Dingli Song

42 total papers · 2.1k total citations
33 papers, 1.2k citations indexed

About

Dingli Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Dingli Song has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Dingli Song's work include RNA modifications and cancer (8 papers), Ferroptosis and cancer prognosis (6 papers) and Global Cancer Incidence and Screening (5 papers). Dingli Song is often cited by papers focused on RNA modifications and cancer (8 papers), Ferroptosis and cancer prognosis (6 papers) and Global Cancer Incidence and Screening (5 papers). Dingli Song collaborates with scholars based in China, United States and South Korea. Dingli Song's co-authors include Zhijun Dai, Yujiao Deng, Zhen Zhai, Na Li, Linghui Zhou, Yi Zheng, Si Yang, Qian Hao, Ying Wu and Huafeng Kang and has published in prestigious journals such as Cancer, Scientific Reports and British Journal of Cancer.

In The Last Decade

Dingli Song

33 papers receiving 1.2k citations

Hit Papers

Global burden of breast c... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Dingli Song 427 366 282 245 169 33 1.2k
Wahyu Wulaningsih 386 0.9× 276 0.8× 244 0.9× 163 0.7× 86 0.5× 52 1.4k
Disorn Sookthai 277 0.6× 419 1.1× 265 0.9× 300 1.2× 128 0.8× 42 1.4k
Barry Hoffman 544 1.3× 517 1.4× 243 0.9× 127 0.5× 251 1.5× 30 1.5k
Ying Wu 298 0.7× 261 0.7× 169 0.6× 197 0.8× 107 0.6× 38 1.1k
Håkan Malmström 246 0.6× 249 0.7× 247 0.9× 169 0.7× 151 0.9× 35 1.1k
Si Yang 410 1.0× 245 0.7× 172 0.6× 297 1.2× 84 0.5× 18 1.2k
Alice Koechlin 622 1.5× 327 0.9× 231 0.8× 136 0.6× 148 0.9× 33 1.2k
Yuko Yamamura 345 0.8× 221 0.6× 218 0.8× 203 0.8× 209 1.2× 30 1.1k
Lingbin Du 329 0.8× 248 0.7× 193 0.7× 353 1.4× 209 1.2× 63 1.1k
Rhonda Arthur 372 0.9× 206 0.6× 222 0.8× 129 0.5× 125 0.7× 45 1.1k

Countries citing papers authored by Dingli Song

Since Specialization
Citations

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

Fields of papers citing papers by Dingli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingli Song

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