Shiaw‐Min Hwang

3.4k citations
82 papers · 2.7k indexed · h-index 35
  • Genetics top 1%
    • Mesenchymal stem cell research 30
    • Electrospun Nanofibers in Biomedical Applications 17
  • Surgery top 5%
    • Tissue Engineering and Regenerative Medicine 24
    • Pluripotent Stem Cells Research 17
    • Viral Infectious Diseases and Gene Expression in Insects 15
    • CRISPR and Genetic Engineering 8
  • Urology top 5%
    • 3D Printing in Biomedical Research 8
    • Hematopoietic Stem Cell Transplantation 7

Shiaw‐Min Hwang

82 papers receiving 2.7k citations

Peers

Shiaw‐Min Hwang
Comparison fields: 5 of 125
  • Genetics 959
  • Biomaterials 575
  • Surgery 1.0k
  • Molecular Biology 1.2k
  • Urology 108
Replace Michela Pozzobon with:
Michela Pozzobon Italy
Pedro César Chagastelles Brazil
Yu‐Ru V. Shih United States
Jack M. Milwid United States
Alexandra Peister United States
Toshio Miki United States
Peishun Shou China
Reza Izadpanah United States
Nikolay Bazhanov United States
Grant Hoyt United States
Shiaw‐Min Hwang relative to Michela Pozzobon Italy Michela Pozzobon's profile →
Citations per field
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Michela Pozzobon · 1×
Citations per year

Countries citing papers authored by Shiaw‐Min Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Shiaw‐Min Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiaw‐Min Hwang. 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 Shiaw‐Min Hwang. The network helps show where Shiaw‐Min Hwang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201953
2 201522
3 20158
4 2014114
5 201410
6 201416
7 201329
8 201313
9 20123
10 201235
11 20123
12 201261
13 201047
14 200941
15 200955
16 200741
17 200726
18 200646
19 200563
20 2005191

About Shiaw‐Min Hwang

Shiaw‐Min Hwang is a scholar working on Genetics, Biomaterials and Hematology, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (30 papers), Tissue Engineering and Regenerative Medicine (24 papers), Pluripotent Stem Cells Research (17 papers), Electrospun Nanofibers in Biomedical Applications (17 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), CRISPR and Genetic Engineering (8 papers), 3D Printing in Biomedical Research (8 papers) and Hematopoietic Stem Cell Transplantation (7 papers). The work is most often cited by research in Genetics (959 citations), Biomaterials (575 citations) and Surgery (1.0k citations). Shiaw‐Min Hwang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsing‐Wen Sung, Yen Chang, I‐Ming Chu, Chao‐Ling Yao, Yu‐Chen Hu, Wei-Wen Lin, Ming‐Song Tsai, Fu‐Chou Cheng, Chi‐Hsien Liu and Tzu‐Bou Hsieh. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Biomaterials.

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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