Song Dong

2.7k total citations
79 papers, 1.4k citations indexed

About

Song Dong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Song Dong has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 33 papers in Pulmonary and Respiratory Medicine and 17 papers in Cancer Research. Recurrent topics in Song Dong's work include Lung Cancer Treatments and Mutations (19 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Cancer Genomics and Diagnostics (10 papers). Song Dong is often cited by papers focused on Lung Cancer Treatments and Mutations (19 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Cancer Genomics and Diagnostics (10 papers). Song Dong collaborates with scholars based in China, United States and Hong Kong. Song Dong's co-authors include Haifeng Chen, Ray Luo, Yi‐Long Wu, Hao Liu, Xu‐Chao Zhang, Ye Du, Wen‐Zhao Zhong, Shu‐Heng Jiang, Na Wei and Qiang Nie and has published in prestigious journals such as Nucleic Acids Research, Neuron and Journal of Clinical Oncology.

In The Last Decade

Song Dong

71 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Dong China 20 800 510 355 287 156 79 1.4k
Lars Blumenstein Germany 18 944 1.2× 298 0.6× 347 1.0× 143 0.5× 184 1.2× 37 1.3k
Elena Ardini Italy 21 1.0k 1.3× 343 0.7× 537 1.5× 160 0.6× 60 0.4× 38 1.6k
Mitsugu Araki Japan 20 1.1k 1.3× 426 0.8× 394 1.1× 124 0.4× 225 1.4× 49 1.4k
Carole Sourbier United States 28 1.7k 2.1× 628 1.2× 352 1.0× 810 2.8× 49 0.3× 59 2.3k
Gillian Paine-Murrieta United States 16 1.4k 1.8× 185 0.4× 323 0.9× 545 1.9× 80 0.5× 18 2.1k
Jamey P. Weichert United States 25 529 0.7× 399 0.8× 448 1.3× 262 0.9× 205 1.3× 110 2.1k
Barbara Mroczkowski United States 18 1.5k 1.9× 662 1.3× 850 2.4× 227 0.8× 76 0.5× 24 2.4k
Melissa Rotunno United States 24 1.2k 1.5× 494 1.0× 332 0.9× 620 2.2× 44 0.3× 48 2.3k
William R. Schelman United States 19 622 0.8× 256 0.5× 588 1.7× 349 1.2× 33 0.2× 81 1.5k
Egon Persson Denmark 30 585 0.7× 387 0.8× 108 0.3× 156 0.5× 67 0.4× 103 2.7k

Countries citing papers authored by Song Dong

Since Specialization
Citations

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

Fields of papers citing papers by Song Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Song Dong. A scholar is included among the top collaborators of Song 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 Song Dong. Song Dong 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.
Cao, Xinxin, Hu Liu, Zhao Li, et al.. (2025). Detection of tissue colonizing bacteria and their association with clinicopathological and molecular features of inflammatory bowel disease. Journal of Translational Medicine. 23(1). 1107–1107. 1 indexed citations
2.
Dong, Song, Zhao Yang, Yizhi Liu, Jie Ma, & Jiguang Wang. (2025). EPCO-29. WHOLE-GENOME SEQUENCING REVEALS GENOMIC SIGNATURE OF INTRACRANIAL YOLK SAC TUMORS. Neuro-Oncology. 27(Supplement_5). v8–v8.
3.
Zhang, Menghan, et al.. (2025). Patterns and prognostic implications of distant metastasis in breast Cancer based on SEER population data. Scientific Reports. 15(1). 26717–26717. 1 indexed citations
4.
Zhang, Minghao, Wei Chang, Yonghai Fan, et al.. (2025). Deciphering the genetic regulation of flowering time in rapeseed for early-maturation breeding. Journal of genetics and genomics. 53(1). 16–27. 1 indexed citations
5.
Li, Hua, Meichun Hu, Ni Zhu, et al.. (2025). The protective effect of naringenin on ulcerative colitis in mice through increasing Nrf2 pathway activity. Acta Biochimica et Biophysica Sinica. 57(7). 1068–1080. 2 indexed citations
6.
7.
Rao, Jun, Jiali Li, Hongyun Liu, et al.. (2024). Optimized BEAC conditioning regimen improves clinical outcomes of autologous hematopoietic stem cell transplantation in non-Hodgkin lymphomas. International Journal of Hematology. 120(1). 96–105.
8.
9.
Fu, Li, et al.. (2023). P1191: A NOVEL PROGNOSTIC MODEL OF DLBCL PATIENTS BASED ON CUPROPTOSIS RELATED GENES. HemaSphere. 7(S3). e4495877–e4495877.
10.
Zhang, Jia‐Tao, Song Dong, Jiaying Zhou, et al.. (2022). Intratumoral genetic and immune microenvironmental heterogeneity in T4N0M0 (diameter ≥ 7 cm) non‐small cell lung cancers. Thoracic Cancer. 13(9). 1333–1341. 2 indexed citations
11.
Liao, Ri-Qiang, Hong‐Hong Yan, Jun‐Tao Lin, et al.. (2022). Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images. Frontiers in Oncology. 12. 1002953–1002953. 9 indexed citations
12.
Du, Ye, et al.. (2020). A miR-210-3p regulon that controls the Warburg effect by modulating HIF-1α and p53 activity in triple-negative breast cancer. Cell Death and Disease. 11(9). 731–731. 93 indexed citations
13.
Rehman, Ashfaq Ur, Muhammad Tahir Khan, Shah Saud, et al.. (2018). The Landscape of Protein Tyrosine Phosphatase (Shp2) and Cancer. Current Pharmaceutical Design. 24(32). 3767–3777. 40 indexed citations
14.
Zhong, Wen‐Zhao, Xue‐Ning Yang, Hong‐Hong Yan, et al.. (2017). P1.05-046 Randomized Study of Adjuvant Docetaxel vs. Observation for Completely Resected Stage IB-IIIa NSCLC with 11 Years' Median Follow-Up. Journal of Thoracic Oncology. 12(1). S642–S643. 1 indexed citations
15.
Zhong, Wen‐Zhao, Jian Su, Fangping Xu, et al.. (2015). Rare discrepancies in a driver gene alteration within histologically heterogeneous primary lung cancers. Lung Cancer. 90(2). 205–211. 6 indexed citations
16.
Zhang, Xu‐Chao, Song Dong, Hua Cheng, et al.. (2013). Targeting mTOR to Overcome Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor Resistance in Non-Small Cell Lung Cancer Cells. PLoS ONE. 8(7). e69104–e69104. 42 indexed citations
17.
Dong, Song, Xu‐Chao Zhang, Hua Cheng, et al.. (2012). Everolimus synergizes with gefitinib in non-small-cell lung cancer cell lines resistant to epidermal growth factor receptor tyrosine kinase inhibitors. Cancer Chemotherapy and Pharmacology. 70(5). 707–716. 35 indexed citations
18.
Cheng, Hua, Shejuan An, Song Dong, et al.. (2011). Molecular mechanism of the schedule-dependent synergistic interaction in EGFR-mutant non-small cell lung cancer cell lines treated with paclitaxel and gefitinib. Journal of Hematology & Oncology. 4(1). 5–5. 28 indexed citations
19.
Cheng, Hua, Shejuan An, Xu‐Chao Zhang, et al.. (2010). In vitro sequence-dependent synergism between paclitaxel and gefitinib in human lung cancer cell lines. Cancer Chemotherapy and Pharmacology. 67(3). 637–646. 52 indexed citations
20.
Dong, Song. (2001). Traumatic Carotid-Cavernous Fistula; Angiographic Classification and Treatment. 1 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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