Ming-Hung Ling

1.7k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Ming-Hung Ling is a scholar working on Pharmaceutical Science, Dermatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ming-Hung Ling has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmaceutical Science, 3 papers in Dermatology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ming-Hung Ling's work include Advancements in Transdermal Drug Delivery (9 papers), Advanced Drug Delivery Systems (6 papers) and Bee Products Chemical Analysis (2 papers). Ming-Hung Ling is often cited by papers focused on Advancements in Transdermal Drug Delivery (9 papers), Advanced Drug Delivery Systems (6 papers) and Bee Products Chemical Analysis (2 papers). Ming-Hung Ling collaborates with scholars based in Taiwan. Ming-Hung Ling's co-authors include Mei‐Chin Chen, Zhi-Wei Lin, Dong‐Hwang Chen, Kuan‐Wen Wang and Jerry Chun‐Wei Lin and has published in prestigious journals such as ACS Nano, Biomaterials and Acta Biomaterialia.

In The Last Decade

Ming-Hung Ling

9 papers receiving 1.4k citations

Hit Papers

Near-Infrared Light-Activatable Microneedle System for Tr... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Hung Ling Taiwan 9 1.2k 567 254 249 226 9 1.5k
Shawn P. Davis United States 8 1.6k 1.4× 843 1.5× 439 1.7× 218 0.9× 278 1.2× 10 2.1k
Koen van der Maaden Netherlands 24 1.2k 1.0× 652 1.1× 299 1.2× 172 0.7× 588 2.6× 38 1.8k
Desmond I. J. Morrow United Kingdom 19 1.6k 1.3× 990 1.7× 212 0.8× 259 1.0× 239 1.1× 26 1.9k
Katarzyna Migalska United Kingdom 14 1.7k 1.4× 908 1.6× 230 0.9× 320 1.3× 284 1.3× 16 1.9k
Emma McAlister United Kingdom 17 1.7k 1.4× 892 1.6× 255 1.0× 370 1.5× 198 0.9× 20 2.0k
Anthony P. Raphael Australia 18 615 0.5× 404 0.7× 205 0.8× 115 0.5× 187 0.8× 28 1.1k
Shubhmita Bhatnagar India 14 693 0.6× 301 0.5× 161 0.6× 168 0.7× 172 0.8× 24 1.1k
Aaron R. J. Hutton United Kingdom 16 937 0.8× 394 0.7× 254 1.0× 170 0.7× 116 0.5× 33 1.2k
J.A. Bouwstra Netherlands 16 955 0.8× 490 0.9× 159 0.6× 112 0.4× 120 0.5× 30 1.3k
Ester Caffarel–Salvador United Kingdom 12 895 0.8× 444 0.8× 190 0.7× 191 0.8× 96 0.4× 13 1.1k

Countries citing papers authored by Ming-Hung Ling

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hung Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Hung Ling

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

All Works

9 of 9 papers shown
1.
Chen, Mei‐Chin, et al.. (2017). Enhancing immunogenicity of antigens through sustained intradermal delivery using chitosan microneedles with a patch-dissolvable design. Acta Biomaterialia. 65. 66–75. 114 indexed citations
2.
Chen, Mei‐Chin, et al.. (2016). Implantable polymeric microneedles with phototriggerable properties as a patient-controlled transdermal analgesia system. Journal of Materials Chemistry B. 5(3). 496–503. 48 indexed citations
3.
Chen, Mei‐Chin, et al.. (2015). Poly-γ-glutamic acid microneedles with a supporting structure design as a potential tool for transdermal delivery of insulin. Acta Biomaterialia. 24. 106–116. 121 indexed citations
4.
Chen, Mei‐Chin, Zhi-Wei Lin, & Ming-Hung Ling. (2015). Near-Infrared Light-Activatable Microneedle System for Treating Superficial Tumors by Combination of Chemotherapy and Photothermal Therapy. ACS Nano. 10(1). 93–101. 309 indexed citations breakdown →
5.
Chen, Mei‐Chin, et al.. (2015). Near-Infrared Light-Responsive Composite Microneedles for On-Demand Transdermal Drug Delivery. Biomacromolecules. 16(5). 1598–1607. 119 indexed citations
6.
Chen, Mei‐Chin, et al.. (2014). Remotely triggered release of small molecules from LaB6@SiO2-loaded polycaprolactone microneedles. Acta Biomaterialia. 13. 344–353. 75 indexed citations
7.
Ling, Ming-Hung & Mei‐Chin Chen. (2013). Dissolving polymer microneedle patches for rapid and efficient transdermal delivery of insulin to diabetic rats. Acta Biomaterialia. 9(11). 8952–8961. 232 indexed citations
8.
Chen, Mei‐Chin, et al.. (2013). Fully embeddable chitosan microneedles as a sustained release depot for intradermal vaccination. Biomaterials. 34(12). 3077–3086. 228 indexed citations
9.
Chen, Mei‐Chin, et al.. (2012). Chitosan Microneedle Patches for Sustained Transdermal Delivery of Macromolecules. Biomacromolecules. 13(12). 4022–4031. 218 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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