Mi Sun Jin
Impact in
- Immunology top 1%
- Immune Response and Inflammation
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
Papers in
-
- Protein purification and stability 13
- Viral Infectious Diseases and Gene Expression in Insects 10
- Enzyme function and inhibition 5
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- Monoclonal and Polyclonal Antibodies Research 12
- Co-authors
- Jie‐Oh LeeHayyoung LeeSang‐Gi PaikHo Min KimSung Eun KimJin Young HeoFred W. McLaffertyXuemei Han
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Biotechnology and Bioengineering (3 papers)Molecules and Cells (3 papers)Scientific Reports (3 papers)Nature Communications (3 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Mi Sun Jin
65 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 1.9k
- Microbiology 530
- Molecular Biology 2.0k
- Spectroscopy 489
- Cancer Research 324
Countries citing papers authored by Mi Sun Jin
This map shows the geographic impact of Mi Sun Jin'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 Mi Sun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Sun Jin more than expected).
Fields of papers citing papers by Mi Sun Jin
This network shows the impact of papers produced by Mi Sun Jin. 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 Mi Sun Jin. The network helps show where Mi Sun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Sun Jin, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 48 | |
| 9 | 2022 | 16 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 21 | |
| 13 | 2018 | 5 | |
| 14 | 2017 | 17 | |
| 15 | 2014 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2012 | 386 | |
| 18 | 2009 | 134 | |
| 19 | Recognition of Lipopeptide Patterns by Toll-like Receptor 2-Toll-like Receptor 6 Heterodimer Hit paper breakdown → | 2009 | 606 |
| 20 | 2006 | 263 |
About Mi Sun Jin
Mi Sun Jin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Microbiology and Endocrinology, having authored 70 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protein purification and stability (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Drug Transport and Resistance Mechanisms (6 papers), Immune Response and Inflammation (6 papers), Enzyme function and inhibition (5 papers), Advanced Proteomics Techniques and Applications (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (1.9k citations), Microbiology (530 citations), Molecular Biology (2.0k citations), Spectroscopy (489 citations) and Cancer Research (324 citations). Mi Sun Jin has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jie‐Oh Lee, Hayyoung Lee, Sang‐Gi Paik, Ho Min Kim, Sung Eun Kim, Jin Young Heo, Fred W. McLafferty, Xuemei Han, Kathrin Breuker and Michael L. Oldham. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biotechnology and Bioengineering, Molecules and Cells, Scientific Reports and Nature Communications.
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.