Hye-Na Cha
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- Adipose Tissue and Metabolism
Papers in
- Physiology 10
- Adipose Tissue and Metabolism 9
- Biochemical effects in animals 3
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- Metabolism, Diabetes, and Cancer 3
- Redox biology and oxidative stress 3
- Co-authors
- So‐Young Park (19 shared papers)Jong‐Yeon Kim (8 shared papers)Yong‐Woon Kim (9 shared papers)Eun Ju Bae (3 shared papers)Byung‐Hyun Park (3 shared papers)Mi-Kyung Kim (2 shared papers)Sun‐O Ka (1 shared paper)Youngyi Lee (1 shared paper)
- Journals
- Experimental & Molecular Medicine (3 papers)Journal of Pharmacological Sciences (2 papers)Diabetes (2 papers)Experimental Gerontology (1 paper)Gastroenterology (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Hye-Na Cha
19 papers receiving 409 citations
Peers
Comparison fields: 5 of 69
- Geriatrics and Gerontology 64
- Physiology 120
- Rehabilitation 19
- Physiology 14
- Biochemistry 22
Countries citing papers authored by Hye-Na Cha
This map shows the geographic impact of Hye-Na 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 Hye-Na Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye-Na Cha more than expected).
Fields of papers citing papers by Hye-Na Cha
This network shows the impact of papers produced by Hye-Na 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 Hye-Na Cha. The network helps show where Hye-Na Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Hye-Na 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2014 | 52 | |
| 3 | 2019 | 37 | |
| 4 | 2010 | 30 | |
| 5 | 2015 | 26 | |
| 6 | 2016 | 20 | |
| 7 | 2010 | 20 | |
| 8 | 2009 | 20 | |
| 9 | 2023 | 17 | |
| 10 | 2019 | 14 | |
| 11 | 2011 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2009 | 7 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 1 |
About Hye-Na Cha
Hye-Na Cha is a scholar working on Physiology, Molecular Biology, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 409 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Exercise and Physiological Responses (3 papers), Biochemical effects in animals (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Redox biology and oxidative stress (3 papers), Pancreatic function and diabetes (3 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Geriatrics and Gerontology (64 citations), Physiology (120 citations), Rehabilitation (19 citations), Physiology (14 citations) and Biochemistry (22 citations). Hye-Na Cha has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include So‐Young Park, Jong‐Yeon Kim, Yong‐Woon Kim, Eun Ju Bae, Byung‐Hyun Park, Mi-Kyung Kim, Sun‐O Ka, Youngyi Lee, Jinmyoung Dan and Myun-Whan Ahn. Their work appears in journals such as Experimental & Molecular Medicine, Journal of Pharmacological Sciences, Diabetes, Experimental Gerontology and Gastroenterology.
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.