Mu‐Nung Hsu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 11
- Viral Infectious Diseases and Gene Expression in Insects 6
- Pluripotent Stem Cells Research 5
- RNA Interference and Gene Delivery 2
- Genetics 6
- Animal Genetics and Reproduction 3
- Mesenchymal stem cell research 3
- Virus-based gene therapy research 2
- Co-authors
- Yu‐Chen Hu (14 shared papers)Vu Anh Truong (9 shared papers)Mei‐Wei Lin (8 shared papers)Yu‐Han Chang (8 shared papers)Chih‐Che Shen (7 shared papers)Po‐Liang Lai (3 shared papers)Kuei‐Chang Li (3 shared papers)Yelena Parfyonova (4 shared papers)
- Journals
- Biomaterials (4 papers)Nucleic Acids Research (3 papers)Molecular Therapy (2 papers)Theranostics (2 papers)Scientific Reports (1 paper)
- Partner nations
- TaiwanRussiaUnited States
In The Last Decade
Mu‐Nung Hsu
17 papers receiving 646 citations
Peers
Comparison fields: 5 of 71
- Business and International Management 24
- Genetics 79
- Aging 14
- Molecular Biology 432
- Biomaterials 55
Countries citing papers authored by Mu‐Nung Hsu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2019 | 59 | |
| 3 | 2018 | 59 | |
| 4 | 2019 | 58 | |
| 5 | 2019 | 55 | |
| 6 | 2018 | 55 | |
| 7 | 2020 | 49 | |
| 8 | 2017 | 45 | |
| 9 | 2017 | 41 | |
| 10 | 2021 | 38 | |
| 11 | 2019 | 28 | |
| 12 | 2017 | 27 | |
| 13 | 2018 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2021 | 11 | |
| 16 | 1978 | 5 | |
| 17 | 2021 | 3 |
About Mu‐Nung Hsu
Mu‐Nung Hsu is a scholar working on Molecular Biology, Genetics, Genetics, Biomedical Engineering and Surgery, having authored 17 papers that have together received 647 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Pluripotent Stem Cells Research (5 papers), Animal Genetics and Reproduction (3 papers), Mesenchymal stem cell research (3 papers), RNA Interference and Gene Delivery (2 papers), Virus-based gene therapy research (2 papers) and Bone Tissue Engineering Materials (1 paper). The work is most often cited by research in Business and International Management (24 citations), Genetics (79 citations), Aging (14 citations), Molecular Biology (432 citations) and Biomaterials (55 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, Mei‐Wei Lin, Yu‐Han Chang, Chih‐Che Shen, Po‐Liang Lai, Kuei‐Chang Li, Yelena Parfyonova, П. И. Макаревич and Jih Ru Hwu. Their work appears in journals such as Biomaterials, Nucleic Acids Research, Molecular Therapy, Theranostics and Scientific Reports.
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.