Hee‐Yeon Woo

1.6k total citations
62 papers, 1.2k citations indexed

About

Hee‐Yeon Woo is a scholar working on Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hee‐Yeon Woo has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 12 papers in Molecular Biology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hee‐Yeon Woo's work include Cervical Cancer and HPV Research (8 papers), Molecular Biology Techniques and Applications (7 papers) and Diabetes Management and Research (4 papers). Hee‐Yeon Woo is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Molecular Biology Techniques and Applications (7 papers) and Diabetes Management and Research (4 papers). Hee‐Yeon Woo collaborates with scholars based in South Korea, United States and Sri Lanka. Hee‐Yeon Woo's co-authors include Hyosoon Park, Min‐Jung Kwon, Seungho Ryu, Yoosoo Chang, Kye Hyun Kim, Won Sool Kim, Eun‐Jung Rhee, Dong Il Park, Eunju Sung and Soo‐Kyung Park and has published in prestigious journals such as PLoS ONE, Journal of the American Society of Nephrology and American Journal of Ophthalmology.

In The Last Decade

Hee‐Yeon Woo

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee‐Yeon Woo South Korea 19 438 196 185 177 146 62 1.2k
Olga Vera‐Lastra Mexico 27 241 0.6× 261 1.3× 241 1.3× 219 1.2× 252 1.7× 113 2.1k
Dan Song China 21 270 0.6× 71 0.4× 297 1.6× 360 2.0× 85 0.6× 97 1.4k
Hedi Orbach Israel 22 310 0.7× 301 1.5× 142 0.8× 150 0.8× 119 0.8× 37 2.0k
Rachel Jeffery United Kingdom 8 560 1.3× 85 0.4× 242 1.3× 373 2.1× 52 0.4× 14 2.1k
F Chiarelli Italy 19 127 0.3× 276 1.4× 157 0.8× 182 1.0× 77 0.5× 70 971
Gary Faulds United Kingdom 7 560 1.3× 128 0.7× 235 1.3× 482 2.7× 60 0.4× 8 2.3k
Gabriella Bekő Hungary 21 154 0.4× 75 0.4× 96 0.5× 204 1.2× 212 1.5× 57 1.6k
G Giuffrida Italy 21 279 0.6× 426 2.2× 250 1.4× 86 0.5× 49 0.3× 65 1.2k
Mara De Amici Italy 25 360 0.8× 135 0.7× 229 1.2× 348 2.0× 64 0.4× 176 2.3k
Berkan Gürakan Türkiye 19 151 0.3× 81 0.4× 200 1.1× 255 1.4× 43 0.3× 79 1.2k

Countries citing papers authored by Hee‐Yeon Woo

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Yeon Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Yeon Woo. 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 Hee‐Yeon Woo. The network helps show where Hee‐Yeon Woo may publish in the future.

Co-authorship network of co-authors of Hee‐Yeon Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Yeon Woo. A scholar is included among the top collaborators of Hee‐Yeon Woo 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 Hee‐Yeon Woo. Hee‐Yeon Woo 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.
Kwon, Min‐Jung, et al.. (2025). Mean platelet volume as a biomarker for liver fibrosis in patients with Non-alcoholic fatty liver disease. PLoS ONE. 20(2). e0318847–e0318847.
2.
Woo, Hee‐Yeon, et al.. (2024). Cutoff Values for Glycated Albumin, 1,5‐Anhydroglucitol, and Fructosamine as Alternative Markers for Hyperglycemia. Journal of Clinical Laboratory Analysis. 38(19-20). e25097–e25097.
3.
Woo, Hee‐Yeon, et al.. (2024). Performance evaluation of the Allplex HPV HR Detection assay in comparison with the Cobas HPV test for high-risk HPV genotyping. Diagnostic Microbiology and Infectious Disease. 110(2). 116433–116433. 1 indexed citations
4.
Woo, Hee‐Yeon, et al.. (2021). Identification of a de novo ANK1 Variant in a Patient with Hereditary Spherocytosis on Multi-gene Panel Testing. Laboratory Medicine Online. 12(1). 58–62. 1 indexed citations
5.
Lee, Kyung‐Hoon, et al.. (2020). Late Diagnosis of Wilson Disease, Initially Presenting as Cerebellar Atrophy Mimicking Spinocerebellar Ataxia, by Multigene Panel Testing. Annals of Laboratory Medicine. 40(6). 500–503. 1 indexed citations
6.
Park, Soo‐Kyung, Chil-Woo Lee, Dong Il Park, et al.. (2020). Detection of SARS-CoV-2 in Fecal Samples From Patients With Asymptomatic and Mild COVID-19 in Korea. Clinical Gastroenterology and Hepatology. 19(7). 1387–1394.e2. 135 indexed citations
7.
Lee, Seung Jun, et al.. (2019). Evaluation of the Elecsys Syphilis electrochemiluminescence immunoassay as a first-line screening test in the reverse algorithms for syphilis serodiagnosis. International Journal of Infectious Diseases. 80. 98–104. 6 indexed citations
8.
Oh, Kang‐Seob, et al.. (2018). The Relationship between Plasma Oxytocin Levels and Social Anxiety Symptoms. Psychiatry Investigation. 15(11). 1079–1086. 20 indexed citations
9.
Lee, Seung‐Jun, et al.. (2018). Urine Cotinine level with smoking history predicts a risk of coronary artery calcification. Environmental Toxicology and Pharmacology. 59. 146–151. 3 indexed citations
10.
Kim, Kye Hyun, et al.. (2017). Binge eating is associated with trait anxiety in Korean adolescent girls: a cross sectional study. BMC Women s Health. 17(1). 8–8. 19 indexed citations
11.
Kim, Kye Hyun, Dong‐Won Shin, Young Chul Shin, et al.. (2015). Association between theCLOCKgene 3111 T > C polymorphism and an irregular menstrual cycle in Korean adolescents. Journal of Psychosomatic Obstetrics & Gynecology. 36(4). 148–154. 6 indexed citations
12.
Lee, Kyung‐Bok, Hakjae Roh, Moo‐Young Ahn, et al.. (2014). Intracranial Arterial Calcification Can Predict Early Vascular Events after Acute Ischemic Stroke. Journal of Stroke and Cerebrovascular Diseases. 23(5). e331–e337. 14 indexed citations
13.
Kwon, Min‐Jung, Kyoung Ho Roh, Hyosoon Park, & Hee‐Yeon Woo. (2014). Comparison of the Anyplex II HPV28 assay with the Hybrid Capture 2 assay for the detection of HPV infection. Journal of Clinical Virology. 59(4). 246–249. 51 indexed citations
14.
Lee, Kyung Bok, et al.. (2013). Low Glomerular Filtration Rate Increases Hemorrhagic Transformation in Acute Ischemic Stroke. Cerebrovascular Diseases. 35(1). 53–59. 44 indexed citations
15.
16.
Lim, Se‐Won, et al.. (2010). Associations between the serotonin-1A receptor C(-1019)G polymorphism and disordered eating symptoms in female adolescents. Journal of Neural Transmission. 117(6). 773–779. 7 indexed citations
17.
Ryu, Seungho, Yoosoo Chang, Hee‐Yeon Woo, et al.. (2008). Changes in Body Weight Predict CKD in Healthy Men. Journal of the American Society of Nephrology. 19(9). 1798–1805. 61 indexed citations
18.
19.
Woo, Hee‐Yeon, et al.. (2005). Comparison of hs-CRP and Lipid Values Between Hypertensive and Normotensive Groups. 37(3). 185–189. 2 indexed citations
20.
Ha, Jung‐Sook, Nam Hee Ryoo, Jae‐Ryong Kim, et al.. (2002). A Case of X;Y Translocation with Complex Minor Anomalies and Mental Retardation: 46,Y,der(X)t(X;Y)(p22.3;q11.2)mat. The Korean Journal of Laboratory Medicine. 22(2). 125–129. 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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