Jung‐Joon Min

7.7k total citations · 2 hit papers
193 papers, 5.9k citations indexed

About

Jung‐Joon Min is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biotechnology. According to data from OpenAlex, Jung‐Joon Min has authored 193 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Biomedical Engineering, 60 papers in Radiology, Nuclear Medicine and Imaging and 50 papers in Biotechnology. Recurrent topics in Jung‐Joon Min's work include Cancer Research and Treatments (50 papers), Nanoplatforms for cancer theranostics (47 papers) and Virus-based gene therapy research (37 papers). Jung‐Joon Min is often cited by papers focused on Cancer Research and Treatments (50 papers), Nanoplatforms for cancer theranostics (47 papers) and Virus-based gene therapy research (37 papers). Jung‐Joon Min collaborates with scholars based in South Korea, United States and China. Jung‐Joon Min's co-authors include Yeongjin Hong, Hyon E. Choy, Vu H. Nguyen, Hee‐Seung Bom, Mai T. Duong, Sung-Hwan You, Jin Zheng, Yeshan Qin, Seung‐Hwan Park and Ho‐Chun Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Jung‐Joon Min

191 papers receiving 5.8k citations

Hit Papers

Two-step enhanced cancer immunotherapy with engineered Sa... 2017 2026 2020 2023 2017 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung‐Joon Min South Korea 41 2.6k 2.3k 1.3k 1.0k 1.0k 193 5.9k
Ming Zhao United States 44 2.9k 1.1× 3.4k 1.5× 971 0.7× 352 0.3× 2.1k 2.1× 199 6.7k
Maja Čemažar Slovenia 54 5.0k 1.9× 7.7k 3.4× 2.8k 2.1× 681 0.7× 599 0.6× 319 10.9k
Katsuhiro Hayashi Japan 41 1.2k 0.5× 1.4k 0.6× 1.5k 1.1× 177 0.2× 1000 1.0× 314 6.3k
Steve R. Roffler Taiwan 42 905 0.4× 400 0.2× 3.4k 2.5× 975 1.0× 598 0.6× 168 6.1k
Michael Bouvet United States 63 5.1k 2.0× 6.4k 2.8× 3.6k 2.7× 700 0.7× 3.5k 3.4× 521 14.2k
Ramasamy Paulmurugan United States 53 2.9k 1.1× 286 0.1× 4.5k 3.4× 590 0.6× 580 0.6× 227 8.0k
Chae‐Ok Yun South Korea 54 1.0k 0.4× 1.0k 0.4× 5.4k 4.1× 257 0.3× 3.6k 3.6× 256 9.6k
Kurt R. Zinn United States 45 1.5k 0.6× 765 0.3× 2.6k 2.0× 1.6k 1.6× 1.2k 1.2× 203 7.1k
Ian C. MacDonald Canada 37 1.2k 0.5× 831 0.4× 3.4k 2.5× 687 0.7× 431 0.4× 70 8.7k
Hidde J. Haisma Netherlands 46 518 0.2× 385 0.2× 4.4k 3.3× 990 1.0× 1.6k 1.6× 171 7.2k

Countries citing papers authored by Jung‐Joon Min

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Joon Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Joon Min. 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 Jung‐Joon Min. The network helps show where Jung‐Joon Min may publish in the future.

Co-authorship network of co-authors of Jung‐Joon Min

This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Joon Min. A scholar is included among the top collaborators of Jung‐Joon Min 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 Jung‐Joon Min. Jung‐Joon Min 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.
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
3.
4.
Cho, Hee Jeong, Dong Won Baek, Ju-Hyung Kim, et al.. (2021). Favorable Long-Term Outcomes with Autologous Stem Cell Transplantation for High-Risk Multiple Myeloma Patients with a Positive Result On 18F-FDG PET/CT at Baseline. Clinical Lymphoma Myeloma & Leukemia. 22(2). 113–120. 1 indexed citations
5.
Jo, Jae‐Cheol, Yoo Jin Lee, Sang Eun Yoon, et al.. (2021). Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and 18F-FDG PET/CT. Blood Cancer Journal. 11(12). 190–190. 14 indexed citations
7.
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
8.
Kim, Jahae, et al.. (2020). Feasibility Study of Precise Balloon Catheter Tracking and Visualization with Fast Photoacoustic Microscopy. Sensors. 20(19). 5585–5585. 9 indexed citations
9.
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
10.
Cho, Haaglim, Seon Wook Kim, Jun-Hyeong Kim, et al.. (2018). Cancer-Stimulated CAFs Enhance Monocyte Differentiation and Protumoral TAM Activation via IL6 and GM-CSF Secretion. Clinical Cancer Research. 24(21). 5407–5421. 155 indexed citations
11.
Kim, Jin Kyung, Yi Sak Kim, Hye‐Mi Lee, et al.. (2018). GABAergic signaling linked to autophagy enhances host protection against intracellular bacterial infections. Nature Communications. 9(1). 4184–4184. 135 indexed citations
13.
Lee, Dong Yun, Jin Yong Kim, Yonghyun Lee, et al.. (2017). Black Pigment Gallstone Inspired Platinum‐Chelated Bilirubin Nanoparticles for Combined Photoacoustic Imaging and Photothermal Therapy of Cancers. Angewandte Chemie. 129(44). 13872–13876. 25 indexed citations
14.
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
15.
Lee, Dong Yun, Jin Yong Kim, Yonghyun Lee, et al.. (2017). Black Pigment Gallstone Inspired Platinum‐Chelated Bilirubin Nanoparticles for Combined Photoacoustic Imaging and Photothermal Therapy of Cancers. Angewandte Chemie International Edition. 56(44). 13684–13688. 80 indexed citations
16.
Kim, Kwang‐Soo, Jae‐Ho Jeong, Daejin Lim, et al.. (2013). A Novel Balanced-Lethal Host-Vector System Based on glmS. PLoS ONE. 8(3). e60511–e60511. 19 indexed citations
17.
Nguyen, Vu H., Hyung-Seok Kim, Jung‐Min Ha, et al.. (2009). Genetically Engineered Salmonella typhimurium as an Imageable Therapeutic Probe for Cancer. Cancer Research. 70(1). 18–23. 174 indexed citations
18.
Kim, Hyeon-Sik, et al.. (2009). Development of Quantification Method for Bioluminescence Imaging. Nuclear Medicine and Molecular Imaging. 43(5). 451–458.
19.
Lee, Byeong-Il, Hyeon-Sik Kim, Hye-Jin Jeong, et al.. (2009). Development of Optical Molecular Imaging System for the Acquisition of Bioluminescence Signals from Small Animals.. Nuclear Medicine and Molecular Imaging. 43(4). 344–351. 1 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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