Jun Seok Kim
- Molecular Biology
- Physiology
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Biomedical Engineering
- Co-authors
- Seung‐Hoi KooGeon KangHye-Sook HanJun‐Geol BaekY. Y. LeeCheolju LeeHee‐Sung AhnJi Eun Lee
- Topics
- Advanced Statistical Process Monitoring (4 papers)Advanced Statistical Methods and Models (3 papers)RNA modifications and cancer (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Jun Seok Kim
20 papers receiving 859 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 379
- Physiology 166
- Epidemiology 141
- Endocrinology, Diabetes and Metabolism 135
- Biomedical Engineering 114
Countries citing papers authored by Jun Seok Kim
This map shows the geographic impact of Jun Seok 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 Jun Seok Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Seok Kim more than expected).
Fields of papers citing papers by Jun Seok Kim
This network shows the impact of papers produced by Jun Seok 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 Jun Seok Kim. The network helps show where Jun Seok Kim may publish in the future.
Co-authorship network of co-authors of Jun Seok Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Seok Kim. A scholar is included among the top collaborators of Jun Seok Kim 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 Jun Seok Kim. Jun Seok Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | Regulation of glucose metabolism from a liver-centric perspectivebreakdown → | 577 |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 29 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 24 | |
| 11 | 74 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | Optimization of Ammonia Percolation Process for Ethanol Production from Miscanthus Sinensis | 14 |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 57 |
About Jun Seok Kim
Jun Seok Kim is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Pollution, having authored 20 papers that have together received 883 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (4 papers), Advanced Statistical Methods and Models (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (135 citations), Physiology (166 citations) and Molecular Biology (379 citations). Jun Seok Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Seung‐Hoi Koo, Geon Kang, Hye-Sook Han, Jun‐Geol Baek, Y. Y. Lee, Cheolju Lee, Hee‐Sung Ahn, Ji Eun Lee, Sang–Hyoun Kim and Soo Min Cho. Their work appears in journals such as PLoS ONE, Food Chemistry and International Journal of Hydrogen Energy.
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.