Ying-Fon Chang

1.3k citations
10 papers · 1.0k indexed · h-index 9
Topics
Advanced biosensing and bioanalysis techniques (7 papers)RNA Interference and Gene Delivery (5 papers)Cell Adhesion Molecules Research (4 papers)
Partner nations
United StatesAustralia

In The Last Decade

Ying-Fon Chang

10 papers receiving 967 citations

Peers

Ying-Fon Chang
Comparison fields: 5 of 69
  • Molecular Biology 922
  • Biomedical Engineering 220
  • Radiology, Nuclear Medicine and Imaging 150
  • Immunology and Allergy 83
  • Ecology 76
Replace Judith M. Healy with:
Judith M. Healy Japan
Carol Bell United States
Andrea Koenig United States
Judy Ruckman United States
John Steven United Kingdom
Juliana M. Layzer United States
Yun Lin China
Bethany Powell Gray United States
Justin P. Dassie United States
Allan Tobi Estonia
Ying-Fon Chang relative to Judith M. Healy Japan Judith M. Healy's profile →
Citations per field
00.5×1.5×
Judith M. Healy · 1×
Citations per year

Countries citing papers authored by Ying-Fon Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Fon Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Fon 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 Ying-Fon Chang. The network helps show where Ying-Fon Chang may publish in the future.

Co-authorship network of co-authors of Ying-Fon Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Fon Chang. A scholar is included among the top collaborators of Ying-Fon 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 Ying-Fon Chang. Ying-Fon Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Tumor targeting by an aptamer.
295
2 257
3 67
4 13
5 28
6 162
7 110
8 87
9 6
10 15

About Ying-Fon Chang

Ying-Fon Chang is a scholar working on Immunology and Allergy, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (5 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology and Allergy (83 citations), Molecular Biology (922 citations) and Radiology, Nuclear Medicine and Imaging (150 citations). Ying-Fon Chang has collaborated with scholars based in United States and Australia. Frequent co-authors include Brian J. Hicke, David H Parma, Paul G. Schmidt, Ty Gould, Susan Jennings, Tim Fitzwater, C. Marion, S. Warren, Andrew Stephens and Sandra Borkowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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