Nan Hee Kim
- Physiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Co-authors
- Kyung Mook ChoiSin Gon KimJi A SeoSei Hyun BaikDong Seop ChoiHye Jin YooNam Hoon KimMin Suk Rhee
- Topics
- Diabetes Treatment and Management (39 papers)Liver Disease Diagnosis and Treatment (39 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Nan Hee Kim
327 papers receiving 10.4k citations
Peers
Comparison fields: 5 of 178
- Physiology 3.0k
- Endocrinology, Diabetes and Metabolism 2.8k
- Epidemiology 2.7k
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 1.7k
Countries citing papers authored by Nan Hee Kim
This map shows the geographic impact of Nan Hee 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 Nan Hee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Hee Kim more than expected).
Fields of papers citing papers by Nan Hee Kim
This network shows the impact of papers produced by Nan Hee 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 Nan Hee Kim. The network helps show where Nan Hee Kim may publish in the future.
Co-authorship network of co-authors of Nan Hee Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Nan Hee Kim. A scholar is included among the top collaborators of Nan Hee 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 Nan Hee Kim. Nan Hee 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 | 1 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 44 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 111 | |
| 14 | 42 | |
| 15 | 59 | |
| 16 | 35 | |
| 17 | 94 | |
| 18 | A case of autoimmune insulin syndrome | 3 |
| 19 | Relations between Insulin Resistance and Hematologic Parameters in Elderly Koreans: Southwest Seoul (SWS) Study. | 10 |
| 20 | Prevalence of Obesity and Correlation Between Obesity and Dyslipidemia in Elderly Population in South-West Seoul | 2 |
About Nan Hee Kim
Nan Hee Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Nephrology, having authored 337 papers that have together received 10.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (39 papers), Liver Disease Diagnosis and Treatment (39 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Physiology (3.0k citations) and Geriatrics and Gerontology (335 citations). Nan Hee Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kyung Mook Choi, Sin Gon Kim, Ji A Seo, Sei Hyun Baik, Dong Seop Choi, Hye Jin Yoo, Nam Hoon Kim, Min Suk Rhee, Sae Jeong Yang and Soon Young Hwang. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Hepatology.
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.