Xiaomeng Song

1.8k total citations
64 papers, 1.3k citations indexed

About

Xiaomeng Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaomeng Song has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Xiaomeng Song's work include RNA modifications and cancer (9 papers), Head and Neck Cancer Studies (8 papers) and Axon Guidance and Neuronal Signaling (7 papers). Xiaomeng Song is often cited by papers focused on RNA modifications and cancer (9 papers), Head and Neck Cancer Studies (8 papers) and Axon Guidance and Neuronal Signaling (7 papers). Xiaomeng Song collaborates with scholars based in China, United States and Australia. Xiaomeng Song's co-authors include Heming Wu, Jinhai Ye, Yunong Wu, Xu Ding, Yunong Wu, Yang Zheng, Lu Ma, Yanling Wang, Ronghui Xia and Xueming Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Xiaomeng Song

64 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomeng Song China 21 792 331 324 173 138 64 1.3k
Yunong Wu China 19 513 0.6× 215 0.6× 282 0.9× 67 0.4× 109 0.8× 33 999
Rifat Hasina United States 19 612 0.8× 275 0.8× 326 1.0× 69 0.4× 218 1.6× 38 1.1k
Zhihang Zhou China 19 509 0.6× 210 0.6× 262 0.8× 88 0.5× 84 0.6× 78 1.1k
Shigehiro Ono Japan 21 593 0.7× 150 0.5× 305 0.9× 65 0.4× 229 1.7× 88 1.2k
Eri Sasabe Japan 18 614 0.8× 450 1.4× 234 0.7× 58 0.3× 158 1.1× 40 1.2k
Kristy A. Warner United States 25 1.0k 1.3× 381 1.2× 890 2.7× 118 0.7× 115 0.8× 47 1.9k
Coro Bescós Spain 12 785 1.0× 847 2.6× 343 1.1× 49 0.3× 197 1.4× 35 1.6k
Kyoko Hida Japan 24 1.1k 1.4× 623 1.9× 672 2.1× 195 1.1× 193 1.4× 58 1.8k
John C. Sok United States 13 819 1.0× 136 0.4× 401 1.2× 140 0.8× 312 2.3× 15 1.5k
Hsi‐Feng Tu Taiwan 24 1.2k 1.5× 1.1k 3.2× 295 0.9× 39 0.2× 134 1.0× 76 1.8k

Countries citing papers authored by Xiaomeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomeng Song. A scholar is included among the top collaborators of Xiaomeng 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 Xiaomeng Song. Xiaomeng 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.
Han, Zifeng, Xinfeng Wang, Xin Xin, et al.. (2024). Development of a data-driven three-dimensional PM2.5 forecast model based on machine learning algorithms. Environmental Technology & Innovation. 37. 103930–103930. 3 indexed citations
2.
Hu, Liping, et al.. (2023). Identification of novel aminopyrimidine derivatives for the treatment of mutant NSCLC. European Journal of Medicinal Chemistry. 265. 116074–116074. 9 indexed citations
3.
Fan, Mengmeng, et al.. (2023). Design, synthesis and biological evaluation of EGFR kinase inhibitors that spans the orthosteric and allosteric sites. Bioorganic & Medicinal Chemistry. 96. 117534–117534. 7 indexed citations
4.
Chen, Xinlei, Xiaomeng Song, Xue Song, et al.. (2023). ATHENA: an independently validated autophagy-related epigenetic prognostic prediction model of head and neck squamous cell carcinoma. Clinical Epigenetics. 15(1). 97–97. 1 indexed citations
5.
Wang, Chao, Zhihong Chen, Xueming Yang, et al.. (2022). Identification of Biomarkers Related to Regulatory T Cell Infiltration in Oral Squamous Cell Carcinoma Based on Integrated Bioinformatics Analysis. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Meng, Ying, Yuting Tang, Wei Han, et al.. (2022). Metabolomic Analysis Reveals that SPHK1 Promotes Oral Squamous Cell Carcinoma Progression through NF-κB Activation. Annals of Surgical Oncology. 29(12). 7386–7399. 7 indexed citations
7.
8.
Song, An, Junbo Zhou, Jinhai Ye, et al.. (2021). Ubiquitin D Promotes Progression of Oral Squamous Cell Carcinoma via NF-Kappa B Signaling. Molecules and Cells. 44(7). 468–480. 14 indexed citations
9.
Zhao, Ze, Mengting Wu, Xiaomeng Song, et al.. (2021). The E3 ubiquitin ligase TRIM31 is involved in cerebral ischemic injury by promoting degradation of TIGAR. Redox Biology. 45. 102058–102058. 41 indexed citations
10.
Zheng, Yang, Yuanyuan Wu, Xu Ding, et al.. (2020). Perineural invasion, lactate dehydrogenase, globulin, and serum sodium predicting occult metastasis in oral cancer. Oral Diseases. 28(1). 132–141. 13 indexed citations
11.
Wu, Yuanyuan, et al.. (2020). Prognostic value of log odds of positive lymph nodes in patients with resectable oral squamous cell carcinoma. Oral Oncology. 108. 104709–104709. 13 indexed citations
12.
Zheng, Yang, An Song, Yan Zhou, et al.. (2020). Identification of extracellular vesicles-transported miRNAs in Erlotinib-resistant head and neck squamous cell carcinoma. Journal of Cell Communication and Signaling. 14(4). 389–402. 26 indexed citations
13.
Zheng, Yang, Chundi Wang, Xu Ding, et al.. (2018). MiR-876-5p modulates head and neck squamous cell carcinoma metastasis and invasion by targeting vimentin. Cancer Cell International. 18(1). 121–121. 28 indexed citations
14.
Zheng, Yang, Zhao Wang, Xu Ding, et al.. (2018). A novel Notch1 missense mutation (C1133Y) in the Abruptex domain exhibits enhanced proliferation and invasion in oral squamous cell carcinoma. Cancer Cell International. 18(1). 6–6. 19 indexed citations
15.
Du, Yifei, Jin Bai, Xiaomeng Song, et al.. (2017). RUNX3 plays a tumor suppressor role by inhibiting cell migration, invasion and angiogenesis in oral squamous cell carcinoma. Oncology Reports. 38(4). 2378–2386. 11 indexed citations
16.
Shen, Lei, Zhilin Qi, Yanyan Zhu, et al.. (2016). Phosphorylated heat shock protein 27 promotes lipid clearance in hepatic cells through interacting with STAT3 and activating autophagy. Cellular Signalling. 28(8). 1086–1098. 24 indexed citations
17.
Yao, Zhi, Yu-Ting Huang, Zheng Fu, et al.. (2016). Therapeutic effects of tyroservatide on metastasis of lung cancer and its mechanism affecting integrin–focal adhesion kinase signal transduction. Drug Design Development and Therapy. 10. 649–649. 11 indexed citations
18.
Yang, Xueming, et al.. (2015). Clinicopathological Characteristics and Outcome Predictors in Squamous Cell Carcinoma of the Maxillary Gingiva and Hard Palate. Journal of Oral and Maxillofacial Surgery. 73(7). 1429–1436. 27 indexed citations
19.
Song, Xiaomeng, Ronghui Xia, Jiang Li, et al.. (2013). Common and Complex Notch1 Mutations in Chinese Oral Squamous Cell Carcinoma. Clinical Cancer Research. 20(3). 701–710. 86 indexed citations
20.
Song, Xiaomeng, et al.. (2012). Expression of semaphorin 3A and neuropilin 1 with clinicopathological features and survival in human tongue cancer. Medicina oral, patología oral y cirugía bucal. 17(6). e962–e968. 28 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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