Chun‐Teh Lee

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

About

Chun‐Teh Lee is a scholar working on Oral Surgery, Urology and Periodontics. According to data from OpenAlex, Chun‐Teh Lee has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oral Surgery, 18 papers in Urology and 17 papers in Periodontics. Recurrent topics in Chun‐Teh Lee's work include Dental Implant Techniques and Outcomes (20 papers), Periodontal Regeneration and Treatments (18 papers) and Oral microbiology and periodontitis research (16 papers). Chun‐Teh Lee is often cited by papers focused on Dental Implant Techniques and Outcomes (20 papers), Periodontal Regeneration and Treatments (18 papers) and Oral microbiology and periodontitis research (16 papers). Chun‐Teh Lee collaborates with scholars based in United States, Taiwan and Myanmar. Chun‐Teh Lee's co-authors include Robin Weltman, Liang Zhu, Yen-Wen Huang, Thomas E. Van Dyke, Hend Alqaderi, Sary Borzangy, Tom C Pagonis, Jacqueline R. Starr, Sung‐Kiang Chuang and Hsiu‐Wan Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Applied Physics.

In The Last Decade

Chun‐Teh Lee

57 papers receiving 1.5k citations

Hit Papers

Prevalences of peri-implantitis and peri-implant mucositi... 2017 2026 2020 2023 2017 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
Chun‐Teh Lee United States 21 1.0k 442 367 314 170 58 1.5k
João Batista César Neto Brazil 24 708 0.7× 346 0.8× 294 0.8× 172 0.5× 233 1.4× 72 1.4k
Güliz N. Güncü Türkiye 20 685 0.7× 437 1.0× 249 0.7× 152 0.5× 124 0.7× 55 1.3k
Kathrin Becker Germany 24 1.0k 1.0× 301 0.7× 398 1.1× 526 1.7× 199 1.2× 118 1.9k
Teresa Lombardi Italy 23 887 0.9× 218 0.5× 381 1.0× 340 1.1× 265 1.6× 62 1.3k
Pelin Güneri Türkiye 25 687 0.7× 506 1.1× 91 0.2× 355 1.1× 196 1.2× 87 1.9k
Philip J. Hanes United States 20 555 0.6× 603 1.4× 376 1.0× 147 0.5× 53 0.3× 33 1.2k
Sompop Bencharit United States 20 438 0.4× 282 0.6× 75 0.2× 419 1.3× 80 0.5× 55 1.1k
Bettina Dannewitz Germany 20 556 0.6× 593 1.3× 204 0.6× 179 0.6× 41 0.2× 44 1.0k
Ivan Darby Australia 30 1.8k 1.8× 1.2k 2.8× 1.2k 3.2× 450 1.4× 197 1.2× 81 3.2k
George Pelekos Hong Kong 19 378 0.4× 570 1.3× 219 0.6× 83 0.3× 44 0.3× 59 931

Countries citing papers authored by Chun‐Teh Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Teh Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Teh Lee. 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 Chun‐Teh Lee. The network helps show where Chun‐Teh Lee may publish in the future.

Co-authorship network of co-authors of Chun‐Teh Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Teh Lee. A scholar is included among the top collaborators of Chun‐Teh Lee 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 Chun‐Teh Lee. Chun‐Teh Lee 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.
Lee, Chun‐Teh, et al.. (2024). Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach. Journal of Dentistry. 144. 104921–104921. 4 indexed citations
2.
Lee, Chun‐Teh, Hsiu‐Wan Meng, Duong Thuy Tran, et al.. (2024). Using precision periodontal health care chart (PPHCC) to improve periodontal health. Clinical Oral Investigations. 28(10). 542–542. 1 indexed citations
3.
Kandaswamy, Eswar, et al.. (2024). Association of adipokine levels with obesity in periodontal health and disease: A systematic review with meta‐analysis and meta‐regression. Journal of Periodontal Research. 59(4). 623–635. 4 indexed citations
4.
Tokede, Oluwabunmi, Alfa Yansane, Guo‐Hao Lin, et al.. (2024). The burden of diagnostic error in dentistry: A study on periodontal disease misclassification. Journal of Dentistry. 148. 105221–105221. 4 indexed citations
5.
Lee, Chun‐Teh, Yimei Li, Sue C. Kaste, et al.. (2023). Factors for poor oral health in long-term childhood cancer survivors. BMC Oral Health. 23(1). 73–73. 8 indexed citations
6.
Kim, Sung K., et al.. (2022). A novel approach to assess volumetric bone loss at immediate implant sites and comparison to linear measurements: A pilot study. Journal of Dentistry. 120. 104083–104083. 4 indexed citations
7.
Tokede, Oluwabunmi, Alfa Yansane, Joel M. White, et al.. (2022). Translating periodontal data to knowledge in a learning health system. The Journal of the American Dental Association. 153(10). 996–1004. 7 indexed citations
8.
Lee, Chun‐Teh, et al.. (2022). Accuracy of mechanical torque-limiting devices for implant screw tightening: A systematic review and meta-analysis. Journal of Prosthetic Dentistry. 132(3). 536–545. 5 indexed citations
9.
Lee, Chun‐Teh, et al.. (2022). A comprehensive artificial intelligence framework for dental diagnosis and charting. BMC Oral Health. 22(1). 480–480. 27 indexed citations
10.
Lee, Chun‐Teh, Lisha Zhu, Gena D. Tribble, et al.. (2021). Subgingival Microbiome and Specialized Pro-Resolving Lipid Mediator Pathway Profiles Are Correlated in Periodontal Inflammation. Frontiers in Immunology. 12. 691216–691216. 27 indexed citations
11.
Brito, Luciana, Janet Doolittle‐Hall, Chun‐Teh Lee, et al.. (2020). The apical root canal system microbial communities determined by next-generation sequencing. Scientific Reports. 10(1). 10932–10932. 36 indexed citations
12.
Lee, Chun‐Teh, et al.. (2019). Antimicrobial Efficacy Assessment of Human Derived Composite Amnion-Chorion Membrane. Scientific Reports. 9(1). 15600–15600. 22 indexed citations
13.
Lee, Chun‐Teh, Yen-Wen Huang, Liang Zhu, & Robin Weltman. (2017). Prevalences of peri-implantitis and peri-implant mucositis: systematic review and meta-analysis. Journal of Dentistry. 62. 1–12. 373 indexed citations breakdown →
14.
Lee, Chun‐Teh, Ricardo Teles, Alpdoğan Kantarcı, et al.. (2016). Resolvin E1 Reverses Experimental Periodontitis and Dysbiosis. The Journal of Immunology. 197(7). 2796–2806. 128 indexed citations
15.
Alqaderi, Hend, Chun‐Teh Lee, Sary Borzangy, & Tom C Pagonis. (2015). Coronal pulpotomy for cariously exposed permanent posterior teeth with closed apices: A systematic review and meta-analysis. Journal of Dentistry. 44. 1–7. 103 indexed citations
16.
Lee, Chun‐Teh, et al.. (2015). The Effect of Subepithelial Connective Tissue Graft Placement on Esthetic Outcomes After Immediate Implant Placement: Systematic Review. Journal of Periodontology. 87(2). 156–167. 36 indexed citations
17.
Lee, Chun‐Teh, et al.. (2014). Root coverage with a modified laterally positioned flap combined with a subepithelial connective tissue graft in advanced recession. Journal of Periodontal & Implant Science. 44(6). 300–300. 6 indexed citations
19.
Lee, Chun‐Teh, et al.. (2013). Trend-Oriented Training for Neural Networks to Forecast Stock Markets. Asia Pacific Management Review. 18(2). 181–195. 9 indexed citations
20.
Lee, Chun‐Teh & Yi‐Ping Phoebe Chen. (2007). The Efficacy of Neural Networks and Simple Technical Indicators in Predicting Stock Markets. 2007 International Conference on Convergence Information Technology (ICCIT 2007). 1 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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