Han‐Na Kim
- Molecular Biology top 10%
- Epidemiology top 10%
- Physiology top 10%
- Genetics
- Surgery
- Co-authors
- Hyung‐Lae KimYoosoo ChangSeungho RyuHocheol ShinYeojun YunJuhee ChoKyung Eun YunMin‐Jung Kwon
- Topics
- Gut microbiota and health (24 papers)Genetic Associations and Epidemiology (8 papers)Clostridium difficile and Clostridium perfringens research (8 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Han‐Na Kim
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 763
- Epidemiology 379
- Physiology 270
- Genetics 167
- Surgery 137
Countries citing papers authored by Han‐Na Kim
This map shows the geographic impact of Han‐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 Han‐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 Han‐Na Kim more than expected).
Fields of papers citing papers by Han‐Na Kim
This network shows the impact of papers produced by Han‐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 Han‐Na Kim. The network helps show where Han‐Na Kim may publish in the future.
Co-authorship network of co-authors of Han‐Na Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Na Kim. A scholar is included among the top collaborators of Han‐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 Han‐Na Kim. Han‐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 | 2 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 30 | |
| 15 | 68 | |
| 16 | A Study on impact of childhood experiences with domestic violence, childhood abuse, recognizing the seriousness of the harm experienced child abuse, child care teachers: focus on moderating effects of abuse prevention training | 1 |
| 17 | 8 | |
| 18 | 11 | |
| 19 | Ultra Wide-Field Angiographic Characteristics of Fellow Eyes in Branch Retinal Vein Occlusion | 0 |
| 20 | Allergenicity Assessment of Cry Proteins in Insect-resistant Genetically Modified Maize Bt11, MON810, and MON863 | 5 |
About Han‐Na Kim
Han‐Na Kim is a scholar working on Leadership and Management, Biological Psychiatry and Genetics, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gut microbiota and health (24 papers), Genetic Associations and Epidemiology (8 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Gastroenterology (65 citations) and Molecular Biology (763 citations). Han‐Na Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hyung‐Lae Kim, Yoosoo Chang, Seungho Ryu, Hocheol Shin, Yeojun Yun, Juhee Cho, Kyung Eun Yun, Min‐Jung Kwon, Eunkyo Park and Soo Jung Kim. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.