Mi‐sun Lim
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Antibiotics Pharmacokinetics and Efficacy 4
-
- Analytical Methods in Pharmaceuticals 4
- Co-authors
- Sook Jin Seong (23 shared papers)Young‐Ran Yoon (19 shared papers)Hae Won Lee (18 shared papers)Chul Ju Hwang (1 shared paper)Jin Tae Hong (1 shared paper)Sina Shadfar (1 shared paper)Dong‐Young Choi (1 shared paper)Jeong Hyeon Park (13 shared papers)
- Journals
- Expert Opinion on Drug Metabolism & Toxicology (4 papers)Journal of Chromatography B (3 papers)Tissue Engineering Part C Methods (2 papers)Journal of Visualized Experiments (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Mi‐sun Lim
37 papers receiving 609 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 32
- Pharmacology 58
- Biological Psychiatry 14
- Neurology 46
- Molecular Biology 260
Countries citing papers authored by Mi‐sun Lim
This map shows the geographic impact of Mi‐sun Lim'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 Lim 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 Lim more than expected).
Fields of papers citing papers by Mi‐sun Lim
This network shows the impact of papers produced by Mi‐sun Lim. 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 Lim. The network helps show where Mi‐sun Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi‐sun Lim, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 112 | |
| 2 | 2013 | 59 | |
| 3 | 2012 | 42 | |
| 4 | 2016 | 41 | |
| 5 | 2016 | 38 | |
| 6 | 2015 | 38 | |
| 7 | 2020 | 30 | |
| 8 | 2011 | 21 | |
| 9 | 2008 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2010 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2013 | 15 | |
| 14 | 2009 | 13 | |
| 15 | 2011 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2019 | 9 |
About Mi‐sun Lim
Mi‐sun Lim is a scholar working on Pharmacology, Pharmacology, Analytical Chemistry, Molecular Biology and Toxicology, having authored 38 papers that have together received 622 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (4 papers), Pluripotent Stem Cells Research (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Blood Pressure and Hypertension Studies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Aortic aneurysm repair treatments (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Pharmacology (58 citations), Biological Psychiatry (14 citations), Neurology (46 citations) and Molecular Biology (260 citations). Mi‐sun Lim has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Sook Jin Seong, Young‐Ran Yoon, Hae Won Lee, Chul Ju Hwang, Jin Tae Hong, Sina Shadfar, Dong‐Young Choi, Jeong Hyeon Park, Woo Youl Kang and Se‐Young Choung. Their work appears in journals such as Expert Opinion on Drug Metabolism & Toxicology, Journal of Chromatography B, Tissue Engineering Part C Methods, Journal of Visualized Experiments and PLoS ONE.
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.