Daewoo Lee

2.4k total citations
99 papers, 1.7k citations indexed

About

Daewoo Lee is a scholar working on Molecular Biology, Oral Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daewoo Lee has authored 99 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Oral Surgery and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daewoo Lee's work include Neurobiology and Insect Physiology Research (12 papers), Dental Radiography and Imaging (10 papers) and Dental Health and Care Utilization (9 papers). Daewoo Lee is often cited by papers focused on Neurobiology and Insect Physiology Research (12 papers), Dental Radiography and Imaging (10 papers) and Dental Health and Care Utilization (9 papers). Daewoo Lee collaborates with scholars based in South Korea, United States and Vietnam. Daewoo Lee's co-authors include Lyle Wiemerslage, Jae‐Gon Kim, Yeon-Mi Yang, Jong‐Seong Jeon, Il-Seok Oh, Archan Ganguly, Qi Cheng, Jae‐Gyu Jeon, Michael E. Adams and Kanghan Oh and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Daewoo Lee

88 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daewoo Lee South Korea	24	540	304	258	189	166	99	1.7k
Kumar M. R. Bhat India	26	972 1.8×	128 0.4×	99 0.4×	240 1.3×	113 0.7×	171	2.8k
Ali Hassan Pakistan	20	495 0.9×	187 0.6×	269 1.0×	154 0.8×	163 1.0×	78	2.0k
Monica Currò Italy	31	659 1.2×	95 0.3×	187 0.7×	86 0.5×	99 0.6×	103	2.4k
Ji‐Young Han South Korea	24	420 0.8×	96 0.3×	77 0.3×	390 2.1×	109 0.7×	109	2.0k
Miyuki Tanaka Japan	21	534 1.0×	296 1.0×	71 0.3×	86 0.5×	120 0.7×	86	2.0k
Jian Zhou China	32	1.8k 3.3×	124 0.4×	286 1.1×	229 1.2×	136 0.8×	134	3.6k
Sadao Sato Japan	33	834 1.5×	103 0.3×	163 0.6×	214 1.1×	109 0.7×	136	2.9k
Paolo Govoni Italy	29	553 1.0×	284 0.9×	111 0.4×	87 0.5×	320 1.9×	64	2.7k
Wen‐Ning Wu China	28	651 1.2×	74 0.2×	297 1.2×	236 1.2×	49 0.3×	41	2.2k
Hongxing Wang China	24	395 0.7×	44 0.1×	308 1.2×	207 1.1×	78 0.5×	107	2.0k

Countries citing papers authored by Daewoo Lee

Since Specialization

Citations

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

Fields of papers citing papers by Daewoo Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daewoo Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Daewoo, Debendra Acharya, Kisan Chhetri, et al.. (2025). Iron-vanadium oxide nanoarrays on polyimide-based electrospun carbon nanofibers as high-performance free-standing electrodes for symmetric supercapacitors. Journal of Energy Storage. 112. 115515–115515. 6 indexed citations

Lee, Daewoo, et al.. (2024). Diagnosing oral and maxillofacial diseases using deep learning. Scientific Reports. 14(1). 2497–2497. 6 indexed citations

Kim, Jae‐Gon, et al.. (2023). Prediction Model for Future Success of Early Orthopedic Treatment of Class III Malocclusion. Children. 10(2). 355–355. 2 indexed citations

Lee, Daewoo, et al.. (2023). Trends in Ankyloglossia and Surgical Treatment among Pediatric Patients in South Korea. THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY. 50(2). 229–238. 1 indexed citations

Kim, Jae‐Gon, et al.. (2023). Impaction of multiple dilacerated primary incisors: a case report. Journal of Clinical Pediatric Dentistry. 47(4). 104–110. 1 indexed citations

Lee, Daewoo, et al.. (2023). Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis. BMC Musculoskeletal Disorders. 24(1). 869–869. 17 indexed citations

Jung, Won Seok, Daewoo Lee, & Yeon-Mi Yang. (2022). Clinical diagnosis and treatment of temporomandibular disorders in children and adolescents: a case series. Journal of Clinical Pediatric Dentistry. 46(6). 63–63. 2 indexed citations

Jung, Won Seok, et al.. (2021). Deep learning for osteoarthritis classification in temporomandibular joint. Oral Diseases. 29(3). 1050–1059. 42 indexed citations

Lim, Hyemin, Hyun‐Ju Hwang, Tae‐Lim Kim, et al.. (2021). Transcriptomic Analysis of Rice Plants Overexpressing PsGAPDH in Response to Salinity Stress. Genes. 12(5). 641–641. 13 indexed citations

10.

Chae, Su‐Hyeong, et al.. (2020). White-light-emitting triphasic fibers as a phosphor for light-emitting diodes. Nanoscale Advances. 2(11). 5403–5411. 14 indexed citations

11.

Lee, Daewoo & Jun‐Il Yoo. (2020). Association between Masticatory Function and Sarcopenia in Elderly People: A Systematic Review and Meta-Analysis. International journal of gerontology. 14(3). 238–244. 6 indexed citations

12.

Ganguly, Archan, Qi Cheng, Jeevisha Bajaj, & Daewoo Lee. (2020). Serotonin receptor 5-HT7 in Drosophila mushroom body neurons mediates larval appetitive olfactory learning. Scientific Reports. 10(1). 21267–21267. 20 indexed citations

13.

Jang, Young‐Seok, et al.. (2019). In vitro wear behavior between enamel cusp and three aesthetic restorative materials: Zirconia, porcelain, and composite resin. The Journal of Advanced Prosthodontics. 11(1). 7–7. 16 indexed citations

14.

Lee, Daewoo, et al.. (2019). A SURVEY OF DENTAL TREATMENT UNDER OUTPATIENT GENERAL ANESTHESIA AT CHONBUK NATIONAL UNIVERSITY DENTAL HOSPITAL BETWEEN 2014~2017. 15(1). 1–6. 1 indexed citations

15.

Lee, Daewoo & In‐Soo Shin. (2018). Critical quality evaluation of network meta-analyses in dental care. Journal of Dentistry. 75. 7–11. 9 indexed citations

16.

Yoo, Jun‐Il, In‐Soo Shin, Jae‐Gyu Jeon, et al.. (2017). The Effect of Probiotics on Halitosis: a Systematic Review and Meta-analysis. Probiotics and Antimicrobial Proteins. 11(1). 150–157. 38 indexed citations

17.

Wiemerslage, Lyle & Daewoo Lee. (2016). Quantification of mitochondrial morphology in neurites of dopaminergic neurons using multiple parameters. Journal of Neuroscience Methods. 262. 56–65. 104 indexed citations

18.

Ganguly, Archan, et al.. (2009). Quantitative analysis of synaptic boutons in Drosophila primary neuronal cultures. Brain Research. 1280. 1–12. 9 indexed citations

19.

Schulz, Emily, et al.. (2007). Disruption of dopamine homeostasis underlies selective neurodegeneration mediated by α‐synuclein. European Journal of Neuroscience. 26(11). 3104–3112. 39 indexed citations

20.

Lee, Daewoo, et al.. (2006). Separation and Purification of Effective Components from the Alisma orientale and its Application as a Cosmeceutical Ingredient. Journal of the Society of Cosmetic Scientists of Korea. 32(1). 23–28. 2 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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