Jing Dong

48 total papers · 577 total citations
37 papers, 452 citations indexed

About

Jing Dong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Anesthesiology and Pain Medicine. According to data from OpenAlex, Jing Dong has authored 37 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Anesthesiology and Pain Medicine. Recurrent topics in Jing Dong's work include Anesthesia and Neurotoxicity Research (4 papers), Pain Mechanisms and Treatments (4 papers) and Hepatitis C virus research (3 papers). Jing Dong is often cited by papers focused on Anesthesia and Neurotoxicity Research (4 papers), Pain Mechanisms and Treatments (4 papers) and Hepatitis C virus research (3 papers). Jing Dong collaborates with scholars based in China, United States and France. Jing Dong's co-authors include Jijian Zheng, Kangsheng Li, Mazhong Zhang, Zifeng Xu, Yan‐Qin Shen, Zhanquan Li, Yinan Yu, Jun Cheng, P.J. Neveu and Weiwei Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jing Dong

35 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Dong 170 79 58 48 48 37 452
Eun‐Young Kim 235 1.4× 82 1.0× 61 1.1× 51 1.1× 31 0.6× 28 513
Zhenzhen Ma 176 1.0× 68 0.9× 48 0.8× 44 0.9× 63 1.3× 46 518
Andrei Adrian Tica 125 0.7× 49 0.6× 86 1.5× 62 1.3× 55 1.1× 41 515
Hanwei Zhang 129 0.8× 91 1.2× 56 1.0× 95 2.0× 59 1.2× 35 538
Ping Fan 144 0.8× 54 0.7× 61 1.1× 38 0.8× 49 1.0× 30 450
Juraj Sepčić 140 0.8× 126 1.6× 71 1.2× 32 0.7× 61 1.3× 55 536
Yanwu You 160 0.9× 104 1.3× 75 1.3× 57 1.2× 54 1.1× 34 424
Jack Ham 190 1.1× 64 0.8× 72 1.2× 53 1.1× 20 0.4× 22 519
Sanja Novak 171 1.0× 38 0.5× 52 0.9× 69 1.4× 40 0.8× 28 478
Annalidia Donato 154 0.9× 111 1.4× 76 1.3× 36 0.8× 19 0.4× 24 477

Countries citing papers authored by Jing Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dong

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