Guofeng Shao

806 total citations
31 papers, 582 citations indexed

About

Guofeng Shao is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guofeng Shao has authored 31 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guofeng Shao's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (8 papers). Guofeng Shao is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (8 papers). Guofeng Shao collaborates with scholars based in China. Guofeng Shao's co-authors include Lebo Sun, Dawei Zheng, Linwen Zhu, Ni Li, Guodong Xu, Li Ni, Qingyun Zhou, Ni Li, Jianqing Gao and Qiaoling Pan and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Guofeng Shao

31 papers receiving 569 citations

Peers

Guofeng Shao

PRM

CCM

IMMUN

Dawei Zheng China

Lebo Sun China

Giuseppina Federico Germany

Xinyi Zhang China

Tara L. Sander United States

Jun‐Hyuk Choi South Korea

Sudha Talwar United States

Ziba Nariman‐Saleh‐Fam Iran

Abdolreza Daraei Iran

Zhuo Gao China

Dawei Zheng China

Guofeng Shao

462 ×1.1

225 ×1.0

99 ×1.6

PRM

61 ×1.0

CCM

35 ×0.7

IMMUN

Citations per year, relative to Guofeng Shao Guofeng Shao (= 1×) peers Dawei Zheng

Countries citing papers authored by Guofeng Shao

Since Specialization

Citations

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

Fields of papers citing papers by Guofeng Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guofeng Shao

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

All Works

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20 of 20 papers shown

Wang, Zilin, et al.. (2024). Epigenetic regulation in adult neural stem cells. Frontiers in Cell and Developmental Biology. 12. 1331074–1331074. 6 indexed citations

Zhu, Linwen, et al.. (2024). Genetic causal association between lipidomic profiles, inflammatory proteomics, and aortic stenosis: a Mendelian randomization investigation. European journal of medical research. 29(1). 446–446. 2 indexed citations

Wu, Jiacheng, Ni Li, Linwen Zhu, et al.. (2022). Multiple roles of apolipoprotein B mRNA editing enzyme catalytic subunit 3B (APOBEC3B) in human tumors: a pan-cancer analysis. BMC Bioinformatics. 23(1). 312–312. 5 indexed citations

Xu, Guodong, Hang Chen, Jiabin Chen, et al.. (2022). Eukaryotic initiation factor 5A2 mediates hypoxia-induced autophagy and cisplatin resistance. Cell Death and Disease. 13(8). 683–683. 21 indexed citations

Zhu, Linwen, et al.. (2022). The diagnostic value of has_circ_0006423 in non-small cell lung cancer and its role as a tumor suppressor gene that sponges miR-492. Scientific Reports. 12(1). 13722–13722. 5 indexed citations

Chen, Yuxiao, Jie Ding, Xuan Zhang, et al.. (2021). Identification and Functional Prediction of Long Non-Coding RNAs in Dilated Cardiomyopathy by Bioinformatics Analysis. Frontiers in Genetics. 12. 648111–648111. 16 indexed citations

Ni, Li, Linwen Zhu, Lebo Sun, & Guofeng Shao. (2021). The effects of novel coronavirus (SARS-CoV-2) infection on cardiovascular diseases and cardiopulmonary injuries. Stem Cell Research. 51. 102168–102168. 19 indexed citations

Zhu, Linwen, Li Ni, Lebo Sun, Dawei Zheng, & Guofeng Shao. (2020). Non-coding RNAs: The key detectors and regulators in cardiovascular disease. Genomics. 113(1). 1233–1246. 68 indexed citations

Li, Ni, Linwen Zhu, Hua Zhou, et al.. (2020). miRNA-1183-targeted regulation of Bcl-2 contributes to the pathogenesis of rheumatic heart disease. Bioscience Reports. 40(11). 7 indexed citations

10.

Pan, Qiaoling, Lebo Sun, Dawei Zheng, et al.. (2018). MicroRNA-9 Enhanced Cisplatin Sensitivity in Nonsmall Cell Lung Cancer Cells by Regulating Eukaryotic Translation Initiation Factor 5A2. BioMed Research International. 2018. 1–8. 20 indexed citations

11.

Zheng, Dawei, Xiaoying Chen, Ni Li, et al.. (2017). Differentially methylated regions in patients with rheumatic heart disease and secondary pulmonary arterial hypertension. Experimental and Therapeutic Medicine. 14(2). 1367–1372. 10 indexed citations

12.

Li, Ni, Jiangfang Lian, Sheng Zhao, et al.. (2015). Detection of Differentially Expressed MicroRNAs in Rheumatic Heart Disease: miR-1183 and miR-1299 as Potential Diagnostic Biomarkers. BioMed Research International. 2015. 1–11. 34 indexed citations

13.

Xu, Guodong, Hui Yu, Lebo Sun, et al.. (2014). Cisplatin sensitivity is enhanced in non-small cell lung cancer cells by regulating epithelial-mesenchymal transition through inhibition of eukaryotic translation initiation factor 5A2. BMC Pulmonary Medicine. 14(1). 174–174. 43 indexed citations

14.

Zheng, Dawei, Limin Xu, Lebo Sun, et al.. (2014). Comparison of the Ventricle Muscle Proteome between Patients with Rheumatic Heart Disease and Controls with Mitral Valve Prolapse: HSP 60 May Be a Specific Protein in RHD. BioMed Research International. 2014. 1–9. 8 indexed citations

15.

Xu, Limin, Dawei Zheng, Lingyan Wang, et al.. (2014). GCKGene-Body Hypomethylation Is Associated with the Risk of Coronary Heart Disease. BioMed Research International. 2014. 1–7. 31 indexed citations

16.

Jiang, Danjie, Dawei Zheng, Lingyan Wang, et al.. (2013). Elevated PLA2G7 Gene Promoter Methylation as a Gender-Specific Marker of Aging Increases the Risk of Coronary Heart Disease in Females. PLoS ONE. 8(3). e59752–e59752. 72 indexed citations

17.

Li, Ni, Li‐Hua Peng, Xi Chen, et al.. (2013). Antigen-loaded nanocarriers enhance the migration of stimulated Langerhans cells to draining lymph nodes and induce effective transcutaneous immunization. Nanomedicine Nanotechnology Biology and Medicine. 10(1). 215–223. 41 indexed citations

18.

Xu, Guodong, et al.. (2013). Down-regulation of eIF5A-2 prevents epithelial-mesenchymal transition in non-small-cell lung cancer cells. Journal of Zhejiang University SCIENCE B. 14(6). 460–467. 19 indexed citations

19.

Xu, Guodong, et al.. (2013). An unusual case of metastasis of a pulmonary undifferentiated pleomorphic sarcoma to the right ventricle: a case report. Journal of Medical Case Reports. 7(1). 165–165. 6 indexed citations

20.

Zheng, Dawei, Guofeng Shao, Qiang Feng, & Yiming Ni. (2013). Long-term outcome of correction of tetralogy of Fallot in 56 adult patients. Chinese Medical Journal. 126(19). 3675–3679. 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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