Seong Young Kwon

1.2k total citations · 1 hit paper
86 papers, 804 citations indexed

About

Seong Young Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Seong Young Kwon has authored 86 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Seong Young Kwon's work include Medical Imaging Techniques and Applications (22 papers), Thyroid Cancer Diagnosis and Treatment (20 papers) and Radiopharmaceutical Chemistry and Applications (13 papers). Seong Young Kwon is often cited by papers focused on Medical Imaging Techniques and Applications (22 papers), Thyroid Cancer Diagnosis and Treatment (20 papers) and Radiopharmaceutical Chemistry and Applications (13 papers). Seong Young Kwon collaborates with scholars based in South Korea, United States and Bangladesh. Seong Young Kwon's co-authors include Jung‐Joon Min, Hee‐Seung Bom, Jahae Kim, Ho‐Chun Song, Su Woong Yoo, Jung-Joon Min, Sae‐Ryung Kang, Sang‐Geon Cho, Yeongjin Hong and Jinbae Son and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Seong Young Kwon

81 papers receiving 794 citations

Hit Papers

Exploiting bacteria for cancer immunotherapy 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exploiting bacteria for cancer immunotherapy
    2024 91 citations Seong Young Kwon, Jinbae Son et al. Nature Reviews Clinical Oncology profile →

Peers

Seong Young Kwon
Ari Chong South Korea
Alessio Annovazzi Italy
Ady Yosepovich Israel
Jiachang Chi China
Shinji Ozaki Japan
Lukas B. Been Netherlands
Daphne D. D. Rietbergen Netherlands
Mark Trombetta United States
Weibing Miao China
Ari Chong South Korea
Seong Young Kwon
Citations per year, relative to Seong Young Kwon Seong Young Kwon (= 1×) peers Ari Chong

Countries citing papers authored by Seong Young Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Seong Young Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong Young Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Seong Young Kwon. A scholar is included among the top collaborators of Seong Young 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 Seong Young Kwon. Seong Young 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
1.
Song, Ga‐Young, Seo-Yeon Ahn, Sung‐Hoon Jung, et al.. (2025). Prognostic Value of 18F-FDG PET in Primary Central Nervous System Lymphoma. Clinical Nuclear Medicine. 50(4). 281–288. 1 indexed citations
2.
3.
Kwon, Seong Young, et al.. (2024). Exploiting bacteria for cancer immunotherapy. Nature Reviews Clinical Oncology. 21(8). 569–589. 91 indexed citations breakdown →
4.
Jung, Sunghoon, et al.. (2024). Image Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review. Sensors. 24(24). 8068–8068. 3 indexed citations
5.
Pyo, Ayoung, et al.. (2023). Synthesis and evaluation of 18F-labeled procainamide as a PET imaging agent for malignant melanoma. Bioorganic & Medicinal Chemistry Letters. 96. 129528–129528. 2 indexed citations
6.
Seon, Hyun Ju, Su Woong Yoo, Changho Lee, et al.. (2022). Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT. Medicine. 101(5). e28764–e28764. 1 indexed citations
7.
Kim, Dong‐Yeon, Ayoung Pyo, Sung-Hwan You, et al.. (2022). In vivo imaging of invasive aspergillosis with 18F-fluorodeoxysorbitol positron emission tomography. Nature Communications. 13(1). 1926–1926. 21 indexed citations
8.
Kwon, Seong Young, et al.. (2022). Predictive Factors for Skip Lymph Node Metastasis and Their Implication on Recurrence in Papillary Thyroid Carcinoma. Biomedicines. 10(1). 179–179. 8 indexed citations
9.
Yoo, Su Woong, et al.. (2021). Multimodal Imaging-Based Potential Visualization of the Tumor Microenvironment in Bone Metastasis. Cells. 10(11). 2877–2877. 3 indexed citations
10.
11.
Yoo, Su Woong, Suhyun Park, Jin Young Kim, et al.. (2021). In Vivo Quantitative Vasculature Segmentation and Assessment for Photodynamic Therapy Process Monitoring Using Photoacoustic Microscopy. Sensors. 21(5). 1776–1776. 22 indexed citations
12.
Kwon, Seong Young, Eunjung Kong, Ari Chong, et al.. (2021). Clinical impact of radioactive iodine dose selection based on the number of metastatic lymph nodes in patients with papillary thyroid carcinoma: A multicenter retrospective cohort study. Clinical Endocrinology. 95(6). 901–908. 3 indexed citations
13.
Pyo, Ayoung, Dong‐Yeon Kim, Hee-Jung Kim, et al.. (2020). Ultrasensitive detection of malignant melanoma using PET molecular imaging probes. Proceedings of the National Academy of Sciences. 117(23). 12991–12999. 16 indexed citations
14.
Kim, Hee Kyung, Jee Hee Yoon, Jin Seong Cho, et al.. (2019). The clinical meaning of pre- and post-ablation thyroglobulin levels at first radioiodine therapy in patients with papillary thyroid cancer. The Korean Journal of Internal Medicine. 35(5). 1164–1172. 7 indexed citations
15.
Jung, Tae‐Young, Shin Jung, In‐Young Kim, et al.. (2019). Quantitative Feasibility Evaluation of <sup>11</sup>C-Methionine Positron Emission Tomography Images in Gamma Knife Radiosurgery : Phantom-Based Study and Clinical Application. Journal of Korean Neurosurgical Society. 62(4). 476–486. 2 indexed citations
16.
17.
Park, Hee Jeong, Jung‐Joon Min, Hee‐Seung Bom, et al.. (2017). Early stimulated thyroglobulin for response prediction after recombinant human thyrotropin-aided radioiodine therapy. Annals of Nuclear Medicine. 31(8). 616–622. 9 indexed citations
18.
Kim, Jahae, Sang‐Geon Cho, Sae‐Ryung Kang, et al.. (2017). Preparation for radioactive iodine therapy is not a risk factor for the development of hyponatremia in thyroid cancer patients. Medicine. 96(5). e6004–e6004. 6 indexed citations
19.
Cho, Sang‐Geon, Sae‐Ryung Kang, Jahae Kim, et al.. (2015). Correlation of Angina Pectoris and Perfusion Decrease by Collateral Circulation in Single-Vessel Coronary Chronic Total Occlusion Using Myocardial Perfusion Single-Photon Emission Computed Tomography. Nuclear Medicine and Molecular Imaging. 50(1). 54–62. 3 indexed citations
20.
Kwon, Seong Young, Ho‐Chun Song, Jung‐Joon Min, et al.. (2007). Correlation of Pre-treatment FDG Uptake to Therapeutic Response and Relapse in Patients with Small Cell Lung Cancer. Nuclear Medicine and Molecular Imaging. 41(6). 538–545. 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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