Ga‐In Lee

602 total citations
44 papers, 356 citations indexed

About

Ga‐In Lee is a scholar working on Ophthalmology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Ga‐In Lee has authored 44 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ophthalmology, 13 papers in Epidemiology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Ga‐In Lee's work include Glaucoma and retinal disorders (15 papers), Air Quality and Health Impacts (7 papers) and Reproductive tract infections research (7 papers). Ga‐In Lee is often cited by papers focused on Glaucoma and retinal disorders (15 papers), Air Quality and Health Impacts (7 papers) and Reproductive tract infections research (7 papers). Ga‐In Lee collaborates with scholars based in South Korea, Canada and United Kingdom. Ga‐In Lee's co-authors include Kyung‐Ah Park, Doo‐Sik Kong, Sei Yeul Oh, Sei Yeul Oh, Young Ju Kim, Young‐Ah You, Byoung Joon Kim, Soo Min Kim, AbuZar Ansari and Ju‐Hong Min and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Ga‐In Lee

38 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ga‐In Lee South Korea 12 168 88 85 59 57 44 356
Apjit Kaur India 10 117 0.7× 57 0.6× 50 0.6× 52 0.9× 77 1.4× 33 313
Ebru Nevin Çetin Türkiye 12 380 2.3× 62 0.7× 274 3.2× 26 0.4× 25 0.4× 63 535
Jean‐Paul Adenis France 12 234 1.4× 61 0.7× 83 1.0× 45 0.8× 71 1.2× 22 391
Parth Shah United States 11 175 1.0× 92 1.0× 81 1.0× 29 0.5× 58 1.0× 49 354
Jeong Hun Bae South Korea 14 348 2.1× 61 0.7× 147 1.7× 44 0.7× 16 0.3× 43 500
Preeti Patil Chhablani India 10 123 0.7× 50 0.6× 80 0.9× 96 1.6× 65 1.1× 26 311
Pedro Ramalho United Kingdom 6 112 0.7× 60 0.7× 72 0.8× 26 0.4× 18 0.3× 11 310
T Barrie United Kingdom 13 456 2.7× 57 0.6× 315 3.7× 67 1.1× 19 0.3× 30 549
Yi Ning J. Strube Canada 9 129 0.8× 54 0.6× 78 0.9× 14 0.2× 86 1.5× 22 307
Jennifer Tan United Kingdom 8 152 0.9× 112 1.3× 43 0.5× 41 0.7× 87 1.5× 29 301

Countries citing papers authored by Ga‐In Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ga‐In Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ga‐In Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ga‐In Lee. A scholar is included among the top collaborators of Ga‐In 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 Ga‐In Lee. Ga‐In 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, Ga‐In, et al.. (2025). Impact of particulate matter 2.5 on placental ultrastructure including mitochondrial damage through oxidative stress. Reproductive Toxicology. 136. 108973–108973.
2.
You, Young‐Ah, et al.. (2025). Association of maternal multi-metal exposure and dyslipidemia: a study of air pollution on pregnancy outcomes. BMC Pregnancy and Childbirth. 25(1). 518–518.
3.
Kwon, Eunjin, et al.. (2024). Identification of Short-Chain Fatty Acids for Predicting Preterm Birth in Cervicovaginal Fluid Using Mass Spectrometry. International Journal of Molecular Sciences. 25(6). 3396–3396. 1 indexed citations
4.
5.
Kim, Young Ju, Ga‐In Lee, Young‐Ah You, et al.. (2024). Association Between Individual Air Pollution (PM10, PM2.5) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study. Journal of Korean Medical Science. 39(13). e131–e131. 6 indexed citations
6.
Lee, Ga‐In, Young‐Ah You, Soo Min Kim, et al.. (2024). Urinary metabolite biomarkers of pregnancy complications associated with maternal exposure to particulate matter. Reproductive Toxicology. 124. 108550–108550. 5 indexed citations
7.
Kim, Soo-Min, Sang‐Suk Lee, AbuZar Ansari, et al.. (2024). Maternal Diet during Pregnancy Alters the Metabolites in Relation to Metabolic and Neurodegenerative Diseases in Young Adult Offspring. International Journal of Molecular Sciences. 25(20). 11046–11046. 2 indexed citations
8.
Ansari, AbuZar, Young‐Ah You, Soo Min Kim, et al.. (2023). Lactobacillus Probiotics Improve Vaginal Dysbiosis in Asymptomatic Women. Nutrients. 15(8). 1862–1862. 22 indexed citations
9.
Yoo, Jae Young, et al.. (2023). A genome-wide and candidate gene association study of preterm birth in Korean pregnant women. PLoS ONE. 18(11). e0294948–e0294948. 1 indexed citations
10.
Lee, Ga‐In, Kyungdo Han, Kyung‐Ah Park, & Sei Yeul Oh. (2023). Risk of optic neuritis in type 2 diabetes mellitus: A nationwide cohort study. Journal of the Neurological Sciences. 450. 120673–120673. 2 indexed citations
11.
Kwon, Eunjin, Ga‐In Lee, Young‐Ah You, et al.. (2023). Effect of Particulate Matter 2.5 on Fetal Growth in Male and Preterm Infants through Oxidative Stress. Antioxidants. 12(11). 1916–1916. 5 indexed citations
12.
Kwon, Eunjin, Young‐Ah You, Soo Min Kim, et al.. (2023). Personal exposure of PM2.5 and metabolic syndrome markers of pregnant women in South Korea: APPO study. Environmental Science and Pollution Research. 30(59). 123893–123906. 3 indexed citations
13.
You, Young‐Ah, Kwangmin Kim, Eun Jin Kwon, et al.. (2022). Transition in vaginal Lactobacillus species during pregnancy and prediction of preterm birth in Korean women. Scientific Reports. 12(1). 22303–22303. 5 indexed citations
14.
Lee, Ga‐In, Yi Kyung Kim, Kyung‐Ah Park, et al.. (2022). Parafoveal and peripapillary vessel density in pediatric and juvenile craniopharyngioma patients. Scientific Reports. 12(1). 5355–5355. 8 indexed citations
15.
Lee, Ga‐In, Kyung‐Ah Park, Sei Yeul Oh, & Doo‐Sik Kong. (2020). Analysis of Optic Chiasmal Compression Caused by Brain Tumors Using Optical Coherence Tomography Angiography. Scientific Reports. 10(1). 2088–2088. 26 indexed citations
16.
Cho, Baek Hwan, Da Young Lee, Kyung‐Ah Park, et al.. (2020). Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography. BMC Ophthalmology. 20(1). 407–407. 17 indexed citations
17.
Lee, Ga‐In, et al.. (2020). Risk Factors for Intraocular Lens Dislocation After Phacoemulsification: A Nationwide Population-Based Cohort Study. American Journal of Ophthalmology. 214. 86–96. 22 indexed citations
18.
Kong, Mingui, Sungsoon Hwang, Hyeonyoung Ko, et al.. (2020). Heritability of macular ganglion cell inner plexiform layer thickness as determined by optical coherence tomography: the Healthy Twin Study. British Journal of Ophthalmology. 105(7). 1011–1015.
19.
Park, Kyung‐Ah, Ga‐In Lee, & Sei Yeul Oh. (2019). Comparison of surgical dose response between divergence insufficiency esotropia and non-accommodative esotropia without divergence insufficiency. PLoS ONE. 14(7). e0220201–e0220201. 4 indexed citations
20.
Han, Jong Chul, Hyeonyoung Ko, Seung Hoon Kim, et al.. (2017). Heritability of the morphology of optic nerve head and surrounding structures: The Healthy Twin Study. PLoS ONE. 12(11). e0187498–e0187498. 5 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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