Mi Young Kim
- Oncology top 5%
- PARP inhibition in cancer therapy 3
- Cancer Cells and Metastasis 2
- Geriatrics and Gerontology top 5%
- Physiology top 2%
- Catalysis top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms 2
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- Neurobiology and Insect Physiology Research 9
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- Silk-based biomaterials and applications 3
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- Cancer Genomics and Diagnostics 3
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- Toxin Mechanisms and Immunotoxins 2
- Invertebrate Immune Response Mechanisms 2
- Co-authors
- W. Lee KrausTong ZhangSteven A. MauroJohn T. LisNicolas GévryHyo‐Yong AhnKi Dong YangYoon Young Lee
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Mi Young Kim
29 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 804
- Geriatrics and Gerontology 101
- Physiology 116
- Catalysis 117
- Molecular Biology 879
Countries citing papers authored by Mi Young Kim
This map shows the geographic impact of Mi Young 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 Mi Young Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Young Kim more than expected).
Fields of papers citing papers by Mi Young Kim
This network shows the impact of papers produced by Mi Young 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 Mi Young Kim. The network helps show where Mi Young Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mi Young 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 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 6 | |
| 7 | 2017 | 100 | |
| 8 | 2015 | 239 | |
| 9 | 2012 | 8 | |
| 10 | 2012 | 8 | |
| 11 | 2011 | 3 | |
| 12 | 2008 | 9 | |
| 13 | 2006 | 2 | |
| 14 | Poly(ADP-ribosyl)ation by PARP-1: `PAR-laying' NAD+ into a nuclear signalbreakdown → | 2005 | 673 |
| 15 | 2004 | 464 | |
| 16 | 2004 | 51 | |
| 17 | 2004 | 2 | |
| 18 | Beta2-adrenoceptor Polymorphisms between Asthmatic and Normal Children in Korea | 2002 | 1 |
| 19 | The Effect of transdermal estrogen on pulsatility index of internal carotid artery in postmenopausal women - Effect of estrogen on arterial tone. | 2001 | 1 |
| 20 | 2001 | 5 |
About Mi Young Kim
Mi Young Kim is a scholar working on Research and Theory, Leadership and Management and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Silk-based biomaterials and applications (3 papers), Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), DNA Repair Mechanisms (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Oncology (804 citations), Geriatrics and Gerontology (101 citations) and Physiology (116 citations). Mi Young Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include W. Lee Kraus, Tong Zhang, Steven A. Mauro, John T. Lis, Nicolas Gévry, Hyo‐Yong Ahn, Ki Dong Yang, Yoon Young Lee, Hye‐Eun Lee and Ki Tae Nam. Their work appears in journals such as Cell, The Journal of Experimental Medicine and Genes & Development.
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.