C. S. Chung
- Endocrinology, Diabetes and Metabolism top 5%
- Animal Science and Zoology top 2%
- Physiology top 10%
- Genetics
- Molecular Biology
- Co-authors
- Terry D. EthertonJ. P. WigginsChristina M. EvockP. E. WaltonJohn F. RebhunSang Hoon ChoiM. K. SongMi Kyoung Song
- Topics
- Metabolism, Diabetes, and Cancer (5 papers)Growth Hormone and Insulin-like Growth Factors (5 papers)Adipose Tissue and Metabolism (4 papers)
- Partner nations
- United StatesChina
In The Last Decade
C. S. Chung
8 papers receiving 486 citations
Peers
Comparison fields: 5 of 48
- Endocrinology, Diabetes and Metabolism 222
- Animal Science and Zoology 216
- Physiology 191
- Genetics 153
- Molecular Biology 140
Countries citing papers authored by C. S. Chung
This map shows the geographic impact of C. S. Chung'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 C. S. Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. S. Chung more than expected).
Fields of papers citing papers by C. S. Chung
This network shows the impact of papers produced by C. S. Chung. 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 C. S. Chung. The network helps show where C. S. Chung may publish in the future.
Co-authorship network of co-authors of C. S. Chung
This figure shows the co-authorship network connecting the top 25 collaborators of C. S. Chung. A scholar is included among the top collaborators of C. S. Chung 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 C. S. Chung. C. S. Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effects of age and feeding level of concentrates on adipose tissue lipogenesis and adipocyte size in Hanwoo bulls. | 6 |
| 2 | Effect of feeding levels of concentrates on the growth performance and fatty acid composition of adipose tissues at various locations in Hanwoo steers. | 5 |
| 3 | Concentrations of circulating insulin-like growth factor-I (IGF-I) and IGF-binding protein-3 (IGFBP-3) in growing gilts and barrows: purification of porcine IGFBP-3, development of IGFBP-3 and IGF-I RIAs and their utilization. | 4 |
| 4 | 95 | |
| 5 | 53 | |
| 6 | 147 | |
| 7 | 200 | |
| 8 | 42 |
About C. S. Chung
C. S. Chung is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Physiology, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Animal Science and Zoology (216 citations), Endocrinology, Diabetes and Metabolism (222 citations) and Agronomy and Crop Science (96 citations). C. S. Chung has collaborated with scholars based in United States and China. Frequent co-authors include Terry D. Etherton, J. P. Wiggins, Christina M. Evock, P. E. Walton, John F. Rebhun, Sang Hoon Choi, M. K. Song, Mi Kyoung Song and Jongkyeong Chung. Their work appears in journals such as Journal of Lipid Research, Journal of Animal Science and Domestic Animal Endocrinology.
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.