Dongkui Song

39 total papers · 691 total citations
23 papers, 458 citations indexed

About

Dongkui Song is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dongkui Song has authored 23 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Dongkui Song's work include Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Bladder and Urothelial Cancer Treatments (5 papers). Dongkui Song is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Bladder and Urothelial Cancer Treatments (5 papers). Dongkui Song collaborates with scholars based in China, United Kingdom and France. Dongkui Song's co-authors include Lirong Zhang, Jinxing Wei, Yong‐Jie Lu, Molly A. Ingersoll, Thomas Powles, Xiaoming Yang, Xuepei Zhang, Jian Liu, Bingqian Liu and Zhongxue Li and has published in prestigious journals such as The Journal of Pathology, Medicine and Oncotarget.

In The Last Decade

Dongkui Song

23 papers receiving 453 citations

Author Peers

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

Author Last Decade Papers Cites
Dongkui Song 304 186 144 77 76 23 458
Yufan Zheng 306 1.0× 133 0.7× 54 0.4× 76 1.0× 98 1.3× 24 509
Haifeng Wei 287 0.9× 212 1.1× 112 0.8× 84 1.1× 50 0.7× 24 540
Shangha Pan 269 0.9× 220 1.2× 138 1.0× 74 1.0× 44 0.6× 15 475
Emilia Rippa 215 0.7× 88 0.5× 154 1.1× 47 0.6× 74 1.0× 27 436
Zhaoliang Lu 313 1.0× 206 1.1× 62 0.4× 59 0.8× 146 1.9× 20 492
Yantao Duan 224 0.7× 133 0.7× 72 0.5× 89 1.2× 67 0.9× 16 413
Lingming Kong 287 0.9× 193 1.0× 80 0.6× 91 1.2× 141 1.9× 19 470
Jing Luo 287 0.9× 191 1.0× 61 0.4× 48 0.6× 81 1.1× 21 482
Meng Li 315 1.0× 158 0.8× 48 0.3× 98 1.3× 26 0.3× 20 519
Heng Gao 338 1.1× 292 1.6× 70 0.5× 50 0.6× 26 0.3× 24 529

Countries citing papers authored by Dongkui Song

Since Specialization
Citations

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

Fields of papers citing papers by Dongkui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkui Song

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