Mu‐Nung Hsu

722 citations
16 papers · 574 · h-index 13

Impact in

Papers in

    • CRISPR and Genetic Engineering 10
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • Pluripotent Stem Cells Research 4
    • RNA Interference and Gene Delivery 2
    • Animal Genetics and Reproduction 3
    • Mesenchymal stem cell research 3
    • Virus-based gene therapy research 2

Mu‐Nung Hsu

16 papers receiving 573 citations

Peers

Mu‐Nung Hsu
Comparison fields: 5 of 70
  • Business and International Management 25
  • Aging 14
  • Genetics 68
  • Molecular Biology 401
  • Biomaterials 48
Replace Hadi Bayat with:
Hadi Bayat Iran
Caining Wen China
Peng Shang China
Elif Karaca United States
Diana D. Kang United States
Merry Z. C. Ruan United States
Xiujuan Cai China
Anna Gutkin Israel
Rashad Mammadov Türkiye
Asun Monfort Switzerland
Mu‐Nung Hsu relative to Hadi Bayat Iran Hadi Bayat's profile →
Citations per field
00.5×1.5×2.1×
Hadi Bayat · 1×
Citations per year

Countries citing papers authored by Mu‐Nung Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Mu‐Nung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Nung Hsu. 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 Mu‐Nung Hsu. The network helps show where Mu‐Nung Hsu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mu‐Nung Hsu, 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 Mu‐Nung Hsu Line = papers co-authored together Mu‐Nung Hsu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201972
2 201859
3 201855
4 201955
5 201953
6 201745
7 202045
8 201741
9 202137
10 201928
11 201726
12 201820
13 201919
14 202111
15 19785
16 20213

About Mu‐Nung Hsu

Mu‐Nung Hsu is a scholar working on Molecular Biology, Genetics, Genetics, Biomedical Engineering and Surgery, having authored 16 papers that have together received 574 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Pluripotent Stem Cells Research (4 papers), Animal Genetics and Reproduction (3 papers), Mesenchymal stem cell research (3 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Business and International Management (25 citations), Aging (14 citations), Genetics (68 citations), Molecular Biology (401 citations) and Biomaterials (48 citations). Mu‐Nung Hsu has collaborated with scholars based in Taiwan, Russia and United States. Frequent co-authors include Yu‐Chen Hu, Vu Anh Truong, Yu‐Han Chang, Mei‐Wei Lin, Chih‐Che Shen, Po‐Liang Lai, Kuei‐Chang Li, Jih Ru Hwu, Shih‐Chun Lo and Shiaw‐Min Hwang. Their work appears in journals such as Biomaterials, Nucleic Acids Research, Molecular Therapy, Scientific Reports and Biotechnology and Bioengineering.

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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