Yu Mi Kwon
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Bacterial Genetics and Biotechnology
Papers in
-
- Advanced Biosensing Techniques and Applications 2
- Molecular Biology Techniques and Applications 2
-
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Cheolju Lee (11 shared papers)Sungho Shin (4 shared papers)Kang-Sik Park (2 shared papers)Jeongmin Lee (1 shared paper)Jong Wook Chang (1 shared paper)Jae‐Hoon Jeong (2 shared papers)Suk‐Joo Choi (1 shared paper)Sa Ik Bang (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)International Journal of Molecular Sciences (2 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)Eye (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Yu Mi Kwon
27 papers receiving 413 citations
Peers
Comparison fields: 5 of 81
- Genetics 85
- Endocrinology 17
- Spectroscopy 55
- Molecular Biology 183
- Urology 15
Countries citing papers authored by Yu Mi Kwon
This map shows the geographic impact of Yu Mi Kwon'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 Yu Mi Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Mi Kwon more than expected).
Fields of papers citing papers by Yu Mi Kwon
This network shows the impact of papers produced by Yu Mi Kwon. 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 Yu Mi Kwon. The network helps show where Yu Mi Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Mi Kwon, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 136 | |
| 2 | 2019 | 42 | |
| 3 | 2008 | 25 | |
| 4 | 2020 | 21 | |
| 5 | 2022 | 19 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2017 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2006 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2009 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2022 | 4 |
About Yu Mi Kwon
Yu Mi Kwon is a scholar working on Molecular Biology, Spectroscopy, Genetics, Infectious Diseases and Epidemiology, having authored 27 papers that have together received 419 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (5 papers), Tuberculosis Research and Epidemiology (4 papers), Bacterial Genetics and Biotechnology (4 papers), Mycobacterium research and diagnosis (3 papers), Trace Elements in Health (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Genetics (85 citations), Endocrinology (17 citations), Spectroscopy (55 citations), Molecular Biology (183 citations) and Urology (15 citations). Yu Mi Kwon has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Cheolju Lee, Sungho Shin, Kang-Sik Park, Jeongmin Lee, Jong Wook Chang, Jae‐Hoon Jeong, Suk‐Joo Choi, Sa Ik Bang, Shinyeong Ju and Jin‐Won Lee. Their work appears in journals such as Analytical Chemistry, International Journal of Molecular Sciences, Scientific Reports, Biochemical and Biophysical Research Communications and Eye.
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.