Ming‐Lun Hsu

2.2k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

Ming‐Lun Hsu is a scholar working on Oral Surgery, Orthodontics and Surgery. According to data from OpenAlex, Ming‐Lun Hsu has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oral Surgery, 16 papers in Orthodontics and 15 papers in Surgery. Recurrent topics in Ming‐Lun Hsu's work include Dental Implant Techniques and Outcomes (22 papers), Dental materials and restorations (12 papers) and Bone Tissue Engineering Materials (10 papers). Ming‐Lun Hsu is often cited by papers focused on Dental Implant Techniques and Outcomes (22 papers), Dental materials and restorations (12 papers) and Bone Tissue Engineering Materials (10 papers). Ming‐Lun Hsu collaborates with scholars based in Taiwan, Japan and Thailand. Ming‐Lun Hsu's co-authors include Guang Hong, Ding‐Han Wang, Corrado Paganelli, Prathip Phantumvanit, Cheng‐Kung Cheng, Chen-Sheng Chen, Chang-Hung Huang, Her‐Hsiung Huang, Wei-En Yang and Chia‐Shu Lin and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Dental Research and Journal of Alloys and Compounds.

In The Last Decade

Ming‐Lun Hsu

61 papers receiving 1.5k citations

Hit Papers

Innovation of dental education during COVID-19 pandemic 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Innovation of dental education during COVID-19 pandemic
    2020 235 citations Guang Hong, Ming‐Lun Hsu et al. Journal of Dental Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Lun Hsu Taiwan 22 511 350 331 291 190 63 1.5k
Emet D. Schneiderman United States 25 487 1.0× 136 0.4× 399 1.2× 240 0.8× 125 0.7× 95 1.9k
Donald A. Curtis United States 27 842 1.6× 173 0.5× 676 2.0× 387 1.3× 123 0.6× 90 1.8k
Guang Hong Japan 21 465 0.9× 268 0.8× 572 1.7× 115 0.4× 318 1.7× 123 1.5k
Guy Willems Belgium 22 1.1k 2.2× 181 0.5× 751 2.3× 178 0.6× 145 0.8× 59 2.2k
Hans Malmström United States 33 976 1.9× 186 0.5× 752 2.3× 218 0.7× 292 1.5× 143 3.1k
Kristian Kniha Germany 18 430 0.8× 213 0.6× 384 1.2× 329 1.1× 58 0.3× 93 1.0k
Ali Modabber Germany 24 920 1.8× 569 1.6× 645 1.9× 1.3k 4.5× 66 0.3× 229 2.7k
María Cristina Manzanares‐Céspedes Spain 24 429 0.8× 791 2.3× 140 0.4× 521 1.8× 256 1.3× 113 2.6k
Winfried Harzer Germany 23 498 1.0× 83 0.2× 774 2.3× 113 0.4× 147 0.8× 88 1.8k
Rosemary Sadami Arai Shinkai Brazil 25 913 1.8× 229 0.7× 918 2.8× 185 0.6× 147 0.8× 97 1.9k

Countries citing papers authored by Ming‐Lun Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lun Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Lun Hsu

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

All Works

20 of 20 papers shown
1.
Wang, Ding‐Han, et al.. (2025). SegmentAnyTooth: An open-source deep learning framework for tooth enumeration and segmentation in intraoral photos. Journal of Dental Sciences. 20(2). 1110–1117. 2 indexed citations
2.
Yang, Cheng‐Chieh, Jumpei Washio, Yu‐Cheng Lin, et al.. (2025). Microbiome Signatures and Dysbiotic Patterns in Oral Cancer and Precancerous Lesions. Oral Diseases. 31(8). 2456–2465. 1 indexed citations
3.
4.
Huynh, Nam Cong‐Nhat, An V. Tran, Y. Le, et al.. (2024). Correlation of resin composite translucency and IOS accuracy: An in-vitro study. Journal of Clinical and Experimental Dentistry. 16(6). e678–e684. 4 indexed citations
5.
Hsu, Ming‐Lun, et al.. (2023). A mobile augmented reality-integrated oral health education for community dwelling older adults: A pilot study. Journal of Dental Sciences. 18(4). 1838–1844. 8 indexed citations
6.
Huang, Chang‐Hung, et al.. (2022). Effect of cutting flute design features on primary stability of immediate implant placement and restoration: a dynamic experimental analysis. Medical & Biological Engineering & Computing. 61(2). 475–484. 5 indexed citations
7.
Wang, Ding‐Han, et al.. (2022). Evaluation of the potential denture covering area in buccal shelf with intraoral scanner. Journal of Dental Sciences. 17(3). 1335–1341. 4 indexed citations
8.
Hsu, Ming‐Lun, et al.. (2021). Effect of online learning for dental education in asia during the pandemic of COVID-19. Journal of Dental Sciences. 16(4). 1095–1101. 61 indexed citations
9.
Lin, Chia‐Shu, Hsiao-Han Lin, Wei‐Ju Lee, et al.. (2020). Association between tooth loss and gray matter volume in cognitive impairment. Brain Imaging and Behavior. 14(2). 396–407. 19 indexed citations
10.
Huang, Chang-Hung, et al.. (2020). Effect of implant design on the initial biomechanical stability of two self-tapping dental implants. Clinical Biomechanics. 74. 124–130. 7 indexed citations
11.
12.
Liao, Chun‐Hsing, et al.. (2019). Vancomycin-loaded oxidized hyaluronic acid and adipic acid dihydrazide hydrogel: Bio-compatibility, drug release, antimicrobial activity, and biofilm model. Journal of Microbiology Immunology and Infection. 53(4). 525–531. 39 indexed citations
13.
Wang, Ding‐Han, et al.. (2018). Functional disorders of the temporomandibular joints: Internal derangement of the temporomandibular joint. The Kaohsiung Journal of Medical Sciences. 34(4). 223–230. 56 indexed citations
14.
Hsieh, Yao‐Dung, et al.. (2014). Long-term survival rate of implant-supported overdentures with various attachment systems: A 20-year retrospective study. Journal of Dental Sciences. 10(1). 55–60. 12 indexed citations
15.
Chen, Yi‐Chin, et al.. (2013). Stress distribution of two commercial dental implant systems: A three-dimensional finite element analysis. Journal of Dental Sciences. 8(3). 261–271. 47 indexed citations
16.
Chang, Mei‐Chi, et al.. (2013). Arecoline inhibits endothelial cell growth and migration and the attachment to mononuclear cells. Journal of Dental Sciences. 9(3). 258–264. 9 indexed citations
17.
Cherng, Juin‐Hong, Shyi-Gen Chen, Ming‐Lun Hsu, et al.. (2012). The Effect of Hyperbaric Oxygen and Air on Cartilage Tissue Engineering. Annals of Plastic Surgery. 69(6). 650–655. 17 indexed citations
18.
19.
Al‐Dwairi, Ziad Nawaf, et al.. (2012). Effect of cement types and timing of cementation on the retentive bond strength of fiber posts. Journal of Dental Sciences. 7(4). 367–372. 2 indexed citations
20.
Chang, Mei-Chi, et al.. (2011). Arecoline induced cell cycle arrest, apoptosis, and cytotoxicity to human endothelial cells. Clinical Oral Investigations. 16(4). 1267–1273. 68 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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