Sangmi Jun
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Structural Biology top 5%
Papers in
-
- Extracellular vesicles in disease 3
-
- Luminescence and Fluorescent Materials 3
- Co-authors
- Seung Il Kim (12 shared papers)Edmond Changkyun Park (8 shared papers)Chang‐Seop Lee (6 shared papers)Mi Jeong Kim (3 shared papers)Keun Bon Ku (2 shared papers)Seong‐Jun Kim (2 shared papers)Bum‐Tae Kim (2 shared papers)Giwan Seo (2 shared papers)
- Journals
- Scientific Reports (4 papers)Advanced Functional Materials (3 papers)Clinical Proteomics (2 papers)Biochemistry (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Sangmi Jun
48 papers receiving 2.5k citations
Sangmi Jun's Hit Papers
Peers
Comparison fields: 5 of 128
- Infectious Diseases 1.1k
- Structural Biology 72
- Biomedical Engineering 1.1k
- Bioengineering 104
- Microbiology 95
Countries citing papers authored by Sangmi Jun
This map shows the geographic impact of Sangmi Jun'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 Sangmi Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangmi Jun more than expected).
Fields of papers citing papers by Sangmi Jun
This network shows the impact of papers produced by Sangmi Jun. 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 Sangmi Jun. The network helps show where Sangmi Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sangmi Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor Hit paper breakdown → | 2020 | 1524 |
| 2 | 2007 | 212 | |
| 3 | 2011 | 82 | |
| 4 | 2018 | 80 | |
| 5 | 2020 | 55 | |
| 6 | 2007 | 54 | |
| 7 | 2009 | 50 | |
| 8 | 2015 | 42 | |
| 9 | 2020 | 35 | |
| 10 | 2006 | 35 | |
| 11 | 2016 | 34 | |
| 12 | 2019 | 28 | |
| 13 | 2019 | 26 | |
| 14 | 2020 | 23 | |
| 15 | 2024 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 2019 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2014 | 18 | |
| 20 | 2021 | 18 |
About Sangmi Jun
Sangmi Jun is a scholar working on Molecular Biology, Materials Chemistry, Structural Biology, Epidemiology and Physiology, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (8 papers), Alzheimer's disease research and treatments (5 papers), Supramolecular Self-Assembly in Materials (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Vector-borne infectious diseases (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Extracellular vesicles in disease (3 papers) and Luminescence and Fluorescent Materials (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Structural Biology (72 citations), Biomedical Engineering (1.1k citations), Bioengineering (104 citations) and Microbiology (95 citations). Sangmi Jun has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Seung Il Kim, Edmond Changkyun Park, Chang‐Seop Lee, Mi Jeong Kim, Keun Bon Ku, Seong‐Jun Kim, Bum‐Tae Kim, Giwan Seo, Seung-Hwa Baek and Jeong‐O Lee. Their work appears in journals such as Scientific Reports, Advanced Functional Materials, Clinical Proteomics, Biochemistry and International Journal of Molecular Sciences.
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.