Suna Kim
- Molecular Biology
- Physiology top 5%
- Epidemiology top 10%
- Geriatrics and Gerontology top 2%
- Biochemistry top 2%
- Co-authors
- Tae Youl HaJiyun AhnHyunjung LeeJaeho ParkDae‐Young KwonJi Yun AhnMyung Sook ChoiIn Koo Hwang
- Topics
- Adipose Tissue and Metabolism (5 papers)Sirtuins and Resveratrol in Medicine (4 papers)Human-Animal Interaction Studies (4 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Suna Kim
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 505
- Physiology 394
- Epidemiology 298
- Geriatrics and Gerontology 222
- Biochemistry 210
Countries citing papers authored by Suna Kim
This map shows the geographic impact of Suna 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 Suna Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suna Kim more than expected).
Fields of papers citing papers by Suna Kim
This network shows the impact of papers produced by Suna 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 Suna Kim. The network helps show where Suna Kim may publish in the future.
Co-authorship network of co-authors of Suna Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Suna Kim. A scholar is included among the top collaborators of Suna Kim 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 Suna Kim. Suna Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 13 | |
| 8 | 16 | |
| 9 | Renal Adenocarcinoma in a California Sea Lion (Zalophus Californianus) | 2 |
| 10 | 30 | |
| 11 | 80 | |
| 12 | [P6-03] Determination and pharmacokinetics of esculetin in rat plasma | 1 |
| 13 | 23 | |
| 14 | 148 | |
| 15 | 430 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Inhibition of Gap Junctional Intercellular Communication in Rat Liver Epithelial Cells Induced by BHT and Propyl Gallate | 1 |
| 19 | 76 | |
| 20 | Difference Between Postoperative Refraction and Predictive Refraction after Cataract Operation in Patients with Coexisting Cataract and Primary Angle-closure Glaucoma | 3 |
About Suna Kim
Suna Kim is a scholar working on Geriatrics and Gerontology, Small Animals and Behavioral Neuroscience, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Human-Animal Interaction Studies (4 papers). The work is most often cited by research in Geriatrics and Gerontology (222 citations), Biochemistry (210 citations) and Molecular Medicine (89 citations). Suna Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Tae Youl Ha, Jiyun Ahn, Hyunjung Lee, Jaeho Park, Dae‐Young Kwon, Ji Yun Ahn, Myung Sook Choi, In Koo Hwang, Wansoo Kim and Hyun‐Jung Lee. Their work appears in journals such as Cancer Research, The FASEB Journal 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.