Jong‐Kai Hsiao

5k citations
91 papers · 4.3k · h-index 32

Impact in

  • Biomaterials top 0.5%
    • Nanoparticle-Based Drug Delivery
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Mesenchymal stem cell research 15
    • Characterization and Applications of Magnetic Nanoparticles 22
    • Nanoplatforms for cancer theranostics 10

Jong‐Kai Hsiao

89 papers receiving 4.2k citations

Peers

Jong‐Kai Hsiao
Comparison fields: 5 of 110
  • Biomaterials 939
  • Genetics 420
  • Biomedical Engineering 1.6k
  • Materials Chemistry 1.5k
  • Drug Discovery 5
Replace Michelle S. Bradbury with:
Michelle S. Bradbury United States
Sarah P. Sherlock United States
Charles J. Gomer United States
Zdravka O. Medarova United States
Nathalie Luciani France
Rachela Popovtzer Israel
Thomas R. Pisanic United States
Xiankai Sun United States
Jun Zhao China
Qingguo Xu United States
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Citations per field
00.5×1.5×1.8×
Michelle S. Bradbury · 1×
Citations per year

Countries citing papers authored by Jong‐Kai Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Kai Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Kai Hsiao. 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 Jong‐Kai Hsiao. The network helps show where Jong‐Kai Hsiao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006445
2 2011429
3 2009308
4 2008216
5 2008191
6 2008180
7 2010153
8 2009130
9 2011127
10 2008122
11 2007112
12 2016112
13 200884
14 201079
15 201876
16 200973
17 200761
18 201061
19 201359
20 201155

About Jong‐Kai Hsiao

Jong‐Kai Hsiao is a scholar working on Genetics, Biomedical Engineering, Biomaterials, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 91 papers that have together received 4.3k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (22 papers), Mesenchymal stem cell research (15 papers), Nanoparticle-Based Drug Delivery (14 papers), Nanoplatforms for cancer theranostics (10 papers), Lanthanide and Transition Metal Complexes (8 papers), Advanced MRI Techniques and Applications (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Biomaterials (939 citations), Genetics (420 citations), Biomedical Engineering (1.6k citations), Materials Chemistry (1.5k citations) and Drug Discovery (5 citations). Jong‐Kai Hsiao has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hon‐Man Liu, Dongming Huang, Ming Yao, Pi-Tai Peter Chou, Yann Hung, Chung‐Yuan Mou, Chen‐Wen Lu, Chung‐Shi Yang, Szu-Chun Hsu and Yao‐Chang Chen. Their work appears in journals such as Small, Biomaterials, Scientific Reports, Pharmaceutics and ACS Nano.

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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