Kun Dong

33 total papers · 1.5k total citations
26 papers, 1.0k citations indexed

About

Kun Dong is a scholar working on Physiology, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Kun Dong has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Endocrine and Autonomic Systems and 8 papers in Epidemiology. Recurrent topics in Kun Dong's work include Adipose Tissue and Metabolism (5 papers), Circadian rhythm and melatonin (5 papers) and COVID-19 Clinical Research Studies (4 papers). Kun Dong is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Circadian rhythm and melatonin (5 papers) and COVID-19 Clinical Research Studies (4 papers). Kun Dong collaborates with scholars based in China and United States. Kun Dong's co-authors include Yan Yang, Xiaoli Shi, Xuefeng Yu, Shujun Zhang, Yongli Yan, Fen Wang, Huihui Ren, Xiaotong Xu, Beibei Du and Weijian Jiang and has published in prestigious journals such as Neurology, International Journal of Molecular Sciences and Gene.

In The Last Decade

Kun Dong

25 papers receiving 986 citations

Hit Papers

Clinical characteristics ... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Kun Dong 517 377 270 186 156 26 1.0k
Jiazhong Sun 272 0.5× 164 0.4× 247 0.9× 69 0.4× 136 0.9× 31 1.0k
Maha T Barakat 269 0.5× 176 0.5× 309 1.1× 41 0.2× 208 1.3× 43 1.1k
Yanmei Huang 210 0.4× 130 0.3× 113 0.4× 85 0.5× 165 1.1× 44 981
Juyi Li 684 1.3× 367 1.0× 117 0.4× 37 0.2× 178 1.1× 47 1.1k
Stine Johnsen 213 0.4× 374 1.0× 209 0.8× 39 0.2× 99 0.6× 18 1.0k
Enrico Longato 338 0.7× 144 0.4× 109 0.4× 68 0.4× 383 2.5× 30 867
Renata Risi 351 0.7× 124 0.3× 250 0.9× 24 0.1× 235 1.5× 29 1.0k
Lian‐Sheng Wang 169 0.3× 120 0.3× 134 0.5× 49 0.3× 53 0.3× 32 874
Giulio Di Mizio 212 0.4× 111 0.3× 92 0.3× 66 0.4× 60 0.4× 45 927
Dinesh Jagasia 207 0.4× 133 0.4× 185 0.7× 118 0.6× 146 0.9× 40 1.2k

Countries citing papers authored by Kun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Kun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Dong

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