Enyu Dai

908 total citations
20 papers, 651 citations indexed

About

Enyu Dai is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Enyu Dai has authored 20 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Enyu Dai's work include MicroRNA in disease regulation (8 papers), Bioinformatics and Genomic Networks (6 papers) and Cancer-related molecular mechanisms research (5 papers). Enyu Dai is often cited by papers focused on MicroRNA in disease regulation (8 papers), Bioinformatics and Genomic Networks (6 papers) and Cancer-related molecular mechanisms research (5 papers). Enyu Dai collaborates with scholars based in China, Canada and Japan. Enyu Dai's co-authors include Wei Jiang, Shuyuan Wang, Xuexin Yu, Fanlin Meng, Xia Li, Yan Zhang, Xinyi Liu, Xiaowen Chen, Feng Yang and Xinyi Liu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Enyu Dai

20 papers receiving 639 citations

Peers

Enyu Dai

CTM

EPIDE

Xueyan Ma China

Geetika Sethi United States

Octavio Galindo‐Hernández Mexico

Yunhong Yin China

Min Sha China

Miguel Angel García-Campos Israel

Alessandra Lo Sardo Italy

Sai Mukund Ramakrishnan United States

Ally Perlina United States

Angelo Limeta Sweden

Xueyan Ma China

Enyu Dai

532 ×1.0

340 ×0.8

23 ×0.3

CTM

12 ×0.4

39 ×1.3

EPIDE

Citations per year, relative to Enyu Dai Enyu Dai (= 1×) peers Xueyan Ma

Countries citing papers authored by Enyu Dai

Since Specialization

Citations

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

Fields of papers citing papers by Enyu Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enyu Dai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dai, Enyu, et al.. (2024). Oropharyngeal microbiome profiling and its association with age and heart failure in the elderly population from the northernmost province of China. Microbiology Spectrum. 12(10). e0021624–e0021624. 2 indexed citations

Zhou, Xu, Enyu Dai, Qian Song, et al.. (2019). In silico drug repositioning based on drug-miRNA associations. Briefings in Bioinformatics. 21(2). 498–510. 25 indexed citations

Dai, Enyu, Hao Zhang, Xu Zhou, et al.. (2019). MycoResistance: a curated resource of drug resistance molecules in Mycobacteria. Database. 2019. 7 indexed citations

Cui, Jiayi, Hongwei Liang, Di Li, et al.. (2017). Characterization of a novel panel of plasma microRNAs that discriminates between Mycobacterium tuberculosis infection and healthy individuals. PLoS ONE. 12(9). e0184113–e0184113. 47 indexed citations

Yang, Qian, Shuyuan Wang, Enyu Dai, et al.. (2017). Pathway enrichment analysis approach based on topological structure and updated annotation of pathway. Briefings in Bioinformatics. 20(1). 168–177. 34 indexed citations

Dai, Enyu, Jing Wang, Xu Zhou, et al.. (2017). Accurate prediction and elucidation of drug resistance based on the robust and reproducible chemoresponse communities. International Journal of Cancer. 142(7). 1427–1439. 3 indexed citations

Dai, Enyu, Feng Yang, Xu Zhou, et al.. (2017). ncDR: a comprehensive resource of non-coding RNAs involved in drug resistance. Bioinformatics. 33(24). 4010–4011. 57 indexed citations

Liu, Xinyi, Shuyuan Wang, Xuexin Yu, et al.. (2016). Dissecting the Origin of Breast Cancer Subtype Stem Cell and the Potential Mechanism of Malignant Transformation. PLoS ONE. 11(10). e0165001–e0165001. 10 indexed citations

Chen, Xiaowen, Hongbo Shi, Lei Yang, et al.. (2016). Large-scale identification of adverse drug reaction-related proteins through a random walk model. Scientific Reports. 6(1). 36325–36325. 11 indexed citations

10.

Meng, Fanlin, Jing Wang, Enyu Dai, et al.. (2016). Psmir: a database of potential associations between small molecules and miRNAs. Scientific Reports. 6(1). 19264–19264. 20 indexed citations

11.

Wang, Jing, Fanlin Meng, Enyu Dai, et al.. (2016). Identification of associations between small molecule drugs and miRNAs based on functional similarity. Oncotarget. 7(25). 38658–38669. 31 indexed citations

12.

Yu, Xuexin, Shuyuan Wang, Enyu Dai, et al.. (2016). The gain and loss of long noncoding RNA associated-competing endogenous RNAs in prostate cancer. Oncotarget. 7(35). 57228–57238. 37 indexed citations

13.

Zhang, Yan, Lihong Wang, Shuyuan Wang, et al.. (2015). Integrated systems approach identifies risk regulatory pathways and key regulators in coronary artery disease. Journal of Molecular Medicine. 93(12). 1381–1390. 10 indexed citations

14.

Wang, Shuyuan, Wei Li, Baofeng Lian, et al.. (2015). TMREC: A Database of Transcription Factor and MiRNA Regulatory Cascades in Human Diseases. PLoS ONE. 10(5). e0125222–e0125222. 19 indexed citations

15.

Yu, Xuexin, Baofeng Lian, Lihong Wang, et al.. (2014). The pan-cancer analysis of gene expression patterns in the context of inflammation. Molecular BioSystems. 10(9). 2270–2276. 9 indexed citations

16.

Dai, Enyu, Xuexin Yu, Yan Zhang, et al.. (2014). EpimiR: a database of curated mutual regulation between miRNAs and epigenetic modifications. Database. 2014. bau023–bau023. 52 indexed citations

17.

Li, Di, Jiayi Cui, Chie Nakajima, et al.. (2014). Dominant modern sublineages and a new modern sublineage of Mycobacterium tuberculosis Beijing family clinical isolates in Heilongjiang Province, China. Infection Genetics and Evolution. 27. 294–299. 9 indexed citations

18.

Meng, Fanlin, Enyu Dai, Xuexin Yu, et al.. (2013). Constructing and characterizing a bioactive small molecule and microRNA association network for Alzheimer's disease. Journal of The Royal Society Interface. 11(92). 20131057–20131057. 42 indexed citations

19.

Jiang, Wei, Yan Zhang, Fanlin Meng, et al.. (2013). Identification of active transcription factor and miRNA regulatory pathways in Alzheimer’s disease. Bioinformatics. 29(20). 2596–2602. 54 indexed citations

20.

Liu, Xinyi, Shuyuan Wang, Fanlin Meng, et al.. (2012). SM2miR: a database of the experimentally validated small molecules’ effects on microRNA expression. Bioinformatics. 29(3). 409–411. 172 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.

Explore authors with similar magnitude of impact