Na Chai

1.2k citations
47 papers · 918 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • FOXO transcription factor regulation
    • RNA modifications and cancer
    • Glycosylation and Glycoproteins Research

Papers in

    • Gear and Bearing Dynamics Analysis 6
    • Extraction and Separation Processes 4
    • FOXO transcription factor regulation 3
    • Glycosylation and Glycoproteins Research 2

Na Chai

47 papers receiving 913 citations

Peers

Na Chai
Comparison fields: 5 of 115
  • Cancer Research 176
  • Molecular Biology 364
  • Control and Systems Engineering 126
  • Cell Biology 63
  • Oncology 90
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Citations per field
00.5×2.9×
Naoya Miyamoto · 1×
Citations per year

Countries citing papers authored by Na Chai

Since Specialization
Citations

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

Fields of papers citing papers by Na Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Na Chai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Na Chai Line = papers co-authored together Na Chai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011120
2 201887
3 201858
4 200857
5 201449
6 201245
7 201944
8 201043
9 201840
10 202340
11 201437
12 200836
13 201636
14 201722
15 202117
16 202314
17 202314
18 200812
19 202212
20 202311

About Na Chai

Na Chai is a scholar working on Mechanical Engineering, Molecular Biology, Control and Systems Engineering, Electrical and Electronic Engineering and Water Science and Technology, having authored 47 papers that have together received 918 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (8 papers), Gear and Bearing Dynamics Analysis (6 papers), Extraction and Separation Processes (4 papers), HVDC Systems and Fault Protection (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Fault Detection and Control Systems (3 papers), FOXO transcription factor regulation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (176 citations), Molecular Biology (364 citations), Control and Systems Engineering (126 citations), Cell Biology (63 citations) and Oncology (90 citations). Na Chai has collaborated with scholars based in China, Chile and Germany. Frequent co-authors include Kaichun Wu, Yongzhan Nie, Daiming Fan, Dianguo Xu, Ming Yang, Xiangqiang Liu, Lihui Gao, Haifeng Jin, Lina Zhao and Wei Hu. Their work appears in journals such as IEEE Transactions on Energy Conversion, BMC Cancer, Cancer Medicine, IEEE Transactions on Industrial Electronics and Minerals Engineering.

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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