Ying-Fon Chang

1.3k total citations
10 papers, 1.0k citations indexed

About

Ying-Fon Chang is a scholar working on Molecular Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying-Fon Chang has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Immunology and Allergy and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying-Fon Chang's work include Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (5 papers) and Cell Adhesion Molecules Research (4 papers). Ying-Fon Chang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (5 papers) and Cell Adhesion Molecules Research (4 papers). Ying-Fon Chang collaborates with scholars based in United States and Australia. Ying-Fon Chang's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ying-Fon Chang

10 papers receiving 967 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ying-Fon Chang United States	9	922	220	150	83	76	10	1.0k
Judith M. Healy Japan	7	749 0.8×	200 0.9×	119 0.8×	90 1.1×	67 0.9×	10	975
Carol Bell United States	11	1.1k 1.2×	259 1.2×	154 1.0×	43 0.5×	110 1.4×	15	1.3k
Andrea Koenig United States	8	549 0.6×	91 0.4×	95 0.6×	208 2.5×	20 0.3×	8	945
Judy Ruckman United States	9	733 0.8×	85 0.4×	85 0.6×	22 0.3×	81 1.1×	13	841
Bethany Powell Gray United States	9	457 0.5×	102 0.5×	141 0.9×	27 0.3×	47 0.6×	14	552
Yun Lin China	10	783 0.8×	204 0.9×	68 0.5×	12 0.1×	49 0.6×	20	893
Juliana M. Layzer United States	12	1.2k 1.3×	162 0.7×	69 0.5×	21 0.3×	50 0.7×	20	1.4k
Justin P. Dassie United States	9	1.0k 1.1×	155 0.7×	87 0.6×	14 0.2×	51 0.7×	12	1.1k
Mathieu Mével France	19	763 0.8×	87 0.4×	62 0.4×	17 0.2×	25 0.3×	30	935
Lieven Huang Belgium	8	703 0.8×	197 0.9×	742 4.9×	24 0.3×	48 0.6×	9	1.1k

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Hicke, Brian J., Andrew Stephens, Ty Gould, et al.. (2006). Tumor targeting by an aptamer.. PubMed. 47(4). 668–78. 295 indexed citations

Hicke, Brian J., C. Marion, Ying-Fon Chang, et al.. (2001). Tenascin-C Aptamers Are Generated Using Tumor Cells and Purified Protein. Journal of Biological Chemistry. 276(52). 48644–48654. 257 indexed citations

Watson, Susan R., Ying-Fon Chang, D O'Connell, et al.. (2000). Anti-L-Selectin Aptamers: Binding Characteristics, Pharmacokinetic Parameters, and Activity Against an Intravascular Target In Vivo. Antisense and Nucleic Acid Drug Development. 10(2). 63–75. 67 indexed citations

Chang, Ying-Fon, et al.. (1999). Site-Directed Selection of Oligonucleotide Antagonists by Competitive Elution. Antisense and Nucleic Acid Drug Development. 9(1). 1–11. 13 indexed citations

Chang, Ying-Fon, D O'Connell, Stanley C. Gill, et al.. (1998). High-Affinity Aptamers Selectively Inhibit Human Nonpancreatic Secretory Phospholipase A₂ (hnps-PLA₂). Journal of Medicinal Chemistry. 41(6). 778–786. 28 indexed citations

Pagratis, Nikos, Carol Bell, Ying-Fon Chang, et al.. (1997). Potent 2′-amino-, and 2′-fluoro-2′- deoxyribonucleotide RNA inhibitors of keratinocyte growth factor. Nature Biotechnology. 15(1). 68–73. 162 indexed citations

Hicke, Brian J., Susan R. Watson, Andrea Koenig, et al.. (1996). DNA aptamers block L-selectin function in vivo. Inhibition of human lymphocyte trafficking in SCID mice.. Journal of Clinical Investigation. 98(12). 2688–2692. 110 indexed citations

O'Connell, D, Andrea Koenig, Susan Jennings, et al.. (1996). Calcium-dependent oligonucleotide antagonists specific for L-selectin.. Proceedings of the National Academy of Sciences. 93(12). 5883–5887. 87 indexed citations

Menon, Ravi S., et al.. (1992). Regional localization of human β-casein gene (CSN2) to 4pter-q21. Genomics. 13(1). 225–226. 6 indexed citations

10.

Menon, Ravi S., et al.. (1992). Exon skipping in human β-casein. Genomics. 12(1). 13–17. 15 indexed citations

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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