Jeong‐a Kim
Impact in
- Biochemistry top 1%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Vibrio bacteria research studies 9
- Physiology 18
- Adipose Tissue and Metabolism 10
- Co-authors
- Michael J. QuonMonica MontagnaniKwang Kon KohJames R. SowersYongzhong WeiDaniel HwangHyun-Ju JangSeung Hwan Han
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (7 papers)Diabetes (4 papers)Journal of Biological Chemistry (4 papers)Scientific Reports (3 papers)Journal of Bacteriology (3 papers)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Jeong‐a Kim
87 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Biochemistry 514
- Endocrinology, Diabetes and Metabolism 1.0k
- Physiology 1.5k
- Cardiology and Cardiovascular Medicine 1.1k
- Biological Psychiatry 87
Countries citing papers authored by Jeong‐a Kim
This map shows the geographic impact of Jeong‐a 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 Jeong‐a Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong‐a Kim more than expected).
Fields of papers citing papers by Jeong‐a Kim
This network shows the impact of papers produced by Jeong‐a 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 Jeong‐a Kim. The network helps show where Jeong‐a Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeong‐a Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 8 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 30 | |
| 11 | 2016 | 179 | |
| 12 | 2014 | 73 | |
| 13 | 2014 | 6 | |
| 14 | 2013 | 161 | |
| 15 | 2007 | 55 | |
| 16 | 2007 | 187 | |
| 17 | Assessment of In Vitro Assay System for Thyroid Hormone Disruptors Using Rat Pituitary GH₃ Cells | 2006 | 1 |
| 18 | Statistical Discriminant Analysis on the Driving Ability of the Brain-injured | 2005 | 2 |
| 19 | 2005 | 66 | |
| 20 | 2001 | 99 |
About Jeong‐a Kim
Jeong‐a Kim is a scholar working on Endocrinology, Physiology, Biochemistry, Immunology and Endocrinology, Diabetes and Metabolism, having authored 93 papers that have together received 5.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (10 papers), Vibrio bacteria research studies (9 papers), Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Bacterial biofilms and quorum sensing (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Tea Polyphenols and Effects (5 papers). The work is most often cited by research in Biochemistry (514 citations), Endocrinology, Diabetes and Metabolism (1.0k citations), Physiology (1.5k citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Biological Psychiatry (87 citations). Jeong‐a Kim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Michael J. Quon, Monica Montagnani, Kwang Kon Koh, James R. Sowers, Yongzhong Wei, Daniel Hwang, Hyun-Ju Jang, Seung Hwan Han, Maria Assunta Potenza and Joo Young Lee. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Journal of Biological Chemistry, Scientific Reports and Journal of Bacteriology.
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.