Na‐Na Guan

1.1k citations
14 papers · 909 indexed · 1 hit paper · h-index 9
Topics
MicroRNA in disease regulation (7 papers)Cancer-related molecular mechanisms research (6 papers)High-Energy Particle Collisions Research (4 papers)
Partner nations
ChinaTaiwan

In The Last Decade

Na‐Na Guan

13 papers receiving 901 citations

Hit Papers

Predicting miRNA–disease association based on inductive m...20182026202020232018100200300400

Peers

Na‐Na Guan
Comparison fields: 5 of 71
  • Molecular Biology 785
  • Cancer Research 592
  • Computational Theory and Mathematics 199
  • Materials Chemistry 41
  • Pulmonary and Respiratory Medicine 28
Replace Ming-Xi Liu with:
Ming-Xi Liu China
Haixiu Yang China
Guofei Ren China
Yajie Meng China
Chun-Chun Wang China
Xing-Ming Zhao China
Zhaorong Li China
Leon Wong China
Zuping Zhang China
Ka‐Lok Ng Taiwan
Na‐Na Guan relative to Ming-Xi Liu China Ming-Xi Liu's profile →
Citations per field
00.5×1.6×
Ming-Xi Liu · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 65
2 8
3 17
4 44
5 26
6 33
7 147
8 135
9
Predicting miRNA–disease association based on inductive matrix completionbreakdown →
404
10 22
11 2
12 0
13 4
14 2

About Na‐Na Guan

Na‐Na Guan is a scholar working on Cancer Research, Nuclear and High Energy Physics and Molecular Biology, having authored 14 papers that have together received 909 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and High-Energy Particle Collisions Research (4 papers). The work is most often cited by research in Cancer Research (592 citations), Computational Theory and Mathematics (199 citations) and Molecular Biology (785 citations). Na‐Na Guan has collaborated with scholars based in China and Taiwan. Frequent 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. Their work appears in journals such as Bioinformatics, Frontiers in Pharmacology and Frontiers in Physiology.

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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