Ein Oh

774 total citations
14 papers, 524 citations indexed

About

Ein Oh is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Ein Oh has authored 14 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Ophthalmology. Recurrent topics in Ein Oh's work include Retinal Diseases and Treatments (3 papers), Glaucoma and retinal disorders (3 papers) and Retinal Imaging and Analysis (3 papers). Ein Oh is often cited by papers focused on Retinal Diseases and Treatments (3 papers), Glaucoma and retinal disorders (3 papers) and Retinal Imaging and Analysis (3 papers). Ein Oh collaborates with scholars based in South Korea, China and United States. Ein Oh's co-authors include Tae Keun Yoo, Eun‐Cheol Park, Deok Won Kim, Samin Hong, Joon Yul Choi, Soo Beom Choi, Jee Soo Park, Seho Park, Mi Hyang Lee and Seung Il Kim and has published in prestigious journals such as PLoS ONE, Investigative Ophthalmology & Visual Science and British Journal of Anaesthesia.

In The Last Decade

Ein Oh

13 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ein Oh South Korea 12 156 152 70 67 62 14 524
Kemal Üreten Türkiye 20 109 0.7× 81 0.5× 78 1.1× 42 0.6× 253 4.1× 48 1.2k
Kourosh Sheibani Iran 14 158 1.0× 125 0.8× 53 0.8× 23 0.3× 63 1.0× 67 550
Zvi Segal Israel 10 37 0.2× 23 0.2× 28 0.4× 53 0.8× 26 0.4× 28 300
Laura Liu Taiwan 21 705 4.5× 554 3.6× 69 1.0× 13 0.2× 430 6.9× 95 1.6k
Wenxiang Ding China 13 156 1.0× 204 1.3× 3 0.0× 39 0.6× 110 1.8× 38 694
Jonathan J. Rasouli United States 13 12 0.1× 55 0.4× 67 1.0× 9 0.1× 230 3.7× 36 605
Antonios Mazarakis Greece 8 43 0.3× 26 0.2× 26 0.4× 55 0.8× 153 2.5× 15 389
Arminas Ragauskas Lithuania 17 173 1.1× 169 1.1× 9 0.1× 10 0.1× 79 1.3× 51 715
Rui Hu China 15 7 0.0× 70 0.5× 29 0.4× 10 0.1× 92 1.5× 42 667
S.M. Ling United States 13 4 0.0× 81 0.5× 33 0.5× 71 1.1× 182 2.9× 16 799

Countries citing papers authored by Ein Oh

Since Specialization
Citations

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

Fields of papers citing papers by Ein Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ein Oh

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

All Works

14 of 14 papers shown
1.
2.
Yoo, Tae Keun & Ein Oh. (2021). Association Between Dry Eye Syndrome and Osteoarthritis Severity: A Nationwide Cross-Sectional Study (KNHANES V). Pain Medicine. 22(11). 2525–2532. 3 indexed citations
3.
Yoo, Tae Keun, Ein Oh, Hong Kyu Kim, et al.. (2020). Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study. PLoS ONE. 15(4). e0231322–e0231322. 17 indexed citations
4.
Yoo, Tae Keun, et al.. (2020). Toward automated severe pharyngitis detection with smartphone camera using deep learning networks. Computers in Biology and Medicine. 125. 103980–103980. 19 indexed citations
5.
Yoo, Tae Keun & Ein Oh. (2019). Diabetes mellitus is associated with dry eye syndrome: a meta-analysis. International Ophthalmology. 39(11). 2611–2620. 66 indexed citations
6.
Cho, Jin Sun, Mi Hyang Lee, Seung Il Kim, et al.. (2017). The Effects of Perioperative Anesthesia and Analgesia on Immune Function in Patients Undergoing Breast Cancer Resection: A Prospective Randomized Study. International Journal of Medical Sciences. 14(10). 970–976. 81 indexed citations
7.
Bai, Sun Joon, et al.. (2016). Comparing McGRATH® MAC, C-MAC®, and Macintosh Laryngoscopes Operated by Medical Students: A Randomized, Crossover, Manikin Study. BioMed Research International. 2016. 1–8. 22 indexed citations
8.
Kim, Hyun Joo, Ki‐Young Lee, Sun Joon Bai, et al.. (2016). Influence of head and neck position on ventilation using the air-Q® SP airway in anaesthetized paralysed patients: a prospective randomized crossover study. British Journal of Anaesthesia. 118(3). 452–457. 19 indexed citations
9.
Yoo, Tae Keun, Deok Won Kim, Soo Beom Choi, Ein Oh, & Jee Soo Park. (2016). Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study. PLoS ONE. 11(2). e0148724–e0148724. 51 indexed citations
10.
Oh, Ein, Tae Keun Yoo, & Samin Hong. (2015). Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test. Investigative Ophthalmology & Visual Science. 56(6). 3957–3957. 40 indexed citations
11.
Yoo, Tae Keun, Ein Oh, & Samin Hong. (2014). Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea. Public Health Nutrition. 17(4). 833–843. 42 indexed citations
12.
Oh, Ein, Tae Keun Yoo, & Eun‐Cheol Park. (2013). Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study. BMC Medical Informatics and Decision Making. 13(1). 106–106. 60 indexed citations
13.
Yoo, Tae Keun, Deok Won Kim, Joon Yul Choi, et al.. (2013). Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning. Yonsei Medical Journal. 54(6). 1321–1321. 64 indexed citations
14.
Yoo, Tae Keun, et al.. (2013). Osteoporosis risk prediction using machine learning and conventional methods. PubMed. 2013. 188–191. 40 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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