Min-Jung Kim
- Health, Toxicology and Mutagenesis top 10%
- Pollution
- Statistics and Probability top 5%
- Molecular Biology
- Insect Science
- Co-authors
- Thomas JakiM. Lee Van HornJoon‐Ho LeeAndrea LamontDaniel J. FeasterJeroen K. VermuntChang‐Bum JeongIn Tag Yu
- Topics
- Insect-Plant Interactions and Control (6 papers)Statistical Methods and Bayesian Inference (5 papers)Forest Insect Ecology and Management (4 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Min-Jung Kim
30 papers receiving 367 citations
Peers
Comparison fields: 5 of 115
- Health, Toxicology and Mutagenesis 73
- Pollution 55
- Statistics and Probability 54
- Molecular Biology 38
- Insect Science 38
Countries citing papers authored by Min-Jung Kim
This map shows the geographic impact of Min-Jung 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 Min-Jung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Jung Kim more than expected).
Fields of papers citing papers by Min-Jung Kim
This network shows the impact of papers produced by Min-Jung 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 Min-Jung Kim. The network helps show where Min-Jung Kim may publish in the future.
Co-authorship network of co-authors of Min-Jung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Min-Jung Kim. A scholar is included among the top collaborators of Min-Jung 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 Min-Jung Kim. Min-Jung 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 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 34 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 94 | |
| 17 | A Study on the Inmate's Life Satisfaction in Elderly Care Facilities and its Impact Factors | 2 |
| 18 | 7 | |
| 19 | Mineralogical Changes Caused by the Weathering of Tailings Deposited on the Riverside of the Nakdong River, Bonghwa, Korea | 1 |
| 20 | Interaction of the Bacteriophage P2 Tin Protein and Bacteriophage T4 gp32 Protein Inhibites Growth of Bacteriophage T4 | 1 |
About Min-Jung Kim
Min-Jung Kim is a scholar working on Ecological Modeling, Statistics and Probability and Insect Science, having authored 38 papers that have together received 383 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Forest Insect Ecology and Management (4 papers). The work is most often cited by research in Statistics and Probability (54 citations), Ecological Modeling (27 citations) and Health, Toxicology and Mutagenesis (73 citations). Min-Jung Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Thomas Jaki, M. Lee Van Horn, Joon‐Ho Lee, Andrea Lamont, Daniel J. Feaster, Jeroen K. Vermunt, Chang‐Bum Jeong, In Tag Yu, Kyun‐Woo Lee and Jae‐Seong Lee. Their work appears in journals such as Scientific Reports, Environmental Pollution and Current Opinion in Biotechnology.
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.