Ming‐Fa Hsieh

3.8k citations
87 papers · 3.1k · h-index 32

Impact in

    • Nanoparticle-Based Drug Delivery
    • biodegradable polymer synthesis and properties
    • Dental materials and restorations

Papers in

Ming‐Fa Hsieh

84 papers receiving 3.1k citations

Peers

Ming‐Fa Hsieh
Comparison fields: 5 of 141
  • Biomaterials 830
  • Orthodontics 210
  • Molecular Medicine 179
  • Oral Surgery 180
  • Biomedical Engineering 1.2k
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Jun Luo China
Ecaterina Andronescu Romania
Mohammad Rabiee Iran
Jiaojiao Yang China
Ana Bettencourt Portugal
Kun Wei China
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Xingyu Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Fa Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fa Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Fa Hsieh. 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‐Fa Hsieh. The network helps show where Ming‐Fa Hsieh may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Fa Hsieh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming‐Fa Hsieh Line = papers co-authored together Ming‐Fa Hsieh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002353
2 2010164
3 2013151
4 2013132
5 2020125
6 2002125
7 2014106
8 2013103
9 200194
10 202087
11 200587
12 200576
13 201174
14 201070
15 202168
16 201167
17 201757
18 200750
19 201549
20 201348

About Ming‐Fa Hsieh

Ming‐Fa Hsieh is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Surgery and Materials Chemistry, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (19 papers), Nanoparticle-Based Drug Delivery (17 papers), Nanoplatforms for cancer theranostics (7 papers), Dental materials and restorations (6 papers), Metal complexes synthesis and properties (6 papers), Dental Implant Techniques and Outcomes (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Biomaterials (830 citations), Orthodontics (210 citations), Molecular Medicine (179 citations), Oral Surgery (180 citations) and Biomedical Engineering (1.2k citations). Ming‐Fa Hsieh has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Ren‐Jei Chung, Imran Ali, Rabi N. Panda, Li‐Hsiang Perng, Tsung‐Shune Chin, Kishwar Saleem, T.S. Chin, Ashanul Haque, Chun‐Ming Huang and Waseem A. Wani. Their work appears in journals such as Polymers, International Journal of Molecular Sciences, Journal of Nanoscience and Nanotechnology, Biomedical Materials and Journal of Biomedical Materials Research Part B Applied 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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