Ji-Young Cha
- Molecular Biology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Physiology top 10%
- Co-authors
- Joyce J. RepaYong‐Ho AhnHo-Jae LeeKyung‐Sup KimJin-Sik BaeSeung‐Soon ImKi Baik HahmHail Kim
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Cholesterol and Lipid Metabolism (11 papers)Diet, Metabolism, and Disease (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Ji-Young Cha
74 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.5k
- Surgery 805
- Endocrinology, Diabetes and Metabolism 588
- Epidemiology 526
- Physiology 365
Countries citing papers authored by Ji-Young Cha
This map shows the geographic impact of Ji-Young Cha'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 Ji-Young Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-Young Cha more than expected).
Fields of papers citing papers by Ji-Young Cha
This network shows the impact of papers produced by Ji-Young Cha. 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 Ji-Young Cha. The network helps show where Ji-Young Cha may publish in the future.
Co-authorship network of co-authors of Ji-Young Cha
This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Young Cha. A scholar is included among the top collaborators of Ji-Young Cha 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 Ji-Young Cha. Ji-Young Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 47 | |
| 8 | 115 | |
| 9 | 95 | |
| 10 | 34 | |
| 11 | 34 | |
| 12 | 27 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | Anti-inflammatory effect of sinomenine by inhibition of pro-inflammatory mediators in PMA plus A23187-stimulated HMC-1 Cells. | 13 |
| 16 | 90 | |
| 17 | 133 | |
| 18 | 3 | |
| 19 | A seroepidemiological study of anti-HAV IgG in korean combat policemen. | 1 |
| 20 | 35 |
About Ji-Young Cha
Ji-Young Cha is a scholar working on Biochemistry, Leadership and Management and Cancer Research, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Cholesterol and Lipid Metabolism (11 papers) and Diet, Metabolism, and Disease (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (588 citations), Biochemistry (227 citations) and Cancer Research (339 citations). Ji-Young Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Joyce J. Repa, Yong‐Ho Ahn, Ho-Jae Lee, Kyung‐Sup Kim, Jin-Sik Bae, Seung‐Soon Im, Ki Baik Hahm, Hail Kim, Jung‐Hye Shin and Ju‐Young Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.