Hyun-Mi Kim
- Plant Science top 5%
- Molecular Biology
- Materials Chemistry
- Epidemiology
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- In Sun YoonHyunsik HwangPilje KimEunhye JoSukchan LeeKyunghee ChoiSang-Dong YooSung Chul Lee
- Topics
- Animal Disease Management and Epidemiology (7 papers)Antimicrobial agents and applications (6 papers)Influenza Virus Research Studies (4 papers)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Hyun-Mi Kim
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Plant Science 485
- Molecular Biology 405
- Materials Chemistry 185
- Epidemiology 138
- Health, Toxicology and Mutagenesis 107
Countries citing papers authored by Hyun-Mi Kim
This map shows the geographic impact of Hyun-Mi 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 Hyun-Mi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun-Mi Kim more than expected).
Fields of papers citing papers by Hyun-Mi Kim
This network shows the impact of papers produced by Hyun-Mi 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 Hyun-Mi Kim. The network helps show where Hyun-Mi Kim may publish in the future.
Co-authorship network of co-authors of Hyun-Mi Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun-Mi Kim. A scholar is included among the top collaborators of Hyun-Mi 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 Hyun-Mi Kim. Hyun-Mi 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 | 86 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 62 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | Real-Time PCR for Validation of Minute Virus of Mice Safety during the Manufacture of Mammalian Cell Culture-Derived Biopharmaceuticals | 2 |
| 14 | 12 | |
| 15 | 22 | |
| 16 | 80 | |
| 17 | Estimation of Multimedia Environmental Distribution for Benzoyl peroxide Using EQC Model | 0 |
| 18 | Predictor of Fatty Liver in Obese Children | 1 |
| 19 | Synthesis and Biological Evaluation of New Aminothiazolyl Cephalosporins with Elongated Side Chains | 1 |
| 20 | Risk Assessment of Iron dichloride in OECD High Production Volume Chemicals Program | 2 |
About Hyun-Mi Kim
Hyun-Mi Kim is a scholar working on Structural Biology, Agronomy and Crop Science and Aging, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (7 papers), Antimicrobial agents and applications (6 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Plant Science (485 citations), Pharmacology (94 citations) and Health, Toxicology and Mutagenesis (107 citations). Hyun-Mi Kim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include In Sun Yoon, Hyunsik Hwang, Pilje Kim, Eunhye Jo, Sukchan Lee, Kyunghee Choi, Sang-Dong Yoo, Sung Chul Lee, Beom-Gi Kim and Jae‐Gook Shin. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.
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.