Hui Dong

32 total papers · 1.1k total citations
25 papers, 816 citations indexed

About

Hui Dong is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Hui Dong has authored 25 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 6 papers in Epidemiology. Recurrent topics in Hui Dong's work include Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and CRISPR and Genetic Engineering (3 papers). Hui Dong is often cited by papers focused on Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and CRISPR and Genetic Engineering (3 papers). Hui Dong collaborates with scholars based in China, United States and Macao. Hui Dong's co-authors include Dongdong Chai, Hong Jiang, Jiali Peng, Yangyang Xia, Rong Hu, Qianzi Yang, Lize Xiong, Hailong Dong, Yanhong Fan and Qiang Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Hui Dong

23 papers receiving 810 citations

Hit Papers

Nrf2 inhibits ferroptosis... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Hui Dong 379 268 228 117 84 25 816
Fei Ren 398 1.1× 122 0.5× 172 0.8× 109 0.9× 65 0.8× 39 991
Jie Sun 460 1.2× 136 0.5× 141 0.6× 40 0.3× 62 0.7× 42 918
Priya Jhelum 291 0.8× 177 0.7× 144 0.6× 97 0.8× 207 2.5× 19 700
Yuan Yuan 291 0.8× 235 0.9× 202 0.9× 58 0.5× 126 1.5× 40 925
Yujian Zhang 403 1.1× 124 0.5× 124 0.5× 82 0.7× 112 1.3× 26 895
Malin Gustavsson 245 0.6× 168 0.6× 69 0.3× 48 0.4× 112 1.3× 15 878
Austin C. Boese 337 0.9× 99 0.4× 132 0.6× 30 0.3× 112 1.3× 19 790
Shanquan Sun 389 1.0× 143 0.5× 180 0.8× 58 0.5× 184 2.2× 55 1.0k
Lin Zhang 438 1.2× 92 0.3× 84 0.4× 65 0.6× 115 1.4× 25 911
Guoqing Zhao 296 0.8× 92 0.3× 152 0.7× 51 0.4× 80 1.0× 26 749

Countries citing papers authored by Hui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Dong

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