Sun Young Chae

779 total citations
30 papers, 471 citations indexed

About

Sun Young Chae is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sun Young Chae has authored 30 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pathology and Forensic Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sun Young Chae's work include Medical Imaging Techniques and Applications (9 papers), Cardiac Imaging and Diagnostics (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Sun Young Chae is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Cardiac Imaging and Diagnostics (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Sun Young Chae collaborates with scholars based in South Korea, United States and Nigeria. Sun Young Chae's co-authors include Dae Hyuk Moon, Byung Ho Son, Seung Jun Oh, Jungsu S. Oh, Sang Ju Lee, Sangwon Han, Shyam K. Sharan, Jong Won Lee, Hyo Sang Lee and Hee Jung Kim and has published in prestigious journals such as Journal of the American College of Cardiology, NeuroImage and Cancer Research.

In The Last Decade

Sun Young Chae

29 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sun Young Chae South Korea	12	181	156	126	101	84	30	471
Jing Ye China	12	123 0.7×	76 0.5×	139 1.1×	161 1.6×	30 0.4×	36	454
Lei Yan China	13	247 1.4×	48 0.3×	125 1.0×	151 1.5×	151 1.8×	40	616
Yukito Maeda Japan	12	259 1.4×	128 0.8×	67 0.5×	91 0.9×	28 0.3×	45	508
Jenni Virta Finland	12	106 0.6×	42 0.3×	127 1.0×	68 0.7×	44 0.5×	31	390
Carine Strup-Perrot France	12	149 0.8×	55 0.4×	160 1.3×	72 0.7×	91 1.1×	14	441
Mart A. A. M. Heesters Netherlands	8	186 1.0×	69 0.4×	104 0.8×	98 1.0×	97 1.2×	10	472
Sunday S. Oladipupo United States	10	67 0.4×	76 0.5×	227 1.8×	41 0.4×	40 0.5×	13	497
Harry R. Haynes United Kingdom	13	64 0.4×	74 0.5×	163 1.3×	97 1.0×	101 1.2×	32	455
Melinda Wu United States	13	67 0.4×	47 0.3×	87 0.7×	35 0.3×	85 1.0×	25	497
Paulo Linhares Portugal	15	57 0.3×	135 0.9×	135 1.1×	60 0.6×	95 1.1×	45	579

Countries citing papers authored by Sun Young Chae

Since Specialization

Citations

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

Fields of papers citing papers by Sun Young Chae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Young Chae. 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 Sun Young Chae. The network helps show where Sun Young Chae may publish in the future.

Co-authorship network of co-authors of Sun Young Chae

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

All Works

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20 of 20 papers shown

Park, Byung-Soo, Sangwon Han, Jungsu S. Oh, et al.. (2024). Deep learning-based measurement of split glomerular filtration rate with 99mTc-diethylenetriamine pentaacetic acid renal scan. EJNMMI Physics. 11(1). 64–64. 1 indexed citations

Han, Sangwon, Sae Byul Lee, Gyungyub Gong, et al.. (2023). Prognostic significance of pretreatment 18F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with T2N1 hormone receptor-positive, ERBB2-negative breast cancer who underwent adjuvant chemotherapy. Breast Cancer Research and Treatment. 198(2). 207–215. 3 indexed citations

Seo, Minjung, Yeji Kim, Byong Duk Ye, et al.. (2022). PET Imaging of System x_C⁻ in Immune Cells for Assessment of Disease Activity in Mice and Patients with Inflammatory Bowel Disease. Journal of Nuclear Medicine. 63(10). 1586–1591. 6 indexed citations

Chae, Sun Young, Hyo Sang Lee, Jin‐Hee Ahn, et al.. (2022). Association between tumor 18F-fluorodeoxyglucose metabolism and survival in women with estrogen receptor-positive, HER2-negative breast cancer. Scientific Reports. 12(1). 7858–7858. 5 indexed citations

Hong, Gil-Sun, Eun Jin Chae, Jin‐Sook Ryu, et al.. (2021). Assessment of naive indolent lymphoma using whole-body diffusion-weighted imaging and T2-weighted MRI: results of a prospective study in 30 patients. Cancer Imaging. 21(1). 5–5. 6 indexed citations

Kim, Jayoung, et al.. (2020). Prognostic Factors of Quantitative Lymphoscintigraphic Findings in Patients with Breast Cancer-Related Lymphedema. Lymphatic Research and Biology. 18(5). 400–405. 4 indexed citations

Chae, Sun Young, Dong Yun Lee, Jungsu S. Oh, et al.. (2020). Comparison of diagnostic sensitivity of [18F]fluoroestradiol and [18F]fluorodeoxyglucose positron emission tomography/computed tomography for breast cancer recurrence in patients with a history of estrogen receptor-positive primary breast cancer. EJNMMI Research. 10(1). 54–54. 26 indexed citations

Chae, Sun Young, Tae‐Won Kwon, Sun U. Kwon, et al.. (2019). A phase 1, first-in-human study of 18F-GP1 positron emission tomography for imaging acute arterial thrombosis. EJNMMI Research. 9(1). 28 indexed citations

Kim, Jwa Hoon, Sun Young Kim, Kyu‐pyo Kim, et al.. (2019). Regorafenib-Induced Hypothyroidism as a Predictive Marker for Improved Survival in Metastatic or Unresectable Colorectal Cancer Refractory to Standard Therapies: A Prospective Single-Center Study. Targeted Oncology. 14(6). 689–697. 5 indexed citations

10.

Lee, Dong Yun, et al.. (2019). Value of the Filtration Fraction Assessed by Dynamic 99mTc-Diethylenetriaminepentaacetic Acid Renal Scintigraphy After Angiotensin-Converting Enzyme Inhibition for the Diagnosis of Renovascular Hypertension. Nuclear Medicine and Molecular Imaging. 53(4). 270–277.

11.

Kim, Jeong Eun, Sun Young Chae, Jwa Hoon Kim, et al.. (2019). 3′-Deoxy-3’-18F-Fluorothymidine and 18F-Fluorodeoxyglucose positron emission tomography for the early prediction of response to Regorafenib in patients with metastatic colorectal cancer refractory to all standard therapies. European Journal of Nuclear Medicine and Molecular Imaging. 46(8). 1713–1722. 9 indexed citations

12.

Kim, Sinae, Eun‐Ji Lee, Sun-Young Jung, et al.. (2018). microRNA-155 positively regulates glucose metabolism via PIK3R1-FOXO3a-cMYC axis in breast cancer. Oncogene. 37(22). 2982–2991. 112 indexed citations

13.

Chae, Sun Young, Jun Ho Jang, Geun Ho Im, et al.. (2018). Physical exercise enhances adult cortical plasticity in a neonatal rat model of hypoxic-ischemic injury: Evidence from BOLD-fMRI and electrophysiological recordings. NeuroImage. 188. 335–346. 8 indexed citations

14.

Lee, Sang Ju, Seung Jun Oh, Sun Young Chae, et al.. (2017). [18F]fluorothymidine PET Informs the Synergistic Efficacy of Capecitabine and Trifluridine/Tipiracil in Colon Cancer. Cancer Research. 77(24). 7120–7130. 6 indexed citations

15.

Song, Sang Hoon, et al.. (2017). Predictors of Renal Functional Improvement After Pyeloplasty in Ureteropelvic Junction Obstruction: Clinical Value of Visually Assessed Renal Tissue Tracer Transit in 99m Tc-mercaptoacetyltriglycine Renography. Urology. 108. 149–154. 13 indexed citations

16.

Chae, Sun Young, Sung‐Bae Kim, Sei Hyun Ahn, et al.. (2016). A Randomized Feasibility Study of ¹⁸F-Fluoroestradiol PET to Predict Pathologic Response to Neoadjuvant Therapy in Estrogen Receptor–Rich Postmenopausal Breast Cancer. Journal of Nuclear Medicine. 58(4). 563–568. 44 indexed citations

17.

Lee, Suk Hyun, Sangwon Han, Hyo Sang Lee, et al.. (2015). Association Between 18F-FDG Avidity and the BRAF Mutation in Papillary Thyroid Carcinoma. Nuclear Medicine and Molecular Imaging. 50(1). 38–45. 14 indexed citations

18.

Chae, Sun Young, Hye Ok Kim, Minyoung Oh, et al.. (2014). Evaluation of Selective Positron Emission Tomography Template Method for Spatial Normalization of Amyloid Imaging With 11C-Pittsburgh Compound B. Journal of Computer Assisted Tomography. 38(6). 924–929. 4 indexed citations

19.

Chae, Sun Young, Youngsun Kim, Min Jung Park, et al.. (2014). High-Intensity Focused Ultrasound-Induced, Localized Mild Hyperthermia to Enhance Anti-cancer Efficacy of Systemic Doxorubicin: An Experimental Study. Ultrasound in Medicine & Biology. 40(7). 1554–1563. 8 indexed citations

20.

Park, Min Jung, et al.. (2012). Pulsed High-Intensity Focused Ultrasound Therapy Enhances Targeted Delivery of Cetuximab to Colon Cancer Xenograft Model in Mice. Ultrasound in Medicine & Biology. 39(2). 292–299. 9 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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