Chan Yeong Kim
- Molecular Biology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Co-authors
- Insuk LeeSunmo YangHyojin KimMuyoung LeeHyeon-Nae JeonHeonjong HanMichael ChungByunghee Kang
- Topics
- Bioinformatics and Genomic Networks (8 papers)Genomics and Phylogenetic Studies (7 papers)Gut microbiota and health (5 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Chan Yeong Kim
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.3k
- Cancer Research 338
- Immunology 234
- Pulmonary and Respiratory Medicine 202
- Oncology 146
Countries citing papers authored by Chan Yeong Kim
This map shows the geographic impact of Chan Yeong 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 Chan Yeong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Yeong Kim more than expected).
Fields of papers citing papers by Chan Yeong Kim
This network shows the impact of papers produced by Chan Yeong 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 Chan Yeong Kim. The network helps show where Chan Yeong Kim may publish in the future.
Co-authorship network of co-authors of Chan Yeong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Chan Yeong Kim. A scholar is included among the top collaborators of Chan Yeong 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 Chan Yeong Kim. Chan Yeong 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 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 47 | |
| 5 | 65 | |
| 6 | 78 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 146 | |
| 10 | TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactionsbreakdown → | 1238 |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 81 | |
| 14 | 17 | |
| 15 | 28 | |
| 16 | 24 | |
| 17 | 61 | |
| 18 | 13 |
About Chan Yeong Kim
Chan Yeong Kim is a scholar working on Molecular Biology, Molecular Medicine and Endocrinology, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (7 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Cancer Research (338 citations), Molecular Biology (1.3k citations) and Immunology (234 citations). Chan Yeong Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Insuk Lee, Sunmo Yang, Hyojin Kim, Muyoung Lee, Hyeon-Nae Jeon, Heonjong Han, Michael Chung, Byunghee Kang, Sangyoung Lee and Sung‐Ho Lee. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.
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.