Guiying Dong

29 total papers · 553 total citations
12 papers, 318 citations indexed

About

Guiying Dong is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Guiying Dong has authored 12 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Neurology and 3 papers in Epidemiology. Recurrent topics in Guiying Dong's work include COVID-19 Clinical Research Studies (5 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Long-Term Effects of COVID-19 (2 papers). Guiying Dong is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Long-Term Effects of COVID-19 (2 papers). Guiying Dong collaborates with scholars based in China, United Kingdom and United States. Guiying Dong's co-authors include Jianfeng Feng, Xing‐Ming Zhao, Wei Guo, Weibo Gao, Wei Cheng, Chao Xie, Jujiao Kang, Chun Shen, Edmund T. Rolls and Barbara J. Sahakian and has published in prestigious journals such as Neurology, Medicine and QJM.

In The Last Decade

Guiying Dong

11 papers receiving 316 citations

Hit Papers

Associations of Social Is... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Guiying Dong 109 72 61 56 43 12 318
Cynthia Putri 140 1.3× 14 0.2× 42 0.7× 165 2.9× 21 0.5× 14 314
Shinhye Kim 50 0.5× 18 0.3× 28 0.5× 97 1.7× 28 0.7× 18 353
Felix Wicke 48 0.4× 58 0.8× 20 0.3× 13 0.2× 28 0.7× 22 359
David E. Kloecker 46 0.4× 14 0.2× 86 1.4× 33 0.6× 7 0.2× 15 304
Nadia Reynolds 71 0.7× 32 0.4× 13 0.2× 25 0.4× 158 3.7× 9 339
Immacolata Ambrosino 62 0.6× 21 0.3× 47 0.8× 50 0.9× 5 0.1× 15 303
Sara H. Duffus 126 1.2× 16 0.2× 134 2.2× 34 0.6× 7 0.2× 13 289
Azrah Y. Ahmed 28 0.3× 13 0.2× 27 0.4× 29 0.5× 10 0.2× 12 332
Amy Wisniewski 10 0.1× 45 0.6× 34 0.6× 27 0.5× 32 0.7× 11 311
Piu Chan 20 0.2× 25 0.3× 11 0.2× 22 0.4× 38 0.9× 17 303

Countries citing papers authored by Guiying Dong

Since Specialization
Citations

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

Fields of papers citing papers by Guiying Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiying Dong

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