Hye‐Soon Kim
- Epidemiology top 10%
- Molecular Biology
- Physiology top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- In‐Kyu LeeKeun‐Gyu ParkJoong‐Yeol ParkJung‐Guk KimYoon-Nyun KimHye‐Young SeoKi-Up LeeMi-Kyung Kim
- Topics
- Health and Wellbeing Research (6 papers)Liver Disease Diagnosis and Treatment (5 papers)Adipose Tissue and Metabolism (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hye‐Soon Kim
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Epidemiology 333
- Molecular Biology 315
- Physiology 262
- Surgery 236
- Endocrinology, Diabetes and Metabolism 199
Countries citing papers authored by Hye‐Soon Kim
This map shows the geographic impact of Hye‐Soon 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 Hye‐Soon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye‐Soon Kim more than expected).
Fields of papers citing papers by Hye‐Soon Kim
This network shows the impact of papers produced by Hye‐Soon 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 Hye‐Soon Kim. The network helps show where Hye‐Soon Kim may publish in the future.
Co-authorship network of co-authors of Hye‐Soon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hye‐Soon Kim. A scholar is included among the top collaborators of Hye‐Soon 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 Hye‐Soon Kim. Hye‐Soon 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 | 3 | |
| 3 | 64 | |
| 4 | 15 | |
| 5 | 23 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 52 | |
| 9 | p16 INK4A promoter hypermethylation and expression of p16 INK4A , cyclin D1, and Rb in papillary thyroid carcinoma | 0 |
| 10 | Effect of Humorous Video Tape on Depression and Stress Response in Patients Undergoing Hemodialysis | 4 |
| 11 | 50 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | Migrant Brides and Making of a Multicultural Society Sociological Approach to Recent Discourse on “Multicultural Korea” | 17 |
| 15 | 19 | |
| 16 | 21 | |
| 17 | 23 | |
| 18 | The Effects of Clinical Practice in School on Clinical Competence in Nurse | 1 |
| 19 | 10 | |
| 20 | Endothelial dysfunction: its relationship with acute hyperglycaemia and hyperlipidemia. | 66 |
About Hye‐Soon Kim
Hye‐Soon Kim is a scholar working on Leadership and Management, Biochemistry and Immunology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Health and Wellbeing Research (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Leadership and Management (20 citations), Biochemistry (114 citations) and Endocrine and Autonomic Systems (82 citations). Hye‐Soon Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include In‐Kyu Lee, Keun‐Gyu Park, Joong‐Yeol Park, Jung‐Guk Kim, Yoon-Nyun Kim, Hye‐Young Seo, Ki-Up Lee, Mi-Kyung Kim, Mi Kyung Kim and Kyeong‐Min Lee. Their work appears in journals such as PLoS ONE, Diabetes 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.