Fuchao Ma

882 total citations
25 papers, 407 citations indexed

About

Fuchao Ma is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fuchao Ma has authored 25 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fuchao Ma's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (6 papers). Fuchao Ma is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (6 papers). Fuchao Ma collaborates with scholars based in China, United Kingdom and United States. Fuchao Ma's co-authors include Gang Chen, Rong‐Quan He, Xiaohua Hu, Zu-yun Li, Dandan Xiong, Lu Liang, Peng Lin, Dianzhong Luo, Yi‐Wu Dang and Jie Ma and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Medicine.

In The Last Decade

Fuchao Ma

25 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuchao Ma China 13 319 223 60 50 32 25 407
Yimin Xiong China 10 248 0.8× 153 0.7× 59 1.0× 38 0.8× 40 1.3× 16 375
Longci Sun China 9 197 0.6× 127 0.6× 53 0.9× 71 1.4× 29 0.9× 17 327
Haitao Zhang China 11 221 0.7× 172 0.8× 53 0.9× 30 0.6× 23 0.7× 25 340
Wenxuan Wu China 8 314 1.0× 301 1.3× 64 1.1× 114 2.3× 47 1.5× 14 461
Shi-Zhe Zhang China 6 215 0.7× 190 0.9× 49 0.8× 38 0.8× 39 1.2× 8 319
Xu Lu China 9 271 0.8× 209 0.9× 43 0.7× 27 0.5× 56 1.8× 10 371
Bensong Duan China 13 265 0.8× 209 0.9× 47 0.8× 48 1.0× 52 1.6× 27 363
Deyang Li China 12 204 0.6× 110 0.5× 52 0.9× 35 0.7× 26 0.8× 23 310

Countries citing papers authored by Fuchao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fuchao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuchao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Fuchao Ma. A scholar is included among the top collaborators of Fuchao Ma 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 Fuchao Ma. Fuchao Ma 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.
2.
Tang, Wei, Jian‐Di Li, Rong‐Quan He, et al.. (2022). Downregulation of the enhancer of zeste homolog 1 transcriptional factor predicts poor prognosis of triple-negative breast cancer patients. PeerJ. 10. e13708–e13708. 4 indexed citations
3.
Zeng, Zhiming, Ning Mo, Jie Zeng, et al.. (2022). Advances in postoperative adjuvant therapy for primary liver cancer. World Journal of Gastrointestinal Oncology. 14(9). 1604–1621. 20 indexed citations
4.
Ma, Fuchao, et al.. (2021). Prognostic factors of patients after liver cancer surgery. Medicine. 100(30). e26694–e26694. 2 indexed citations
5.
6.
Gao, Li, Yu‐Yan Pang, Jingjing Zeng, et al.. (2020). Polo like kinase 1 expression in cervical cancer tissues generated from multiple detection methods. PeerJ. 8. e10458–e10458. 12 indexed citations
7.
Ma, Fuchao, Rong‐Quan He, Peng Lin, et al.. (2019). Profiling of prognostic alternative splicing in melanoma. Oncology Letters. 18(2). 1081–1088. 7 indexed citations
8.
Wu, Huayu, Fuchao Ma, Yi‐Wu Dang, et al.. (2019). Prognostic alternative splicing signatures and underlying regulatory network in esophageal carcinoma.. PubMed. 11(7). 4010–4028. 12 indexed citations
9.
Guo, Yinan, Hao Dong, Fuchao Ma, et al.. (2019). The clinicopathological significance of decreased miR-125b-5p in hepatocellular carcinoma: evidence based on RT-qPCR, microRNA-microarray, and microRNA-sequencing.. PubMed. 12(1). 21–39. 5 indexed citations
10.
Gao, Li, Yinan Guo, Jiang‐Hui Zeng, et al.. (2019). The expression, significance and function of cancer susceptibility candidate�9 in lung squamous cell carcinoma: A bioinformatics and in�vitro investigation. International Journal of Oncology. 54(5). 1651–1664. 23 indexed citations
11.
Huang, Jiacheng, Jiayin Hou, Rong‐Quan He, et al.. (2018). The expression and biological information analysis of miR-375-3p in head and neck squamous cell carcinoma based on 1825 samples from GEO, TCGA, and peer-reviewed publications. Pathology - Research and Practice. 214(11). 1835–1847. 14 indexed citations
12.
Lin, Peng, Rong‐Quan He, Fuchao Ma, et al.. (2018). Systematic Analysis of Survival-Associated Alternative Splicing Signatures in Gastrointestinal Pan-Adenocarcinomas. EBioMedicine. 34. 46–60. 49 indexed citations
13.
Xiong, Dandan, Zu-yun Li, Lu Liang, et al.. (2018). The LncRNA NEAT1 Accelerates Lung Adenocarcinoma Deterioration and Binds to Mir-193a-3p as a Competitive Endogenous RNA. Cellular Physiology and Biochemistry. 48(3). 905–918. 68 indexed citations
14.
Li, Xiao‐Jiao, et al.. (2018). Clinical value of survivin and its underlying mechanism in ovarian cancer: A bioinformatics study based on GEO and TCGA data mining. Pathology - Research and Practice. 214(3). 385–401. 13 indexed citations
15.
Fang, Ye‐Ying, Fuchao Ma, Wenqi Luo, et al.. (2018). Clinicopathological significance of ribosomal protein S6 kinase A6 in lung squamous cell carcinoma: an immunohistochemical and RNA-seq study.. PubMed. 11(3). 1318–1327. 5 indexed citations
16.
Ma, Fuchao, Qian Yu, Zhiming Zeng, et al.. (2017). Progression-free survival of up to 8 months of an advanced intrahepatic cholangiocarcinoma patient treated with apatinib: a case report. OncoTargets and Therapy. Volume 10. 5237–5242. 4 indexed citations
17.
Wang, Shuai, Chongming Wu, Xin Li, et al.. (2017). Syringaresinol-4-O-β-d-glucoside alters lipid and glucose metabolism in HepG2 cells and C2C12 myotubes. Acta Pharmaceutica Sinica B. 7(4). 453–460. 15 indexed citations
18.
Li, Peiyao, Hongbo Yan, Hong‐Xing Zhang, et al.. (2013). A Functional Polymorphism in MIR196A2 Is Associated with Risk and Progression of Nasopharyngeal Carcinoma in the Chinese Population. Genetic Testing and Molecular Biomarkers. 18(3). 149–155. 10 indexed citations
19.
Ma, Fuchao, Hongxing Zhang, Yun Zhai, et al.. (2011). Functional Polymorphism -31C/G in the Promoter of BIRC5 Gene and Risk of Nasopharyngeal Carcinoma among Chinese. PLoS ONE. 6(2). e16748–e16748. 35 indexed citations
20.
Zhang, Yang, Hongxing Zhang, Yun Zhai, et al.. (2011). A functional tandem-repeats polymorphism in the downstream of TERTis associated with the risk of nasopharyngeal carcinoma in Chinese population. BMC Medicine. 9(1). 106–106. 27 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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