Dingli Song

2.1k total citations · 1 hit paper
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 cancer and attributable risk fact... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global burden of breast cancer and attributable risk factors in 195 countries and territories, from 1990 to 2017: results from the Global Burden of Disease Study 2017
    2019 267 citations Na Li, Yujiao Deng et al. Journal of Hematology & Oncology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dingli Song China 14 429 371 283 248 171 33 1.2k
Si Yang China 15 412 1.0× 250 0.7× 173 0.6× 302 1.2× 89 0.5× 18 1.2k
Adalberto Miranda‐Filho France 15 434 1.0× 346 0.9× 154 0.5× 248 1.0× 307 1.8× 33 1.6k
Lingbin Du China 15 340 0.8× 252 0.7× 194 0.7× 367 1.5× 210 1.2× 64 1.1k
Håkan Malmström Sweden 18 247 0.6× 252 0.7× 248 0.9× 169 0.7× 153 0.9× 34 1.1k
Xiaolin Fan United States 16 252 0.6× 246 0.7× 159 0.6× 292 1.2× 122 0.7× 46 1.5k
Antonino Grassadonia Italy 23 570 1.3× 520 1.4× 275 1.0× 169 0.7× 110 0.6× 71 1.4k
Alice Koechlin France 15 626 1.5× 330 0.9× 231 0.8× 137 0.6× 148 0.9× 33 1.2k
Giedrė Smailytė Lithuania 19 547 1.3× 232 0.6× 151 0.5× 297 1.2× 125 0.7× 121 1.2k

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

20 of 20 papers shown
1.
Du, Ning, Dingli Song, Dapeng Liu, et al.. (2025). Serum TUBB is a potential biomarker for the diagnosis of non-small cell lung cancer. Journal of Cancer Metastasis and Treatment. 1 indexed citations
2.
Wu, Jie, Ting Wen, Antonio Marzio, et al.. (2024). FBXO32-mediated degradation of PTEN promotes lung adenocarcinoma progression. Cell Death and Disease. 15(4). 282–282. 9 indexed citations
3.
Zhao, Lili, Dingli Song, Ye Li, et al.. (2024). Identification of significant m6A regulators and immune microenvironment characterization in ischemic stroke. Scientific Reports. 14(1). 3456–3456. 2 indexed citations
4.
Hao, Qian, et al.. (2024). Evaluation of neoadjuvant chemotherapy for clinical T1 triple-negative breast cancer. Scientific Reports. 14(1). 18055–18055. 1 indexed citations
5.
Song, Dingli, et al.. (2023). Identification and validation of eight lysosomes-related genes signatures and correlation with immune cell infiltration in lung adenocarcinoma. Cancer Cell International. 23(1). 322–322. 3 indexed citations
6.
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8.
Yang, Chengcheng, Dingli Song, Jie Wu, et al.. (2022). Comprehensive analysis of the prognostic value and immune infiltration of FGFR family members in gastric cancer. Frontiers in Oncology. 12. 936952–936952. 10 indexed citations
9.
Song, Dingli, et al.. (2022). Identification of OTUD6B as a new biomarker for prognosis and immunotherapy by pan-cancer analysis. Frontiers in Immunology. 13. 955091–955091. 8 indexed citations
10.
Zhang, Yunfeng, Dingli Song, Zi-Yang Peng, et al.. (2022). LINC00891 regulated by miR-128-3p/GATA2 axis impedes lung cancer cell proliferation, invasion and EMT by inhibiting RhoA pathway. Acta Biochimica et Biophysica Sinica. 54(3). 378–387. 17 indexed citations
11.
12.
Song, Dingli, Dai Zhang, Sisi Chen, et al.. (2022). Identification and validation of prognosis-associated DNA repair gene signatures in colorectal cancer. Scientific Reports. 12(1). 6946–6946. 11 indexed citations
13.
Zhang, Yunfeng, Dingli Song, Rui Wang, et al.. (2022). Anisodamine Enhances Macrophage M2 Polarization through Suppressing G9a-Mediated Interferon Regulatory Factor 4 Silencing to Alleviate Lipopolysaccharide-Induced Acute Lung Injury. Journal of Pharmacology and Experimental Therapeutics. 381(3). 247–256. 11 indexed citations
14.
Deng, Yujiao, Meng Wang, Linghui Zhou, et al.. (2020). Global burden of larynx cancer, 1990-2017: estimates from the global burden of disease 2017 study. Aging. 12(3). 2545–2583. 59 indexed citations
15.
Deng, Yujiao, Hongtao Li, Meng Wang, et al.. (2020). Global Burden of Thyroid Cancer From 1990 to 2017. JAMA Network Open. 3(6). e208759–e208759. 215 indexed citations
16.
Zhou, Linghui, Yujiao Deng, Na Li, et al.. (2019). Global, regional, and national burden of Hodgkin lymphoma from 1990 to 2017: estimates from the 2017 Global Burden of Disease study. Journal of Hematology & Oncology. 12(1). 107–107. 83 indexed citations
17.
Li, Na, Yujiao Deng, Linghui Zhou, et al.. (2019). Global burden of breast cancer and attributable risk factors in 195 countries and territories, from 1990 to 2017: results from the Global Burden of Disease Study 2017. Journal of Hematology & Oncology. 12(1). 140–140. 267 indexed citations breakdown →
18.
Hao, Qian, Cong Dai, Yujiao Deng, et al.. (2018). Pooling analysis on prognostic value of PHH3 expression in cancer patients. Cancer Management and Research. Volume 10. 2279–2288. 11 indexed citations
19.
Tian, Tian, Meng Wang, Yuyao Zhu, et al.. (2018). Expression, Clinical Significance, and Functional Prediction of MNX1 in Breast Cancer. Molecular Therapy — Nucleic Acids. 13. 399–406. 18 indexed citations
20.
Song, Dingli, S. Song, YoonJu Song, & Jung Eun Lee. (2012). Alcohol intake and renal cell cancer risk: a meta-analysis. British Journal of Cancer. 106(11). 1881–1890. 67 indexed citations

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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