Hye‐Yeon Kim
- Molecular Biology
- Epidemiology
- Oncology
- Microbiology top 5%
- Molecular Medicine top 5%
- Co-authors
- Kwang Yeon HwangKyuwon BaekYunje ChoMin‐Ho ShinJe Chul LeeSeung Il KimSun‐Seog KweonChi-Won Choi
- Topics
- Antibiotic Resistance in Bacteria (8 papers)Bacterial Genetics and Biotechnology (7 papers)Cardiovascular Health and Disease Prevention (7 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Hye‐Yeon Kim
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 597
- Epidemiology 154
- Oncology 144
- Microbiology 144
- Molecular Medicine 132
Countries citing papers authored by Hye‐Yeon Kim
This map shows the geographic impact of Hye‐Yeon 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‐Yeon 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‐Yeon Kim more than expected).
Fields of papers citing papers by Hye‐Yeon Kim
This network shows the impact of papers produced by Hye‐Yeon 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‐Yeon Kim. The network helps show where Hye‐Yeon Kim may publish in the future.
Co-authorship network of co-authors of Hye‐Yeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hye‐Yeon Kim. A scholar is included among the top collaborators of Hye‐Yeon 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‐Yeon Kim. Hye‐Yeon 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 19 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | A Study on Variables related to Positive and Negative Peer Interactions of Young Children | 5 |
| 16 | A Study on the Characteristics of Healing Space of Children Medical Facilities -Focused on the behavioral affordance based on the theory of Rudolf Steiner and Max L $\ddot{u}$ scher | 1 |
| 17 | The Trends and Causes of Income Inequality Among Gender | 1 |
| 18 | Association between Metabolic Syndrome and Depression in Community-dwelling Adults | 2 |
| 19 | 138 | |
| 20 | Isolation of Glucose Utilizing Mutant of Alcaligenes eutrophus, its Substrate Selectivity, and Accumulation of Poly-β-hydroxybutyrate | 14 |
About Hye‐Yeon Kim
Hye‐Yeon Kim is a scholar working on Molecular Medicine, Leadership and Management and Microbiology, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Bacterial Genetics and Biotechnology (7 papers) and Cardiovascular Health and Disease Prevention (7 papers). The work is most often cited by research in Molecular Medicine (132 citations), Microbiology (144 citations) and Endocrinology (66 citations). Hye‐Yeon Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Kwang Yeon Hwang, Kyuwon Baek, Yunje Cho, Min‐Ho Shin, Je Chul Lee, Seung Il Kim, Sun‐Seog Kweon, Chi-Won Choi, Young Hoon Lee and Jeong Soon Park. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.
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.