Eun Na Kim
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Physiology
- Pediatrics, Perinatology and Child Health top 10%
- Epidemiology
- Co-authors
- Chong Jai KimMi‐Na KweonSung Wook HwangTae‐Young KimSeungil KimSu-Hyun LeeYong‐Soo LeeYeji Kim
- Topics
- Pregnancy and preeclampsia studies (7 papers)Reproductive System and Pregnancy (4 papers)Genomics and Rare Diseases (3 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyThe Journal of Immunology
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Eun Na Kim
42 papers receiving 553 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 161
- Pulmonary and Respiratory Medicine 124
- Physiology 98
- Pediatrics, Perinatology and Child Health 93
- Epidemiology 91
Countries citing papers authored by Eun Na Kim
This map shows the geographic impact of Eun Na 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 Na 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 Na Kim more than expected).
Fields of papers citing papers by Eun Na Kim
This network shows the impact of papers produced by Eun Na 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 Na Kim. The network helps show where Eun Na Kim may publish in the future.
Co-authorship network of co-authors of Eun Na Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Eun Na Kim. A scholar is included among the top collaborators of Eun Na 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 Na Kim. Eun Na 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | 63 | |
| 18 | 41 | |
| 19 | 9 | |
| 20 | 10 |
About Eun Na Kim
Eun Na Kim is a scholar working on Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 46 papers that have together received 562 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (4 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Obstetrics and Gynecology (79 citations), Pediatrics, Perinatology and Child Health (93 citations) and Pulmonary and Respiratory Medicine (124 citations). Eun Na Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chong Jai Kim, Mi‐Na Kweon, Sung Wook Hwang, Tae‐Young Kim, Seungil Kim, Su-Hyun Lee, Yong‐Soo Lee, Yeji Kim, Bo Hyun Yoon and Hyun Ju Yoo. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology 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.