Ju Won Seok

578 total citations
45 papers, 400 citations indexed

About

Ju Won Seok is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ju Won Seok has authored 45 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ju Won Seok's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Breast Cancer Treatment Studies (6 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Ju Won Seok is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Breast Cancer Treatment Studies (6 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Ju Won Seok collaborates with scholars based in South Korea, United States and Australia. Ju Won Seok's co-authors include Kyoungjune Pak, Yun Jae Chung, Semin Chong, Sung Jun Park, Bo Youn Cho, Ji In Lee, In Joo Kim, Kwang‐Yeol Park, In Ju Kim and Jeong‐Min Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Ju Won Seok

44 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Won Seok South Korea 13 123 98 87 64 51 45 400
Róman Boŝnjak Slovenia 14 162 1.3× 114 1.2× 41 0.5× 36 0.6× 177 3.5× 53 596
Barbara Di Pietro Italy 15 60 0.5× 30 0.3× 96 1.1× 67 1.0× 74 1.5× 17 394
Bartosz Migda Poland 14 142 1.2× 179 1.8× 110 1.3× 19 0.3× 44 0.9× 54 478
Sare Şipal Türkiye 11 52 0.4× 34 0.3× 40 0.5× 78 1.2× 29 0.6× 47 350
Luciano Farage Brazil 12 51 0.4× 38 0.4× 66 0.8× 65 1.0× 18 0.4× 30 335
Şakir Berkarda Türkiye 12 82 0.7× 41 0.4× 65 0.7× 56 0.9× 31 0.6× 30 328
Qiong Yang China 14 103 0.8× 81 0.8× 31 0.4× 107 1.7× 83 1.6× 47 560
Michael Kharouta United States 8 93 0.8× 36 0.4× 59 0.7× 67 1.0× 21 0.4× 34 321
Yangyang Wang China 11 37 0.3× 31 0.3× 67 0.8× 98 1.5× 39 0.8× 40 416
Constantine Theoharis United States 11 224 1.8× 251 2.6× 27 0.3× 124 1.9× 39 0.8× 15 616

Countries citing papers authored by Ju Won Seok

Since Specialization
Citations

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

Fields of papers citing papers by Ju Won Seok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Won Seok. 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 Ju Won Seok. The network helps show where Ju Won Seok may publish in the future.

Co-authorship network of co-authors of Ju Won Seok

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Won Seok. A scholar is included among the top collaborators of Ju Won Seok 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 Ju Won Seok. Ju Won Seok 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.
Kim, Jeong‐Min, Young‐Jin Moon, Sungguan Hong, et al.. (2025). Role of MicroRNAs in Thrombus and Future Vascular Events Among Patients With Stroke. Journal of Stroke. 27(3). 413–417. 1 indexed citations
2.
Seok, Ju Won, et al.. (2024). Poor sleep quality is associated with decreased regional brain glucose metabolism in healthy middle-aged adults. NeuroImage. 298. 120814–120814. 3 indexed citations
3.
Kim, Jeong‐Min, Yongsung Kim, Hae-Bong Jeong, et al.. (2023). Impact of Metabolic Activity of Vertebra and Amygdala on Stroke Recurrence: A Prospective Cohort Study. Circulation Cardiovascular Imaging. 16(1). e014544–e014544. 6 indexed citations
4.
Seok, Ju Won, Keunyoung Kim, Hye Young Kim, et al.. (2022). Effectiveness of prophylactic calcium and vitamin D supplementation for preventing post-thyroidectomy hypocalcemia: a meta-analysis. SHILAP Revista de lepidopterología. 37(3). 213–219. 1 indexed citations
5.
Lee, Han‐Byoel, Jin Chul Paeng, Hongyoon Choi, et al.. (2022). Association of androgen receptor expression with glucose metabolic features in triple-negative breast cancer. PLoS ONE. 17(9). e0275279–e0275279. 2 indexed citations
6.
Kim, Jeong‐Min, et al.. (2022). The uptake pattern of 18F-sodium fluoride radioligand in brain tissue after cerebral infarction. Scientific Reports. 12(1). 22543–22543. 1 indexed citations
7.
Pak, Kyoungjune, Ju Won Seok, Hyun‐Yeol Nam, et al.. (2021). The association of DAT gene methylation with striatal DAT availability in healthy subjects. EJNMMI Research. 11(1). 58–58. 5 indexed citations
8.
Suh, Sunghwan, Tae Sik Goh, Yun Hak Kim, et al.. (2020). Development and Validation of a Risk Scoring System Derived from Meta-Analyses of Papillary Thyroid Cancer. Endocrinology and Metabolism. 35(2). 435–442. 3 indexed citations
9.
Park, Song Ee, Jin Ho Hwang, Jin Hwa Choi, et al.. (2019). Incidence, Risk Factors, and Clinical Outcomes of Acute Kidney Injury Caused by Palliative Chemotherapy in Lung Cancer. Journal of Cancer. 10(22). 5332–5338. 9 indexed citations
10.
Pak, Kyoungjune, Ju Won Seok, Eun‐Joo Kim, et al.. (2018). Effect of rs3910105 in the Synuclein Gene on Dopamine Transporter Availability in Healthy Subjects. Yonsei Medical Journal. 59(6). 787–787. 3 indexed citations
11.
Kang, Hyun, Sang‐Wook Kim, Geun Joo Choi, et al.. (2015). Effect of Temperature-Sensitive Poloxamer Solution/Gel Material on Pericardial Adhesion Prevention: Supine Rabbit Model Study Mimicking Cardiac Surgery. PLoS ONE. 10(11). e0143359–e0143359. 13 indexed citations
12.
Jeon, Tae Joo, et al.. (2015). Variations in 18F-FDG uptake in breast cancer depending on PET/CT acquisition position. Clinical Radiology. 71(1). 86–91. 1 indexed citations
13.
Kim, Sang‐Wook, Gary S. Mintz, Wang Soo Lee, et al.. (2014). DICOM-based intravascular ultrasound signal intensity analysis. Coronary Artery Disease. 25(3). 236–241. 15 indexed citations
15.
Jo, Yunju, et al.. (2012). Gastric Emptying in Migraine: A Comparison With Functional Dyspepsia. Journal of Neurogastroenterology and Motility. 18(4). 412–418. 13 indexed citations
16.
Seok, Ju Won. (2011). How to Interpret Gastric Emptying Scintigraphy. Journal of Neurogastroenterology and Motility. 17(2). 189–191. 17 indexed citations
17.
Seok, Ju Won, Yoo Shin Choi, Semin Chong, et al.. (2010). Sentinel lymph node identification with radiopharmaceuticals in patients with breast cancer: a comparison of 99mTc-tin colloid and 99mTc-phytate efficiency. Breast Cancer Research and Treatment. 122(2). 453–457. 17 indexed citations
18.
Seok, Ju Won & In Ju Kim. (2008). Camparison of the Efficiency for Tc-99m Tin-colloid and Tc-99m Phytate in Sentinel Node Detection in Breast Cancer Patients. Nuclear Medicine and Molecular Imaging. 42(6). 451–455. 6 indexed citations
19.
Paeng, Jin Chul, et al.. (2008). Brain Neuroadaptative Changes in Adolescents with Internet Addiction. 19(1). 13–18. 1 indexed citations
20.
Seok, Ju Won, Seong Heon Kim, Sun Hee Lee, In Ju Kim, & Yong Ki Kim. (2002). Protein-Losing Enteropathy Detected on Tc-99m HSA and Tc-99m MDP Scintigraphy. Clinical Nuclear Medicine. 27(6). 431–433. 12 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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