Tae Gon Yoo

530 total citations
17 papers, 386 citations indexed

About

Tae Gon Yoo is a scholar working on Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tae Gon Yoo has authored 17 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tae Gon Yoo's work include Cerebrovascular and Carotid Artery Diseases (2 papers), Glaucoma and retinal disorders (2 papers) and Acute Ischemic Stroke Management (2 papers). Tae Gon Yoo is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (2 papers), Glaucoma and retinal disorders (2 papers) and Acute Ischemic Stroke Management (2 papers). Tae Gon Yoo collaborates with scholars based in South Korea, United States and Australia. Tae Gon Yoo's co-authors include Jia Kang, Hee Chan Kim, Su‐Min Jeong, Hyung‐Min Kwon, Jin‐Ho Park, Mi Hee Cho, Dong Wook Shin, Shinhye Kim, Sang Hyuck Kim and Ki‐Woong Nam and has published in prestigious journals such as Scientific Reports, International Journal of Obesity and Investigative Ophthalmology & Visual Science.

In The Last Decade

Tae Gon Yoo

17 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tae Gon Yoo South Korea	11	97	91	61	49	48	17	386
Yingmin Chen China	14	70 0.7×	87 1.0×	74 1.2×	83 1.7×	56 1.2×	40	474
Christopher P. Bridge United States	14	62 0.6×	64 0.7×	80 1.3×	32 0.7×	81 1.7×	43	593
Stefan Englert Germany	16	97 1.0×	69 0.8×	30 0.5×	21 0.4×	85 1.8×	34	721
Barbaros S. Erdal United States	13	74 0.8×	188 2.1×	113 1.9×	15 0.3×	74 1.5×	30	603
Muhammad Bayu Sasongko Indonesia	22	128 1.3×	72 0.8×	25 0.4×	194 4.0×	42 0.9×	70	1.6k
Yu Luo China	14	191 2.0×	128 1.4×	68 1.1×	58 1.2×	95 2.0×	58	539
Hong Kyu Kim South Korea	16	104 1.1×	167 1.8×	59 1.0×	22 0.4×	40 0.8×	44	858
Guorong Lv China	13	66 0.7×	48 0.5×	30 0.5×	66 1.3×	96 2.0×	47	509
Sola Han South Korea	10	71 0.7×	35 0.4×	24 0.4×	91 1.9×	138 2.9×	50	498
Jinghong Xu China	10	100 1.0×	31 0.3×	47 0.8×	19 0.4×	53 1.1×	36	349

Countries citing papers authored by Tae Gon Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Tae Gon Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Gon Yoo. 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 Tae Gon Yoo. The network helps show where Tae Gon Yoo may publish in the future.

Co-authorship network of co-authors of Tae Gon Yoo

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

All Works

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17 of 17 papers shown

Yoo, Tae Gon, et al.. (2024). Automated volumetric analysis of the inner ear fluid space from hydrops magnetic resonance imaging using 3D neural networks. Scientific Reports. 14(1). 24798–24798. 1 indexed citations

Jeong, Su‐Min, Dong Wook Shin, Tae Gon Yoo, et al.. (2021). Association between statin use and Alzheimer’s disease with dose response relationship. Scientific Reports. 11(1). 15280–15280. 25 indexed citations

Cho, Mi Hee, Tae Gon Yoo, Su‐Min Jeong, & Dong Wook Shin. (2020). Association of Aspirin, Metformin, and Statin Use with Gastric Cancer Incidence and Mortality: A Nationwide Cohort Study. Cancer Prevention Research. 14(1). 95–104. 36 indexed citations

Kim, Sang Hyuck, Jae Moon Yun, Su‐Min Jeong, et al.. (2019). Kidney Dysfunction Impact on White Matter Hyperintensity Volume in Neurologically Healthy Adults. Scientific Reports. 9(1). 8596–8596. 10 indexed citations

Nam, Ki‐Woong, Hyung‐Min Kwon, Han‐Yeong Jeong, et al.. (2017). High neutrophil to lymphocyte ratio is associated with white matter hyperintensity in a healthy population. Journal of the Neurological Sciences. 380. 128–131. 48 indexed citations

Yun, Jae Moon, et al.. (2017). Prediction of cardiovascular disease in Korean population: based on health risk appraisal of national health screening program. Journal of Korean Medical Association. 60(9). 746–746. 5 indexed citations

Yoo, Tae Gon, Isaac Cranshaw, Reuben Broom, Sanjay Pandanaboyana, & Adam Bartlett. (2017). Systematic review of early and long-term outcome of liver resection for metastatic breast cancer: Is there a survival benefit?. The Breast. 32. 162–172. 33 indexed citations

Nam, Ki‐Woong, Hyung‐Min Kwon, Han‐Yeong Jeong, et al.. (2017). Cerebral white matter hyperintensity is associated with intracranial atherosclerosis in a healthy population. Atherosclerosis. 265. 179–183. 47 indexed citations

Jeong, Su‐Min, Tae Gon Yoo, You‐Seon Nam, et al.. (2017). Sex‐dependent effects of uric acid on cerebral microbleed: a cross‐sectional study in the general population. European Journal of Neurology. 24(10). 1300–1306. 10 indexed citations

10.

Woo, Se Joon, et al.. (2007). Investigation of the association between 677C>T and 1298A>C 5,10-methylenetetra- hydrofolate reductase gene polymorphisms and normal-tension glaucoma. Eye. 23(1). 17–24. 19 indexed citations

11.

Chang, Yoosoo, Tae Gon Yoo, Seungho Ryu, et al.. (2006). Abdominal obesity, systolic blood pressure, and microalbuminuria in normotensive and euglycemic Korean men. International Journal of Obesity. 30(5). 800–804. 17 indexed citations

12.

Oh, Seung‐June, Hyung‐Ik Shin, Nam‐Jong Paik, Tae Gon Yoo, & Ja Hyun Ku. (2006). Depressive symptoms of patients using clean intermittent catheterization for neurogenic bladder secondary to spinal cord injury. Spinal Cord. 44(12). 757–762. 30 indexed citations

13.

Kang, Jia, Tae Gon Yoo, & Hee Chan Kim. (2006). A Wrist-Worn Integrated Health Monitoring Instrument with a Tele-Reporting Device for Telemedicine and Telecare. IEEE Transactions on Instrumentation and Measurement. 55(5). 1655–1661. 100 indexed citations

14.

Woo, Se Joon, et al.. (2003). OPA1 Gene Polymorphism in Korean Normal-Tension Glaucoma Patients. Investigative Ophthalmology & Visual Science. 44(13). 1135–1135. 2 indexed citations

15.

Choi, Jin Wook, Yong Min Kim, Sanghoon Lee, et al.. (1998). Features for a B-ISDN Telemedicine System and its Application. Studies in health technology and informatics. 52 Pt 1. 307–10. 1 indexed citations

16.

Liaw, Siaw‐Teng, Michael Kidd, K C Lun, et al.. (1998). The Asia Pacific Association for Medical Informatics (APAMI) and World Organisation of Family Doctors (WONCA) Consortium on General and Family Practice Informatics--a statement of intent.. PubMed. 52 Pt 1. 189–92. 1 indexed citations

17.

Yoo, Tae Gon, et al.. (1998). Information system for a periodic examination and health promotion center.. PubMed. 52 Pt 2. 977–80. 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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