Eun‐Sook Kim
- Molecular Biology top 10%
- Immunology top 5%
- Oncology top 10%
- Cancer Research top 5%
- Plant Science top 10%
- Co-authors
- Aree MoonMi-Sung KimJeon‐Soo ShinYoung Joo OhJu Ho YounJi Eun ChoiYong-Yoon ChungGothandam Kodiveri Muthukaliannan
- Topics
- Protease and Inhibitor Mechanisms (8 papers)Cell Adhesion Molecules Research (8 papers)TGF-β signaling in diseases (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Eun‐Sook Kim
82 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.2k
- Immunology 470
- Oncology 412
- Cancer Research 402
- Plant Science 248
Countries citing papers authored by Eun‐Sook Kim
This map shows the geographic impact of Eun‐Sook 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 Eun‐Sook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Sook Kim more than expected).
Fields of papers citing papers by Eun‐Sook Kim
This network shows the impact of papers produced by Eun‐Sook 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 Eun‐Sook Kim. The network helps show where Eun‐Sook Kim may publish in the future.
Co-authorship network of co-authors of Eun‐Sook Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Sook Kim. A scholar is included among the top collaborators of Eun‐Sook 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 Eun‐Sook Kim. Eun‐Sook 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 | 3 | |
| 2 | 6 | |
| 3 | 28 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 51 | |
| 7 | The Analysis of Causal Relationship among Sports Participation Level, Self-regulation, Physical Self-concept, Emotion, and School Life Satisfaction in Adolescents | 2 |
| 8 | 26 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | Burden and Social Support of Mothers with Cerebral Palsy Children | 3 |
| 14 | 12 | |
| 15 | Clinical Data Analysis of 106 Breast Cancer Patients Who Received Oriental Medical Treatment. | 3 |
| 16 | Multiple Patterns of Reduplication in Nuuchahnulth: A Templatic Approach | 1 |
| 17 | 199 | |
| 18 | Spontaneous Subcapsular Hematoma of the Liver in a Patient on Maintenance Hemodialysis | 0 |
| 19 | 54 | |
| 20 | Analysis and suggestions for elementary textbooks based on the elementary students' understanding of electric circuits | 1 |
About Eun‐Sook Kim
Eun‐Sook Kim is a scholar working on Immunology and Allergy, Cancer Research and Molecular Biology, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Cell Adhesion Molecules Research (8 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Sensory Systems (179 citations), Clinical Biochemistry (196 citations) and Cancer Research (402 citations). Eun‐Sook Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Aree Moon, Mi-Sung Kim, Jeon‐Soo Shin, Young Joo Oh, Ju Ho Youn, Ji Eun Choi, Yong-Yoon Chung, Gothandam Kodiveri Muthukaliannan, Yeowon Sohn and Yunha Kim. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.
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.