Dong-Jun Koo
Impact in
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Nanoplatforms for cancer theranostics
Papers in
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- 3D Printing in Biomedical Research 3
- Nanoplatforms for cancer theranostics 2
- Molecular Communication and Nanonetworks 1
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- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Sung‐Yon Kim (6 shared papers)Dal‐Hee Min (3 shared papers)Seongchan Kim (3 shared papers)Noo Li Jeon (2 shared papers)James Yu (1 shared paper)Hyojin Lee (2 shared papers)Joon Myong Song (1 shared paper)Somin Lee (1 shared paper)
- Journals
- Science Advances (2 papers)Bioconjugate Chemistry (1 paper)ACS Nano (1 paper)BMC Medical Ethics (1 paper)Neuron (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Dong-Jun Koo
7 papers receiving 155 citations
Peers
Comparison fields: 5 of 47
- Health Informatics 8
- Biomedical Engineering 94
- Endocrine and Autonomic Systems 12
- Oncology 41
- Biophysics 8
Countries citing papers authored by Dong-Jun Koo
This map shows the geographic impact of Dong-Jun Koo'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 Dong-Jun Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Jun Koo more than expected).
Fields of papers citing papers by Dong-Jun Koo
This network shows the impact of papers produced by Dong-Jun Koo. 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 Dong-Jun Koo. The network helps show where Dong-Jun Koo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong-Jun Koo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2022 | 39 | |
| 3 | 2021 | 24 | |
| 4 | 2020 | 14 | |
| 5 | Deep learning-based diagnosis of lung cancer using a nationwide respiratory cytology image set: improving accuracy and inter-observer variability. | 2023 | 12 |
| 6 | 2023 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2025 | 0 |
About Dong-Jun Koo
Dong-Jun Koo is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 156 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Nanoplatforms for cancer theranostics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Circadian rhythm and melatonin (1 paper), Cancer Research and Treatments (1 paper) and Molecular Communication and Nanonetworks (1 paper). The work is most often cited by research in Health Informatics (8 citations), Biomedical Engineering (94 citations), Endocrine and Autonomic Systems (12 citations), Oncology (41 citations) and Biophysics (8 citations). Dong-Jun Koo has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sung‐Yon Kim, Dal‐Hee Min, Seongchan Kim, Noo Li Jeon, James Yu, Hyojin Lee, Joon Myong Song, Somin Lee, Jihoon Ko and Minjae Kim. Their work appears in journals such as Science Advances, Bioconjugate Chemistry, ACS Nano, BMC Medical Ethics and Neuron.
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.