Na‐Na Guan

1.1k total citations · 1 hit paper
14 papers, 909 citations indexed

About

Na‐Na Guan is a scholar working on Molecular Biology, Cancer Research and Nuclear and High Energy Physics. According to data from OpenAlex, Na‐Na Guan has authored 14 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Nuclear and High Energy Physics. Recurrent topics in Na‐Na Guan's work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and High-Energy Particle Collisions Research (4 papers). Na‐Na Guan is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and High-Energy Particle Collisions Research (4 papers). Na‐Na Guan collaborates with scholars based in China and Taiwan. Na‐Na Guan's co-authors include Jianqiang Li, Xing Chen, Jia Qu, Lei Wang, Yazhou Sun, Xing Chen, Zhi-An Huang, Zexuan Zhu, Yan Zhao and Chun-Chun Wang and has published in prestigious journals such as Bioinformatics, Frontiers in Pharmacology and Frontiers in Physiology.

In The Last Decade

Na‐Na Guan

13 papers receiving 901 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting miRNA–disease association based on inductive matrix completion

2018 404 citations Xing Chen, Lei Wang et al. Bioinformatics profile →

Peers

Na‐Na Guan

MB

CR

CTM

MC

PRM

Ming-Xi Liu China

Chun-Chun Wang China

Haixiu Yang China

Guofei Ren China

Leon Wong China

Yajie Meng China

Xing-Ming Zhao China

Zhaorong Li China

Zuping Zhang China

Zhixia Teng China

Ming-Xi Liu China

Na‐Na Guan

947 ×1.2

MB

542 ×0.9

CR

356 ×1.8

CTM

66 ×1.6

MC

31 ×1.1

PRM

Citations per year, relative to Na‐Na Guan Na‐Na Guan (= 1×) peers Ming-Xi Liu

Countries citing papers authored by Na‐Na Guan

Since Specialization

Citations

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

Fields of papers citing papers by Na‐Na Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Na‐Na Guan. 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 Na‐Na Guan. The network helps show where Na‐Na Guan may publish in the future.

Co-authorship network of co-authors of Na‐Na Guan

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

All Works

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14 of 14 papers shown

1.

Guan, Na‐Na, et al.. (2019). Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization. Molecular Therapy — Nucleic Acids. 17. 164–174. 65 indexed citations

2.

Guan, Na‐Na, et al.. (2019). In silico prediction of potential miRNA‐disease association using an integrative bioinformatics approach based on kernel fusion. Journal of Cellular and Molecular Medicine. 24(1). 573–587. 8 indexed citations

3.

Peng, Lihong, et al.. (2018). HNMDA: heterogeneous network-based miRNA–disease association prediction. Molecular Genetics and Genomics. 293(4). 983–995. 17 indexed citations

4.

Guan, Na‐Na, Yazhou Sun, Zhong Ming, Jianqiang Li, & Xing Chen. (2018). Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet Interaction. Frontiers in Pharmacology. 9. 1152–1152. 44 indexed citations

5.

Chen, Xing, Jingru Yang, Na‐Na Guan, & Jianqiang Li. (2018). GRMDA: Graph Regression for MiRNA-Disease Association Prediction. Frontiers in Physiology. 9. 92–92. 26 indexed citations

6.

Zhang, Lin, Xing Chen, Na‐Na Guan, Hui Liu, & Jianqiang Li. (2018). A Hybrid Interpolation Weighted Collaborative Filtering Method for Anti-cancer Drug Response Prediction. Frontiers in Pharmacology. 9. 1017–1017. 33 indexed citations

7.

Chen, Xing, Na‐Na Guan, Yazhou Sun, Jianqiang Li, & Jia Qu. (2018). MicroRNA-small molecule association identification: from experimental results to computational models. Briefings in Bioinformatics. 21(1). 47–61. 147 indexed citations

8.

Chen, Xing, Yazhou Sun, Na‐Na Guan, et al.. (2018). Computational models for lncRNA function prediction and functional similarity calculation. Briefings in Functional Genomics. 18(1). 58–82. 135 indexed citations

9.

Chen, Xing, Lei Wang, Jia Qu, Na‐Na Guan, & Jianqiang Li. (2018). Predicting miRNA–disease association based on inductive matrix completion. Bioinformatics. 34(24). 4256–4265. 404 indexed citations breakdown →

10.

Chen, Xing, Na‐Na Guan, Jianqiang Li, & Guiying Yan. (2017). GIMDA: Graphlet interaction‐based MiRNA‐disease association prediction. Journal of Cellular and Molecular Medicine. 22(3). 1548–1561. 22 indexed citations

11.

Yuan, Ying & Na‐Na Guan. (2014). Nuclear Stopping in Central Au+Au Collisions at RHIC Energies. Advances in High Energy Physics. 2014. 1–4. 2 indexed citations

12.

Guan, Na‐Na, et al.. (2013). The shear viscosity of a chemically equilibrating quark-gluon plasma at finite baryon density. Europhysics Letters (EPL). 103(5). 52001–52001.

13.

Guan, Na‐Na, et al.. (2009). Viscosity and dilepton production of a chemically equilibrating quark-gluon plasma at finite baryon density. Physical Review C. 80(1). 4 indexed citations

14.

G., Y., et al.. (2008). Photons from Quark and Hadron Phases in Au + Au Collisions. Chinese Physics Letters. 25(9). 3188–3191. 2 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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