, et al.. (2020). Diagnostic value of peripheral hematologic markers for coronavirus disease 2019 (COVID‐19): A multicenter, cross‐sectional study. Journal of Clinical Laboratory Analysis. 34(10). 81 indexed citations
7.
Li, Qi, Guodan Yuan, Siyuan Chen, et al.. (2019). [Clinical and imaging features of acute histoplasmosis].. PubMed. 99(46). 3603–3607. 3 indexed citations

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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