Hao-Ming Chang

1.1k total citations
12 papers, 725 citations indexed

About

Hao-Ming Chang is a scholar working on Molecular Biology, Cancer Research and Biomaterials. According to data from OpenAlex, Hao-Ming Chang has authored 12 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Biomaterials. Recurrent topics in Hao-Ming Chang's work include MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). Hao-Ming Chang is often cited by papers focused on MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). Hao-Ming Chang collaborates with scholars based in United States, Taiwan and Ethiopia. Hao-Ming Chang's co-authors include Richard I. Gregory, James E. Thornton, Robinson Triboulet, Elena Piskounova, David T. Levy, Isabelle Marié, Charles M. Rice, Matthew Paulson, Michelle Holko and Bryan Williams and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Hao-Ming Chang

11 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao-Ming Chang United States 7 606 271 119 111 53 12 725
Zhongzheng Cao China 7 746 1.2× 251 0.9× 103 0.9× 158 1.4× 97 1.8× 13 887
Artem G. Lada United States 14 518 0.9× 177 0.7× 43 0.4× 82 0.7× 94 1.8× 19 600
Jessica Alluin United States 12 715 1.2× 450 1.7× 77 0.6× 40 0.4× 54 1.0× 16 847
Masatoshi Aida Japan 9 596 1.0× 125 0.5× 246 2.1× 80 0.7× 52 1.0× 9 780
Quentin Guéranger France 9 490 0.8× 186 0.7× 218 1.8× 88 0.8× 47 0.9× 9 675
Emily C. Knouf United States 7 492 0.8× 402 1.5× 75 0.6× 60 0.5× 56 1.1× 8 663
Annie De Smet France 10 530 0.9× 114 0.4× 259 2.2× 100 0.9× 85 1.6× 13 708
Adam Langenbucher United States 8 333 0.5× 160 0.6× 73 0.6× 118 1.1× 72 1.4× 12 463
Jaclyn Quin Sweden 9 895 1.5× 99 0.4× 100 0.8× 203 1.8× 43 0.8× 12 1.1k
Divya Iyer United States 10 363 0.6× 106 0.4× 57 0.5× 102 0.9× 53 1.0× 21 567

Countries citing papers authored by Hao-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hao-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao-Ming Chang

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

All Works

12 of 12 papers shown
1.
Darge, Haile Fentahun, Kuan‐Ju Chen, Hao-Ming Chang, et al.. (2025). Synergistic local delivery of gemcitabine and resiquimod (R848) via Janus micelles encapsulated in a dual-responsive hydrogel for subcutaneous glioblastoma treatment models. Journal of Drug Delivery Science and Technology. 112. 107255–107255. 2 indexed citations
2.
3.
Darge, Haile Fentahun, Hsieh‐Chih Tsai, Yihenew Simegniew Birhan, et al.. (2024). Actively Targeting Redox-Responsive Multifunctional Micelles for Synergistic Chemotherapy of Cancer. ACS Omega. 9(32). 34268–34280. 5 indexed citations
4.
5.
Chang, Hao-Ming, et al.. (2020). TRIM71 binds to IMP1 and is capable of positive and negative regulation of target RNAs. Cell Cycle. 19(18). 2314–2326. 9 indexed citations
6.
Marié, Isabelle, Hao-Ming Chang, & David T. Levy. (2018). HDAC stimulates gene expression through BRD4 availability in response to IFN and in interferonopathies. The Journal of Experimental Medicine. 215(12). 3194–3212. 40 indexed citations
7.
Martínez, Natalia, et al.. (2013). The co-chaperones Fkbp4/5 control Argonaute2 expression and facilitate RISC assembly. RNA. 19(11). 1583–1593. 37 indexed citations
8.
Chang, Hao-Ming, Robinson Triboulet, James E. Thornton, & Richard I. Gregory. (2013). A role for the Perlman syndrome exonuclease Dis3l2 in the Lin28–let-7 pathway. Nature. 497(7448). 244–248. 264 indexed citations
9.
Thornton, James E., Hao-Ming Chang, Elena Piskounova, & Richard I. Gregory. (2012). Lin28-mediated control of let-7 microRNA expression by alternative TUTases Zcchc11 (TUT4) and Zcchc6 (TUT7). RNA. 18(10). 1875–1885. 175 indexed citations
10.
Noyes, N., et al.. (2006). O-151. Fertility and Sterility. 86(3). S64–S65. 3 indexed citations
11.
Chang, Hao-Ming, Matthew Paulson, Michelle Holko, et al.. (2004). Induction of interferon-stimulated gene expression and antiviral responses require protein deacetylase activity. Proceedings of the National Academy of Sciences. 101(26). 9578–9583. 179 indexed citations
12.
Chang, Hao-Ming, et al.. (1994). Management for acute corrosive injury of upper gastrointestinal tract.. PubMed. 54(1). 20–5. 8 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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