Fengsheng Dai

488 total citations
11 papers, 182 citations indexed

About

Fengsheng Dai is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fengsheng Dai has authored 11 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fengsheng Dai's work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). Fengsheng Dai is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers) and RNA modifications and cancer (2 papers). Fengsheng Dai collaborates with scholars based in China and Australia. Fengsheng Dai's co-authors include Yongyan Wu, Wei Gao, Xiwang Zheng, Yujia Guo, Changming An, Yan Lü, Huizheng Li, Linshi Zhang, Li Dai and Tingxiu Xiang and has published in prestigious journals such as Scientific Reports, Biomedicine & Pharmacotherapy and Cellular Signalling.

In The Last Decade

Fengsheng Dai

11 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengsheng Dai China 6 133 101 31 27 25 11 182
Sophia A. Wild United States 5 151 1.1× 89 0.9× 27 0.9× 19 0.7× 16 0.6× 5 182
Kun Meng China 7 241 1.8× 146 1.4× 21 0.7× 12 0.4× 22 0.9× 10 277
Wan-Ying Hsieh United States 3 139 1.0× 58 0.6× 24 0.8× 12 0.4× 8 0.3× 3 162
Sonia Fernández‐Ruiz Spain 5 111 0.8× 61 0.6× 40 1.3× 8 0.3× 28 1.1× 6 167
Carmen Herranz Spain 5 76 0.6× 31 0.3× 26 0.8× 15 0.6× 18 0.7× 7 146
Jianong Zhang China 8 101 0.8× 50 0.5× 37 1.2× 15 0.6× 29 1.2× 10 140
Alessia Mira Italy 5 86 0.6× 30 0.3× 43 1.4× 18 0.7× 11 0.4× 10 126
Oscar Pellón-Cárdenas United States 9 78 0.6× 39 0.4× 41 1.3× 13 0.5× 9 0.4× 9 139

Countries citing papers authored by Fengsheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Fengsheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengsheng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Fengsheng Dai. A scholar is included among the top collaborators of Fengsheng Dai 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 Fengsheng Dai. Fengsheng Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Dai, Fengsheng, et al.. (2025). Prognostic value of the pretreatment Naples prognostic score in gastrointestinal cancer patients: an updated meta-analysis with 28 studies. Systematic Reviews. 14(1). 191–191. 1 indexed citations
2.
Li, Yang, Le Xin, Fengsheng Dai, et al.. (2024). The novel DNA methylation marker FIBIN suppresses non-small cell lung cancer metastasis by negatively regulating ANXA2. Cellular Signalling. 120. 111197–111197. 2 indexed citations
4.
Sun, Ran, Jin He, Xiang Qin, et al.. (2023). NTF4 plays a dual role in breast cancer in mammary tumorigenesis and metastatic progression. International Journal of Biological Sciences. 19(2). 641–657. 4 indexed citations
5.
Dai, Fengsheng, Yixiao Yuan, Jiaqi Hao, et al.. (2023). PDCD2 as a prognostic biomarker in glioma correlates with malignant phenotype. Genes & Diseases. 11(5). 101106–101106. 4 indexed citations
6.
Xin, Le, Jun Tang, Fengsheng Dai, et al.. (2022). KLF15 suppresses tumor growth and metastasis in Triple-Negative Breast Cancer by downregulating CCL2 and CCL7. Scientific Reports. 12(1). 19026–19026. 13 indexed citations
7.
Huang, Jiefeng, Jie Li, Jun Tang, et al.. (2022). ZDHHC22-mediated mTOR palmitoylation restrains breast cancer growth and endocrine therapy resistance. International Journal of Biological Sciences. 18(7). 2833–2850. 40 indexed citations
8.
Wu, Yongyan, Fengsheng Dai, Yuliang Zhang, et al.. (2021). miR-1207-5p suppresses laryngeal squamous cell carcinoma progression by downregulating SKA3 and inhibiting epithelial-mesenchymal transition. Molecular Therapy — Oncolytics. 22. 152–165. 9 indexed citations
9.
Dai, Fengsheng, Yongyan Wu, Yan Lü, et al.. (2020). Crosstalk between RNA m6A Modification and Non-coding RNA Contributes to Cancer Growth and Progression. Molecular Therapy — Nucleic Acids. 22. 62–71. 64 indexed citations
10.
Dai, Fengsheng, Li Dai, Xiwang Zheng, et al.. (2020). Non-coding RNAs in drug resistance of head and neck cancers: A review. Biomedicine & Pharmacotherapy. 127. 110231–110231. 25 indexed citations
11.
Cui, Jiajia, Yuliang Zhang, Min Niu, et al.. (2019). Mass spectrometry‐based proteomic analysis of FSCN1‐interacting proteins in laryngeal squamous cell carcinoma cells. IUBMB Life. 71(11). 1771–1784. 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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