Chengcheng Song

1.2k total citations
42 papers, 778 citations indexed

About

Chengcheng Song is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Chengcheng Song has authored 42 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Biomedical Engineering. Recurrent topics in Chengcheng Song's work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers) and Ginseng Biological Effects and Applications (4 papers). Chengcheng Song is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers) and Ginseng Biological Effects and Applications (4 papers). Chengcheng Song collaborates with scholars based in China, Macao and United States. Chengcheng Song's co-authors include Fu‐Sheng Du, Zichen Li, Yifa Zhou, Ran Ji, Dehai Liang, Guokai Chen, Weiwei Liu, Mei Zhang, Xiaodong Geng and Quan Hong and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Molecules.

In The Last Decade

Chengcheng Song

38 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengcheng Song China 18 418 96 95 74 70 42 778
Minmin Wu China 16 202 0.5× 69 0.7× 55 0.6× 72 1.0× 68 1.0× 40 772
Mingjun Wu China 15 385 0.9× 86 0.9× 36 0.4× 75 1.0× 47 0.7× 37 752
Michael Knoll United States 17 421 1.0× 91 0.9× 133 1.4× 54 0.7× 120 1.7× 21 1.0k
Lili Huang China 15 385 0.9× 88 0.9× 53 0.6× 54 0.7× 62 0.9× 33 817
Chenxi Yang China 16 308 0.7× 116 1.2× 132 1.4× 48 0.6× 42 0.6× 45 763
Shuang Lin China 15 428 1.0× 132 1.4× 102 1.1× 17 0.2× 130 1.9× 34 819
Jia Chen China 14 277 0.7× 72 0.8× 49 0.5× 27 0.4× 70 1.0× 38 639
Qun Zhang China 17 667 1.6× 158 1.6× 59 0.6× 39 0.5× 69 1.0× 47 1.0k
Shiwei Zhang China 18 556 1.3× 168 1.8× 57 0.6× 138 1.9× 112 1.6× 72 1.1k

Countries citing papers authored by Chengcheng Song

Since Specialization
Citations

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

Fields of papers citing papers by Chengcheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcheng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcheng Song. A scholar is included among the top collaborators of Chengcheng 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 Chengcheng Song. Chengcheng 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.
Zhao, Yuying, et al.. (2025). MiR-23b regulation of metabolites in neuropathic pain: A novel approach. Behavioural Brain Research. 495. 115768–115768.
3.
Liu, Weiwei, Ziqing He, Xiao Xia, et al.. (2024). Medium acidosis drives cardiac differentiation during mesendoderm cell fate specification from human pluripotent stem cells. Stem Cell Reports. 19(9). 1304–1319. 1 indexed citations
4.
Zhang, Yifan, Xiaodong Geng, Kun Chi, et al.. (2023). Optimization strategies of mesenchymal stem cell-based therapy for acute kidney injury. Stem Cell Research & Therapy. 14(1). 116–116. 13 indexed citations
5.
Ran, Rong, et al.. (2023). Recentralization and the long‐lasting effect of campaign‐style enforcement: From the perspective of authority allocation. Review of Policy Research. 41(1). 239–275. 6 indexed citations
6.
Song, Chengcheng, Zhenyu Qiu, & Liuqingqing Yang. (2023). How does digital financial inclusion affect green economic development? A perspective from regional competitions. Elementa Science of the Anthropocene. 11(1). 7 indexed citations
7.
Feng, Zheng, Ди Шао, Yuhang Cai, et al.. (2023). Homologous recombination deficiency status predicts response to platinum-based chemotherapy in Chinese patients with high-grade serous ovarian carcinoma. Journal of Ovarian Research. 16(1). 53–53. 17 indexed citations
8.
Wu, Ziqian, Liangcai Zhao, Chengcheng Song, et al.. (2022). Metabolomics-based study of the potential interventional effects of Xiao-Xu-Ming Decoction on cerebral ischemia/reperfusion rats. Journal of Ethnopharmacology. 295. 115379–115379. 13 indexed citations
9.
Yang, Siwen, Ting Liu, Weili Li, et al.. (2022). Ginsenoside Compound K Protects against Obesity through Pharmacological Targeting of Glucocorticoid Receptor to Activate Lipophagy and Lipid Metabolism. Pharmaceutics. 14(6). 1192–1192. 22 indexed citations
10.
Song, Chengcheng, Shuqiang Wang, Kun Chi, et al.. (2022). IGFBP5 promotes diabetic kidney disease progression by enhancing PFKFB3-mediated endothelial glycolysis. Cell Death and Disease. 13(4). 340–340. 55 indexed citations
11.
Geng, Xiaodong, Kun Chi, Chengcheng Song, et al.. (2022). Efficacy and Safety of Daprodustat Vs rhEPO for Anemia in Patients With Chronic Kidney Disease: A Meta-Analysis and Trial Sequential Analysis. Frontiers in Pharmacology. 13. 746265–746265. 11 indexed citations
12.
Liu, Chao, Jiawei Jiang, Kun Chi, et al.. (2021). Safety and Efficacy of Roxadustat for Anemia in Patients With Chronic Kidney Disease: A Meta-Analysis and Trial Sequential Analysis. Frontiers in Medicine. 8. 724456–724456. 8 indexed citations
13.
Song, Chengcheng, et al.. (2021). Protocol for intracellular and extracellular metabolite detection in human embryonic stem cells. STAR Protocols. 2(3). 100740–100740. 7 indexed citations
15.
16.
Chen, Dongju, Chunli Wang, Qi Li, et al.. (2021). GSA: an independent development algorithm for calling copy number and detecting homologous recombination deficiency (HRD) from target capture sequencing. BMC Bioinformatics. 22(1). 562–562. 13 indexed citations
17.
Geng, Xiaodong, Kun Chi, Chengcheng Song, et al.. (2021). Efficacy and safety of finerenone in patients with chronic kidney disease: a systematic review with meta-analysis and trial sequential analysis. Annals of Palliative Medicine. 10(7). 7428–7439. 17 indexed citations
18.
Dong, Shuangshuang, Chunyan Wang, Xueping Li, et al.. (2019). Noncoding rare variants of TBX6 in congenital anomalies of the kidney and urinary tract. Molecular Genetics and Genomics. 294(2). 493–500. 6 indexed citations
19.
Gou, Dongxia, Jiao Wang, Yue Wang, et al.. (2019). Antiarrhythmic effects of ginsenoside Rg2 on calcium chloride–induced arrhythmias without oral toxicity. Journal of Ginseng Research. 44(5). 717–724. 21 indexed citations
20.
Zheng, Yan, Hongmei Nan, Miao Hao, et al.. (2013). Antiproliferative effects of protopanaxadiol ginsenosides on human colorectal cancer cells. Biomedical Reports. 1(4). 555–558. 17 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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