Jingsi Dong

39 total papers · 1.3k total citations
29 papers, 483 citations indexed

About

Jingsi Dong is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jingsi Dong has authored 29 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Jingsi Dong's work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jingsi Dong is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jingsi Dong collaborates with scholars based in China, United States and Australia. Jingsi Dong's co-authors include Bingjie Li, Dan Lin, Depei Huang, Qinghua Zhou, Jiagen Li, Zhaoli Chen, Jie He, Chengcheng Zhou, Edouard C. Nice and Zhongyan Du and has published in prestigious journals such as PLoS ONE, Annals of Oncology and Gene.

In The Last Decade

Jingsi Dong

28 papers receiving 478 citations

Hit Papers

Redox regulation: mechani... 2025 2026 2025 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Jingsi Dong 209 184 153 144 41 29 483
Daping Yu 155 0.7× 92 0.5× 189 1.2× 214 1.5× 25 0.6× 34 473
Haitao Hu 145 0.7× 151 0.8× 111 0.7× 163 1.1× 55 1.3× 37 447
Wen Wei 111 0.5× 260 1.4× 201 1.3× 165 1.1× 84 2.0× 21 547
Hiju Hong 120 0.6× 127 0.7× 160 1.0× 254 1.8× 27 0.7× 22 417
Tessa G. Steenbruggen 170 0.8× 279 1.5× 254 1.7× 125 0.9× 51 1.2× 24 518
Cleo Robinson 215 1.0× 167 0.9× 182 1.2× 129 0.9× 41 1.0× 30 491
Patrick Lebok 176 0.8× 191 1.0× 131 0.9× 266 1.8× 39 1.0× 32 542
Kejin Wu 90 0.4× 196 1.1× 225 1.5× 201 1.4× 30 0.7× 27 493
Tomohiro Nogami 96 0.5× 232 1.3× 148 1.0× 134 0.9× 22 0.5× 32 439
Shuiping Gao 99 0.5× 225 1.2× 194 1.3× 262 1.8× 74 1.8× 28 534

Countries citing papers authored by Jingsi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jingsi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingsi Dong

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