Ming Song

2.3k total citations
92 papers, 1.6k citations indexed

About

Ming Song is a scholar working on Molecular Biology, Oncology and Otorhinolaryngology. According to data from OpenAlex, Ming Song has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 35 papers in Oncology and 30 papers in Otorhinolaryngology. Recurrent topics in Ming Song's work include Head and Neck Cancer Studies (30 papers), Cancer-related molecular mechanisms research (12 papers) and Head and Neck Surgical Oncology (10 papers). Ming Song is often cited by papers focused on Head and Neck Cancer Studies (30 papers), Cancer-related molecular mechanisms research (12 papers) and Head and Neck Surgical Oncology (10 papers). Ming Song collaborates with scholars based in China, United States and United Kingdom. Ming Song's co-authors include Shuwei Chen, Huan Li, An-Kui Yang, Peng Huang, Yumin Hu, Peng Wang, Jing Yang, Ming-zhe Ma, Shijun Wen and Wen-Hua Lu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Ming Song

86 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Song China 24 828 471 459 277 267 92 1.6k
Glenn S. Kroog United States 21 663 0.8× 262 0.6× 700 1.5× 346 1.2× 126 0.5× 71 1.6k
Quintin Pan United States 24 1.2k 1.4× 442 0.9× 631 1.4× 163 0.6× 84 0.3× 44 1.8k
Kai‐Tai Yao China 23 1.3k 1.6× 770 1.6× 745 1.6× 133 0.5× 140 0.5× 74 2.1k
Kwang‐Yu Chang Taiwan 21 772 0.9× 393 0.8× 328 0.7× 207 0.7× 113 0.4× 58 1.3k
Helen Valentine United Kingdom 21 792 1.0× 730 1.5× 281 0.6× 268 1.0× 242 0.9× 48 1.5k
Li Ren Kong China 23 887 1.1× 476 1.0× 646 1.4× 501 1.8× 176 0.7× 77 2.0k
Mang Xiao China 24 732 0.9× 300 0.6× 343 0.7× 268 1.0× 116 0.4× 59 1.6k
Eloísa Jantus‐Lewintre Spain 29 1.0k 1.3× 923 2.0× 679 1.5× 619 2.2× 98 0.4× 97 2.2k
Kwan‐Hwa Chi Taiwan 24 494 0.6× 252 0.5× 680 1.5× 336 1.2× 330 1.2× 63 1.8k

Countries citing papers authored by Ming Song

Since Specialization
Citations

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

Fields of papers citing papers by Ming Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Song. A scholar is included among the top collaborators of Ming 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 Ming Song. Ming 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
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Lin, Qiaohong, et al.. (2024). The Treatment of Primary Lymphoepithelioma‐Like Carcinoma in the Head and Neck and Nasopharyngeal Carcinoma. Cancer Medicine. 13(22). e70389–e70389. 1 indexed citations
4.
Chen, Shu-Wei, Xing Zhang, Hui Li, et al.. (2024). Neoadjuvant sintilimab and platinum-doublet chemotherapy followed by transoral robotic surgery for HPV-associated resectable oropharyngeal cancer: Single-arm, phase II trial.. Journal of Clinical Oncology. 42(16_suppl). 6011–6011. 2 indexed citations
5.
Wu, Tong, Zhongyuan Yang, Weichao Chen, et al.. (2023). miR-30e-5p-mediated FOXD1 promotes cell proliferation by blocking cellular senescence and apoptosis through p21/CDK2/Rb signaling in head and neck carcinoma. Cell Death Discovery. 9(1). 295–295. 6 indexed citations
6.
Chen, Jingtao, Jia Wang, Hui Li, et al.. (2023). Treatment outcomes of mucosal melanoma of the head and neck: Analysis of 190 cases from a single institution. Laryngoscope Investigative Otolaryngology. 8(3). 686–692. 2 indexed citations
7.
Liu, Lili, Lijun Wei, Wenmei Jiang, et al.. (2023). Neoadjuvant chemoimmunotherapy shows major pathological response and low recurrence in head and neck squamous cell carcinoma. Clinical & Translational Oncology. 26(5). 1192–1202. 5 indexed citations
8.
Li, Huan, et al.. (2022). Correlation analysis of plasma lipid profiles and the prognosis of head and neck squamous cell carcinoma. Oral Diseases. 30(2). 329–341. 4 indexed citations
9.
Peng, Jianmin, Qinchao Hu, Xijuan Chen, et al.. (2021). Diet-induced obesity accelerates oral carcinogenesis by recruitment and functional enhancement of myeloid-derived suppressor cells. Cell Death and Disease. 12(10). 946–946. 42 indexed citations
10.
Tian, Jingyu, Hui Zhang, Jing Yang, et al.. (2021). Loss of mitochondrial aconitase promotes colorectal cancer progression via SCD1-mediated lipid remodeling. Molecular Metabolism. 48. 101203–101203. 29 indexed citations
11.
Chen, Shuwei, Huan Li, Xiyuan Li, et al.. (2020). High SOX8 expression promotes tumor growth and predicts poor prognosis through GOLPH3 signaling in tongue squamous cell carcinoma. Cancer Medicine. 9(12). 4274–4289. 12 indexed citations
12.
Hu, Qinchao, Tong Wu, Xiaobing Chen, et al.. (2018). The poor outcome of second primary oral squamous cell carcinoma is attributed to Bmi1 upregulation. Cancer Medicine. 7(4). 1056–1069. 16 indexed citations
13.
Xiang, Qiuping, Yan Zhang, Xiaoqian Xue, et al.. (2018). Y08060: A Selective BET Inhibitor for Treatment of Prostate Cancer. ACS Medicinal Chemistry Letters. 9(3). 262–267. 20 indexed citations
14.
Zhang, Yan, Ming Song, Xiaoqian Xue, et al.. (2018). Structure-Based Discovery and Optimization of Benzo[d]isoxazole Derivatives as Potent and Selective BET Inhibitors for Potential Treatment of Castration-Resistant Prostate Cancer (CRPC). Journal of Medicinal Chemistry. 61(7). 3037–3058. 49 indexed citations
15.
Hu, Qinchao, Jianmin Peng, Xijuan Chen, et al.. (2018). Obesity and genes related to lipid metabolism predict poor survival in oral squamous cell carcinoma. Oral Oncology. 89. 14–22. 53 indexed citations
16.
Song, Ming, et al.. (2017). Can we identify the patients with clinically T1-2N0 oral tongue squamous cell carcinoma benefiting from neck dissection?. 10(2). 4023–4034. 4 indexed citations
17.
Li, Huan, Ji Zhang, Shuwei Chen, et al.. (2015). Cancer-associated fibroblasts provide a suitable microenvironment for tumor development and progression in oral tongue squamous cancer. Journal of Translational Medicine. 13(1). 198–198. 53 indexed citations
18.
He, Jiehua, et al.. (2014). Influence of risk grouping on therapeutic decisions in patients with anaplastic thyroid carcinoma. European Archives of Oto-Rhino-Laryngology. 272(4). 985–993. 4 indexed citations
19.
Song, Ming, et al.. (2013). Mandibular lingual release approach: an appropriate approach for total or subtotal glossectomy. Head & Neck Oncology. 5(2). 5 indexed citations
20.
Wu, Guohao, et al.. (2007). [Postoperative recurrence-related factors of 125 patients with cT1-2N0 squamous cell carcinoma of the oral tongue].. PubMed. 26(6). 661–5. 5 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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