Mingon Kang
- Health Informatics top 5%
-
- Cancer-related molecular mechanisms research 4
- Artificial Intelligence top 5%
- AI in cancer detection 4
-
- Radiomics and Machine Learning in Medical Imaging 4
-
- Bioinformatics and Genomic Networks 22
- Gene expression and cancer classification 21
- Gene Regulatory Network Analysis 9
-
- Ferroptosis and cancer prognosis 4
-
- ECG Monitoring and Analysis 4
- Co-authors
- Euiseong KoTesfaye B. MershaJie HaoYoung Soon KimJung Hun OhJean GaoStephen W. LagakosTae-Kyung Kim
- Journals
- Briefings in Bioinformatics (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)International Journal of Environmental Research and Public Health (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Mingon Kang
63 papers receiving 963 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Health Informatics 29
- Cancer Research 118
- Artificial Intelligence 246
- Radiology, Nuclear Medicine and Imaging 176
- Molecular Biology 457
Countries citing papers authored by Mingon Kang
This map shows the geographic impact of Mingon Kang'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 Mingon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingon Kang more than expected).
Fields of papers citing papers by Mingon Kang
This network shows the impact of papers produced by Mingon Kang. 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 Mingon Kang. The network helps show where Mingon Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingon Kang, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 44 | |
| 16 | 2018 | 76 | |
| 17 | 2016 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 1 | |
| 20 | 2006 | 46 |
About Mingon Kang
Mingon Kang is a scholar working on Aging, Molecular Biology and Genetics, having authored 68 papers that have together received 984 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (22 papers), Gene expression and cancer classification (21 papers), Gene Regulatory Network Analysis (9 papers), Ferroptosis and cancer prognosis (4 papers), Cancer-related molecular mechanisms research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), ECG Monitoring and Analysis (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (29 citations), Cancer Research (118 citations) and Artificial Intelligence (246 citations). Mingon Kang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Euiseong Ko, Tesfaye B. Mersha, Jie Hao, Young Soon Kim, Jung Hun Oh, Jean Gao, Stephen W. Lagakos, Tae-Kyung Kim, Hyun Min Koh and Chunyu Liu. Their work appears in journals such as Briefings in Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, International Journal of Environmental Research and Public Health, Bioinformatics and IEEE Access.
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.