Ji-Young Cha
Impact in
-
- Diet, Metabolism, and Disease
- Biochemistry top 2%
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Peroxisome Proliferator-Activated Receptors 6
- Surgery 19
- Cholesterol and Lipid Metabolism 11
- Pancreatic function and diabetes 8
- Co-authors
- Joyce J. Repa (3 shared papers)Yong‐Ho Ahn (11 shared papers)Ho-Jae Lee (13 shared papers)Kyung‐Sup Kim (6 shared papers)Jin-Sik Bae (8 shared papers)Ki Baik Hahm (5 shared papers)Hail Kim (4 shared papers)Seung‐Soon Im (7 shared papers)
- Journals
- BMB Reports (5 papers)Journal of Biological Chemistry (5 papers)International Journal of Molecular Sciences (4 papers)Scientific Reports (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Ji-Young Cha
70 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 558
- Biochemistry 215
- Pharmacology 174
- Molecular Biology 1.3k
- Surgery 739
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-authors
The 25 scholars most cited alongside Ji-Young Cha, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 390 | |
| 2 | 2014 | 179 | |
| 3 | 2004 | 153 | |
| 4 | 2005 | 140 | |
| 5 | 2011 | 132 | |
| 6 | 2019 | 122 | |
| 7 | 2014 | 106 | |
| 8 | 2000 | 106 | |
| 9 | 2019 | 99 | |
| 10 | 2008 | 80 | |
| 11 | 2000 | 80 | |
| 12 | 2002 | 77 | |
| 13 | 2009 | 74 | |
| 14 | 2012 | 70 | |
| 15 | 2008 | 60 | |
| 16 | 2018 | 59 | |
| 17 | 2019 | 55 | |
| 18 | 2008 | 54 | |
| 19 | 2012 | 52 | |
| 20 | 2020 | 50 |
About Ji-Young Cha
Ji-Young Cha is a scholar working on Molecular Biology, Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (8 papers), Pancreatic function and diabetes (8 papers), Fatty Acid Research and Health (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Lipid metabolism and biosynthesis (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (558 citations), Biochemistry (215 citations), Pharmacology (174 citations), Molecular Biology (1.3k citations) and Surgery (739 citations). Ji-Young Cha has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joyce J. Repa, Yong‐Ho Ahn, Ho-Jae Lee, Kyung‐Sup Kim, Jin-Sik Bae, Ki Baik Hahm, Hail Kim, Seung‐Soon Im, Ju‐Young Kim and Hyun Jeong Kwak. Their work appears in journals such as BMB Reports, Journal of Biological Chemistry, International Journal of Molecular Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.
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.