Sun‐Hyung Kim
- Infectious Diseases top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Plant Science
- Epidemiology
- Co-authors
- Hee‐Sung KimYoung Ki ChoiSu-Jin ParkEun-Ha KimSe Mi KimHye Won JeongYoung‐Il KimJun Hyoung Kim
- Topics
- Traditional Chinese Medicine Studies (5 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers)Tuberculosis Research and Epidemiology (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sun‐Hyung Kim
35 papers receiving 462 citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 156
- Molecular Biology 88
- Pulmonary and Respiratory Medicine 83
- Plant Science 73
- Epidemiology 62
Countries citing papers authored by Sun‐Hyung Kim
This map shows the geographic impact of Sun‐Hyung 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 Sun‐Hyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Hyung Kim more than expected).
Fields of papers citing papers by Sun‐Hyung Kim
This network shows the impact of papers produced by Sun‐Hyung 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 Sun‐Hyung Kim. The network helps show where Sun‐Hyung Kim may publish in the future.
Co-authorship network of co-authors of Sun‐Hyung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Hyung Kim. A scholar is included among the top collaborators of Sun‐Hyung 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 Sun‐Hyung Kim. Sun‐Hyung 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 | 4 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 24 | |
| 18 | A Clinical Case of Liver Injury with Administration of Yeoldahanso-tang plus Rheum rhabarbarum | 2 |
| 19 | Anthropometric Facial Characteristics of Adult Tae-eumin of Northern and Southern Lineage in the Korean Peninsula | 6 |
| 20 | A Clinic Study of the Treatment for Asthma in Taeumin with RBBB(Right Bundle Branch Block) | 0 |
About Sun‐Hyung Kim
Sun‐Hyung Kim is a scholar working on Complementary and alternative medicine, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 44 papers that have together received 481 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (156 citations), General Dentistry (15 citations) and Modeling and Simulation (24 citations). Sun‐Hyung Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hee‐Sung Kim, Young Ki Choi, Su-Jin Park, Eun-Ha Kim, Se Mi Kim, Hye Won Jeong, Young‐Il Kim, Jun Hyoung Kim, Yoon Mi Shin and Kang Hyeon Choe. Their work appears in journals such as PLoS ONE, 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.