Junghi Kim
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Gut microbiota and health 2
- Genetics 7
- Genetic Associations and Epidemiology 7
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Wei Pan (11 shared papers)Xiaotong Shen (2 shared papers)Peng Wei (2 shared papers)Yiwei Zhang (1 shared paper)Yun Zhu Bai (1 shared paper)Chong Wu (2 shared papers)Jun Chen (1 shared paper)Bryon A. Mueller (2 shared papers)
- Journals
- Genetic Epidemiology (3 papers)Genetics (2 papers)NeuroImage (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Electronics Letters (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Junghi Kim
21 papers receiving 458 citations
Peers
Comparison fields: 5 of 68
- Genetics 183
- Statistics and Probability 51
- Cognitive Neuroscience 81
- Radiology, Nuclear Medicine and Imaging 54
- Molecular Biology 165
Countries citing papers authored by Junghi Kim
This map shows the geographic impact of Junghi Kim'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 Junghi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junghi Kim more than expected).
Fields of papers citing papers by Junghi Kim
This network shows the impact of papers produced by Junghi Kim. 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 Junghi Kim. The network helps show where Junghi Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Junghi Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 129 | |
| 2 | 2016 | 56 | |
| 3 | 2015 | 52 | |
| 4 | 2014 | 38 | |
| 5 | 2016 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2014 | 23 | |
| 8 | 2013 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2015 | 16 | |
| 12 | 1988 | 8 | |
| 13 | 1986 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2010 | 4 | |
| 17 | 1989 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2020 | 1 |
About Junghi Kim
Junghi Kim is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 464 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (5 papers), Functional Brain Connectivity Studies (5 papers), Gene expression and cancer classification (4 papers), Neural dynamics and brain function (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Gut microbiota and health (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Genetics (183 citations), Statistics and Probability (51 citations), Cognitive Neuroscience (81 citations), Radiology, Nuclear Medicine and Imaging (54 citations) and Molecular Biology (165 citations). Junghi Kim has collaborated with scholars based in United States and South Korea. Frequent co-authors include Wei Pan, Xiaotong Shen, Peng Wei, Yiwei Zhang, Yun Zhu Bai, Chong Wu, Jun Chen, Bryon A. Mueller, Jeffrey R. Wozniak and Yiwei Zhang. Their work appears in journals such as Genetic Epidemiology, Genetics, NeuroImage, The Journal of Clinical Endocrinology & Metabolism and Electronics Letters.
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.