Kai Song

2.0k total citations · 2 hit papers
85 papers, 1.1k citations indexed

About

Kai Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Kai Song has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 17 papers in Pulmonary and Respiratory Medicine and 17 papers in Cancer Research. Recurrent topics in Kai Song's work include Genomics and Phylogenetic Studies (13 papers), RNA modifications and cancer (11 papers) and Colorectal Cancer Treatments and Studies (10 papers). Kai Song is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), RNA modifications and cancer (11 papers) and Colorectal Cancer Treatments and Studies (10 papers). Kai Song collaborates with scholars based in China, United States and Hong Kong. Kai Song's co-authors include Fengzhu Sun, Nathan A. Ahlgren, Yi Li, Chao Deng, Xiaohui Xie, Ryan Poplin, Jie Ren, Jed A. Fuhrman, Jie Ren and Minghua Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Kai Song

80 papers receiving 1.1k citations

Hit Papers

Identifying viruses from metagenomic data using deep lear... 2020 2026 2022 2024 2020 2023 100 200 300

Peers

Kai Song
Chao Deng China
Daniela Börnigen United States
Scott Tighe United States
Feifei Xu China
Yimin He China
Kai Song
Citations per year, relative to Kai Song Kai Song (= 1×) peers Francesco M. Mancuso

Countries citing papers authored by Kai Song

Since Specialization
Citations

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

Fields of papers citing papers by Kai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Song. A scholar is included among the top collaborators of Kai 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 Kai Song. Kai 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.
Tian, Tian, Mingxiong He, Xiaofang Liu, et al.. (2025). Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research. Scientific Reports. 15(1). 4489–4489.
2.
Zhou, Zeyu, Kai Song, Zhiyan Liu, et al.. (2024). Branched-chain amino acids deficiency promotes diabetic cardiomyopathy by activating autophagy of cardiac fibroblasts. Theranostics. 14(19). 7333–7348. 2 indexed citations
3.
Buuren, Nicholas van, Lance U’Ren, Kai Song, et al.. (2024). 184 Biomarker analysis of magrolimab plus docetaxel in patients with 2L+ mNSCLC from ELEVATE-Lung and UC, a phase 2 multicohort study. Regular and Young Investigator Award Abstracts. A212–A212. 1 indexed citations
4.
Tu, Bin, et al.. (2023). Epigenetic hallmarks in pulmonary fibrosis: New advances and perspectives. Cellular Signalling. 110. 110842–110842. 8 indexed citations
5.
Song, Kai, et al.. (2023). New aspects of the epigenetic regulation of EMT related to pulmonary fibrosis. European Journal of Pharmacology. 956. 175959–175959. 18 indexed citations
6.
Dong, Shuan, Yan Guo, Shasha Liu, et al.. (2023). A randomized, controlled clinical trial comparing remimazolam to propofol when combined with alfentanil for sedation during ERCP procedures. Journal of Clinical Anesthesia. 86. 111077–111077. 55 indexed citations breakdown →
7.
Tian, Yuan, Xin Li, Wan‐Ping Chen, et al.. (2023). A study of the oxidation mechanism of the organic pigment indigo in grottoes murals by ozone under dark conditions. Heritage Science. 11(1). 1 indexed citations
8.
Liu, Qingchun & Kai Song. (2023). ProgCAE: a deep learning-based method that integrates multi-omics data to predict cancer subtypes. Briefings in Bioinformatics. 24(4). 8 indexed citations
9.
Zhou, Yang, et al.. (2023). Epigenetic reader MeCP2 repressed WIF1 boosts lung fibroblast proliferation, migration and pulmonary fibrosis. Toxicology Letters. 381. 1–12. 2 indexed citations
10.
Jiang, Li, Tan Wu, Kai Song, et al.. (2022). Integrative network analysis reveals subtype-specific long non-coding RNA regulatory mechanisms in head and neck squamous cell carcinoma. Computational and Structural Biotechnology Journal. 21. 535–549. 6 indexed citations
11.
12.
Song, Kai, Junyan Jin, Ping Zhang, et al.. (2022). Development and evaluation of a multiplex droplet digital polymerase chain reaction method for simultaneous detection of five biothreat pathogens. Frontiers in Microbiology. 13. 970973–970973. 19 indexed citations
13.
Song, Kai, Hao Cai, Hailong Zheng, et al.. (2021). Multilevel prioritization of gene regulators associated with consensus molecular subtypes of colorectal cancer. Briefings in Bioinformatics. 22(5). 5 indexed citations
14.
Yang, Jing, Kai Song, Wenbing Guo, et al.. (2020). A Qualitative Transcriptional Signature for Predicting Prognosis and Response to Bevacizumab in Metastatic Colorectal Cancer. Molecular Cancer Therapeutics. 19(7). 1497–1505. 5 indexed citations
15.
Cai, Hao, Xiangyü Li, Jun He, et al.. (2019). Identification and characterization of genes with absolute mRNA abundances changes in tumor cells with varied transcriptome sizes. BMC Genomics. 20(1). 134–134. 3 indexed citations
16.
Li, Yu, Yejing Wang, Kai Song, et al.. (2018). A rapid and sensitive colorimetric assay for the determination of adenosine kinase activity. Biochemical and Biophysical Research Communications. 502(2). 250–254. 6 indexed citations
17.
Liu, Huaping, Yawei Li, Jun He, et al.. (2017). Robust transcriptional signatures for low-input RNA samples based on relative expression orderings. BMC Genomics. 18(1). 913–913. 40 indexed citations
18.
He, Jun, Haidan Yan, Hao Cai, et al.. (2017). Statistically controlled identification of differentially expressed genes in one-to-one cell line comparisons of the CMAP database for drug repositioning. Journal of Translational Medicine. 15(1). 198–198. 12 indexed citations
19.
Tian, Shiping, Jingjing Xing, Dongchao Ji, Kai Song, & Tong Chen. (2015). Studies of Innate Immunity Mediated by Lysin Motif Protein and Its Signaling Priming. Chinese Bulletin of Botany. 50(5). 628. 2 indexed citations
20.
Reinert, Gesine, et al.. (2012). Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads. Journal of Computational Biology. 19(6). 839–854. 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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