Hyun Woo Kwon

1.0k total citations
46 papers, 708 citations indexed

About

Hyun Woo Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, Hyun Woo Kwon has authored 46 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 9 papers in Oncology. Recurrent topics in Hyun Woo Kwon's work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cardiovascular Disease and Adiposity (5 papers). Hyun Woo Kwon is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cardiovascular Disease and Adiposity (5 papers). Hyun Woo Kwon collaborates with scholars based in South Korea, Japan and Ethiopia. Hyun Woo Kwon's co-authors include Keon Wook Kang, Jin Chul Paeng, Jeong Won Lee, June‐Key Chung, Gi Jeong Cheon, Myung Chul Lee, Soon‐Beom Kang, Hyun Hoon Chung, Dong Soo Lee and Noh-Hyun Park and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Marine Ecology Progress Series.

In The Last Decade

Hyun Woo Kwon

43 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyun Woo Kwon South Korea 14 231 147 143 113 96 46 708
Jae Seon Eo South Korea 19 449 1.9× 147 1.0× 114 0.8× 236 2.1× 131 1.4× 55 902
Megumu Hino Japan 18 117 0.5× 145 1.0× 210 1.5× 147 1.3× 150 1.6× 68 1.1k
Hirotaka Katoh Japan 13 131 0.6× 89 0.6× 235 1.6× 164 1.5× 38 0.4× 54 918
Kiyoto Ashizawa Japan 22 202 0.9× 32 0.2× 158 1.1× 139 1.2× 200 2.1× 51 1.6k
Tom Moore United Kingdom 16 143 0.6× 79 0.5× 301 2.1× 243 2.2× 399 4.2× 26 1.3k
Noritoshi Nishiyama Japan 19 96 0.4× 75 0.5× 211 1.5× 519 4.6× 301 3.1× 104 1.0k
Anupam Mondal India 16 389 1.7× 21 0.1× 176 1.2× 181 1.6× 75 0.8× 83 845
Jeong Soo Kim South Korea 22 202 0.9× 27 0.2× 530 3.7× 174 1.5× 298 3.1× 128 1.4k
Y. Gandon France 23 283 1.2× 208 1.4× 321 2.2× 133 1.2× 62 0.6× 79 1.8k
Fumihiro Ogawa Japan 19 39 0.2× 54 0.4× 246 1.7× 292 2.6× 220 2.3× 74 1.0k

Countries citing papers authored by Hyun Woo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyun Woo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Woo Kwon. 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 Hyun Woo Kwon. The network helps show where Hyun Woo Kwon may publish in the future.

Co-authorship network of co-authors of Hyun Woo Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Woo Kwon. A scholar is included among the top collaborators of Hyun Woo Kwon 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 Hyun Woo Kwon. Hyun Woo Kwon 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
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Pahk, Kisoo, et al.. (2023). Chronic physical exercise alleviates stress-associated amygdala metabolic activity in obese women: A prospective serial 18F-FDG PET/CT study. Frontiers in Endocrinology. 13. 1046838–1046838. 6 indexed citations
3.
Youk, Jeonghwan, Jeong Yeon Kim, Jung Woo Park, et al.. (2023). Widespread somatic L1 retrotransposition in normal colorectal epithelium. Nature. 617(7961). 540–547. 26 indexed citations
4.
Pahk, Kisoo, Hyun Woo Kwon, Jeong Seok Yeo, & Sungeun Kim. (2023). ASSESSMENT OF MACROPHAGE INFLAMMATORY ACTIVITY ON VISCERAL ADIPOSE TISSUE IN HIGH-FAT DIET-INDUCED OBESE MICE BY 18F- FDG PET/CT. Journal of Hypertension. 41(Suppl 3). e280–e281. 1 indexed citations
5.
Lee, Hyo Sang, Hyun Woo Kwon, Seok‐Byung Lim, et al.. (2022). FDG metabolic parameter-based models for predicting recurrence after upfront surgery in synchronous colorectal cancer liver metastasis. European Radiology. 33(3). 1746–1756.
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Kwon, Hyun Woo, Jeong Hyeon Lee, Kisoo Pahk, Kyong Hwa Park, & Sungeun Kim. (2021). Clustering subtypes of breast cancer by combining immunohistochemistry profiles and metabolism characteristics measured using FDG PET/CT. Cancer Imaging. 21(1). 55–55. 13 indexed citations
8.
Seo, Jieun, Chorong Lee, Jin Chul Paeng, et al.. (2020). Biallelic mutations in ABCB1 display recurrent reversible encephalopathy. Annals of Clinical and Translational Neurology. 7(8). 1443–1449. 5 indexed citations
9.
Jo, Seong Jin, Seung‐Yong Jeong, Hyun Woo Kwon, et al.. (2019). Effects of quorum quenching on temporal succession of activated sludge microbial community in a membrane bioreactor. Journal of Applied Microbiology. 128(3). 907–918. 4 indexed citations
10.
Pahk, Kisoo, et al.. (2019). Prognostic Value of Metabolic Information in Advanced Gastric Cancer Using Preoperative 18F-FDG PET/CT. Nuclear Medicine and Molecular Imaging. 53(6). 386–395. 7 indexed citations
11.
Choi, Joon Young, Jin Chul Paeng, Yong Il Kim, et al.. (2019). Composite criteria using clinical and FDG PET/CT factors for predicting recurrence of hepatocellular carcinoma after living donor liver transplantation. European Radiology. 29(11). 6009–6017. 17 indexed citations
12.
Kwon, Hyun Woo, et al.. (2018). Preoperative Nodal 18F-FDG Avidity Rather than Primary Tumor Avidity Determines the Prognosis of Patients with Advanced Gastric Cancer. Journal of the Korean Gastric Cancer Association. 18(3). 218–218. 7 indexed citations
13.
14.
Hwang, Do Won, Hyun Woo Kwon, Jaeho Jang, et al.. (2017). Neuron-Specific Fluorescence Reporter-Based Live Cell Tracing for Transdifferentiation of Mesenchymal Stem Cells into Neurons by Chemical Compound. Stem Cells International. 2017. 1–10. 7 indexed citations
15.
Kwon, Hyun Woo, Sang Mi Lee, Sang Mi Lee, et al.. (2017). Association between volume and glucose metabolism of abdominal adipose tissue in healthy population. Obesity Research & Clinical Practice. 11(5). 133–143. 15 indexed citations
16.
Kwon, Hyun Woo, Jin Chul Paeng, Jae Sung Lee, et al.. (2016). Radiation Dose from Whole-Body F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography: Nationwide Survey in Korea. Journal of Korean Medical Science. 31(Suppl 1). S69–S69. 38 indexed citations
17.
Park, Seongyeol, Seunggyun Ha, Hyun Woo Kwon, et al.. (2016). Prospective Evaluation of Changes in Tumor Size and Tumor Metabolism in Patients with Advanced Gastric Cancer Undergoing Chemotherapy: Association and Clinical Implication. Journal of Nuclear Medicine. 58(6). 899–904. 21 indexed citations
18.
Kwon, Hyun Woo, Ho‐Young Lee, Young‐Hwan Hwang, et al.. (2016). Diagnostic performance of 18F-FDG-labeled white blood cell PET/CT for cyst infection in patients with autosomal dominant polycystic kidney disease. Nuclear Medicine Communications. 37(5). 493–498. 11 indexed citations
19.
Chung, Hyun Hoon, Hyun Woo Kwon, Keon Wook Kang, et al.. (2011). Prognostic Value of Preoperative Metabolic Tumor Volume and Total Lesion Glycolysis in Patients with Epithelial Ovarian Cancer. Annals of Surgical Oncology. 19(6). 1966–1972. 117 indexed citations
20.
Lee, Jeong Won, Jin Chul Paeng, Keon Wook Kang, et al.. (2009). Prediction of Tumor Recurrence by 18F-FDG PET in Liver Transplantation for Hepatocellular Carcinoma. Journal of Nuclear Medicine. 50(5). 682–687. 133 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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