Jing Dong

85 total papers · 1.7k total citations
65 papers, 1.2k citations indexed

About

Jing Dong is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Jing Dong has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Oncology and 8 papers in Pharmacology. Recurrent topics in Jing Dong's work include Drug Transport and Resistance Mechanisms (10 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and melanin and skin pigmentation (6 papers). Jing Dong is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and melanin and skin pigmentation (6 papers). Jing Dong collaborates with scholars based in China, United States and United Kingdom. Jing Dong's co-authors include Xu-Lin Sun, Haiyang Liu, Libing Chu, Jianlong Wang, Wenyi Kang, Jinmei Wang, Changyang Ma, Qiongxin Liang, Shengjun Jiang and Zhenhua Liu and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Chemosphere.

In The Last Decade

Jing Dong

61 papers receiving 1.2k 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 381 132 127 102 100 65 1.2k
Hongbo Liu 511 1.3× 90 0.7× 92 0.7× 125 1.2× 92 0.9× 111 1.4k
Lichao Zhang 426 1.1× 93 0.7× 156 1.2× 64 0.6× 79 0.8× 34 1.1k
Junxi Liu 542 1.4× 63 0.5× 112 0.9× 175 1.7× 80 0.8× 95 1.4k
Shiuan‐Shinn Lee 469 1.2× 145 1.1× 64 0.5× 117 1.1× 65 0.7× 68 1.4k
Byeongwoo Ahn 325 0.9× 119 0.9× 47 0.4× 134 1.3× 48 0.5× 64 1.2k
Kun Hu 245 0.6× 244 1.8× 70 0.6× 123 1.2× 50 0.5× 111 1.1k
Amal A. Al‐Hazzani 279 0.7× 52 0.4× 137 1.1× 77 0.8× 110 1.1× 34 1.0k
Xinyu Wang 453 1.2× 46 0.3× 128 1.0× 87 0.9× 51 0.5× 72 1.4k
Ying Li 471 1.2× 77 0.6× 143 1.1× 55 0.5× 216 2.2× 39 1.3k
Fahad M. Almutairi 509 1.3× 48 0.4× 65 0.5× 134 1.3× 69 0.7× 82 1.4k

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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