Eun‐Mi Kim
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
- Immunology 18
- Immune Cell Function and Interaction 8
- Co-authors
- Hae‐Chul ParkHwan‐Jeong JeongTaek Soon LeeJay D. KeaslingJae‐Hyung JangIn‐Kyu ParkHyung‐Sik KangChong‐Su Cho
- Journals
- Scientific Reports (3 papers)Fish & Shellfish Immunology (3 papers)International Journal of Molecular Sciences (3 papers)Molecules and Cells (2 papers)ACS Omega (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Eun‐Mi Kim
107 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 152
- Nuclear Energy and Engineering 13
- Immunology 389
- Molecular Biology 1.2k
- Biomaterials 203
- Developmental Neuroscience 63
Countries citing papers authored by Eun‐Mi Kim
This map shows the geographic impact of Eun‐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 Eun‐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 Eun‐Mi Kim more than expected).
Fields of papers citing papers by Eun‐Mi Kim
This network shows the impact of papers produced by Eun‐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 Eun‐Mi Kim. The network helps show where Eun‐Mi Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eun‐Mi Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 0 | |
| 5 | Investigation of the effect of Lacca Sinica Exsiccata water extract on myoblast differentiation | 2020 | 1 |
| 6 | 2020 | 5 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 0 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 86 | |
| 12 | 2012 | 44 | |
| 13 | 2011 | 35 | |
| 14 | 2008 | 1 | |
| 15 | 2008 | 21 | |
| 16 | Optimization of the Processing Parameters for Green Banana Chips and Packaging within Polyethylene Bags | 2007 | 4 |
| 17 | 2007 | 61 | |
| 18 | Development of screening method for highly enriched peptides toward a multiple LPS using epoxy bead | 2005 | 0 |
| 19 | Screening of microorganism that have hydolysis activity to aglycon PPD(S) from the Compound K using MALDI-MS | 2004 | 0 |
| 20 | 2002 | 108 |
About Eun‐Mi Kim
Eun‐Mi Kim is a scholar working on Developmental Neuroscience, Immunology, Biochemistry, Molecular Biology and Cell Biology, having authored 114 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (13 papers), Immune Cell Function and Interaction (8 papers), Zebrafish Biomedical Research Applications (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Pluripotent Stem Cells Research (5 papers), Tea Polyphenols and Effects (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Nuclear Energy and Engineering (13 citations), Immunology (389 citations), Molecular Biology (1.2k citations), Biomaterials (203 citations) and Developmental Neuroscience (63 citations). Eun‐Mi Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hae‐Chul Park, Hwan‐Jeong Jeong, Taek Soon Lee, Jay D. Keasling, Jae‐Hyung Jang, In‐Kyu Park, Hyung‐Sik Kang, Chong‐Su Cho, Hyo Sung Jung and Jong Seung Kim. Their work appears in journals such as Scientific Reports, Fish & Shellfish Immunology, International Journal of Molecular Sciences, Molecules and Cells and ACS Omega.
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.