Fu‐Hsiung Chang

1.4k citations
28 papers · 1.2k indexed · h-index 16
Topics
RNA Interference and Gene Delivery (7 papers)Advanced biosensing and bioanalysis techniques (6 papers)Nanoparticle-Based Drug Delivery (6 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Fu‐Hsiung Chang

28 papers receiving 1.1k citations

Peers

Fu‐Hsiung Chang
Comparison fields: 5 of 107
  • Molecular Biology 508
  • Biomedical Engineering 350
  • Biomaterials 320
  • Materials Chemistry 265
  • Cellular and Molecular Neuroscience 126
Replace Andreas Wunder with:
Andreas Wunder Germany
Isabel J. Hildebrandt United States
Chung‐Shi Yang Taiwan
Anjali Sharma United States
Adela C. Bonoiu United States
Lihong Bu China
Bogusław Szczupak Spain
Xuyi Yue United States
Gene T. Yocum United States
Toral Patel United States
Fu‐Hsiung Chang relative to Andreas Wunder Germany Andreas Wunder's profile →
Citations per field
00.5×1.5×2.2×
Andreas Wunder · 1×
Citations per year

Countries citing papers authored by Fu‐Hsiung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Hsiung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Hsiung Chang. 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 Fu‐Hsiung Chang. The network helps show where Fu‐Hsiung Chang may publish in the future.

Co-authorship network of co-authors of Fu‐Hsiung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu‐Hsiung Chang. A scholar is included among the top collaborators of Fu‐Hsiung Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fu‐Hsiung Chang. Fu‐Hsiung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 7
3 49
4 105
5 50
6 60
7 19
8 35
9 5
10 45
11 33
12 11
13 76
14 10
15 45
16 21
17 4
18 5
19 52
20 78

About Fu‐Hsiung Chang

Fu‐Hsiung Chang is a scholar working on Biomaterials, Surfaces, Coatings and Films and Molecular Biology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Biomaterials (320 citations), Biomedical Engineering (350 citations) and Molecular Biology (508 citations). Fu‐Hsiung Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chao-Yu Chen, Chung‐Yuan Mou, Chih‐Pin Tsai, Yann Hung, Henry R. Bourne, Ivan Diamond, Adrienne S. Gordon, Laura W. Cheever, Mark Kim and Daria Mochly‐Rosen. Their work appears in journals such as Nature, Applied Physics Letters 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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