Jung‐Joon Min

7.7k citations
193 papers · 5.9k indexed · 2 hit papers · h-index 41

Jung‐Joon Min

191 papers receiving 5.8k citations

Hit Papers

Two-step enhanced cancer immunotherapy with engineered Sa...201720262020202320172019100200300400

Peers

Jung‐Joon Min
Comparison fields: 5 of 139
  • Biomedical Engineering 2.6k
  • Biotechnology 2.3k
  • Molecular Biology 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Genetics 1.0k
Replace Ming Zhao with:
Ming Zhao United States
Nicole Beauchemin Canada
Ramasamy Paulmurugan United States
Κωνσταντίνος Κωνσταντόπουλος United States
Hidde J. Haisma Netherlands
Michael Bouvet United States
Chae‐Ok Yun South Korea
Ian C. MacDonald Canada
Timo L.M. ten Hagen Netherlands
Bruce A. Sullenger United States
Jung‐Joon Min relative to Ming Zhao United States Ming Zhao's profile →
Citations per field
00.5×2.9×
Ming Zhao · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 4
4 1
5 14
6 1
7 22
8 9
9 16
10 155
11 135
12 7
13 25
14 9
15 80
16 19
17 174
18
Development of Quantification Method for Bioluminescence Imaging
0
19
Development of Optical Molecular Imaging System for the Acquisition of Bioluminescence Signals from Small Animals.
1
20
Correlation of Pre-treatment FDG Uptake to Therapeutic Response and Relapse in Patients with Small Cell Lung Cancer
1

About Jung‐Joon Min

Jung‐Joon Min is a scholar working on Biotechnology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 193 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cancer Research and Treatments (50 papers), Nanoplatforms for cancer theranostics (47 papers) and Virus-based gene therapy research (37 papers). The work is most often cited by research in Biotechnology (2.3k citations), Biomedical Engineering (2.6k citations) and Radiology, Nuclear Medicine and Imaging (1.0k citations). Jung‐Joon Min has collaborated with scholars based in South Korea, United States and China. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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