Kyung‐Tai Min
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
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- Neuroscience and Neuropharmacology Research 4
- Insect Science top 1%
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 12
- ATP Synthase and ATPases Research 5
- Signaling Pathways in Disease 5
- RNA and protein synthesis mechanisms 4
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- Genetics and Neurodevelopmental Disorders 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Seymour BenzerKaren T. ChangHyung‐Lyun KangRobert F. NiescierMary B. KennedyR.V. OmkumarAnthony J. GriswoldFiona M. Menzies
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Kyung‐Tai Min
44 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 248
- Cellular and Molecular Neuroscience 864
- Insect Science 492
- Developmental Neuroscience 103
- Molecular Biology 1.6k
Countries citing papers authored by Kyung‐Tai Min
This map shows the geographic impact of Kyung‐Tai Min'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 Kyung‐Tai Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyung‐Tai Min more than expected).
Fields of papers citing papers by Kyung‐Tai Min
This network shows the impact of papers produced by Kyung‐Tai Min. 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 Kyung‐Tai Min. The network helps show where Kyung‐Tai Min may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyung‐Tai Min, 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 | 2022 | 10 | |
| 2 | 2021 | 27 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 11 | |
| 5 | 2018 | 49 | |
| 6 | 2018 | 25 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 17 | |
| 9 | 2013 | 12 | |
| 10 | 2010 | 77 | |
| 11 | 2008 | 61 | |
| 12 | 2005 | 58 | |
| 13 | 2005 | 72 | |
| 14 | 2005 | 140 | |
| 15 | 2003 | 111 | |
| 16 | Progress Report on High-Resolution Comparison of Argon/Argon and Uranium/Lead Systems | 1999 | 3 |
| 17 | 1997 | 58 | |
| 18 | 1996 | 1 | |
| 19 | 1995 | 1 | |
| 20 | 1993 | 217 |
About Kyung‐Tai Min
Kyung‐Tai Min is a scholar working on Aging, Cellular and Molecular Neuroscience and Geriatrics and Gerontology, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Genetics and Neurodevelopmental Disorders (6 papers), ATP Synthase and ATPases Research (5 papers), Signaling Pathways in Disease (5 papers), Bacterial Genetics and Biotechnology (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA and protein synthesis mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Aging (248 citations), Cellular and Molecular Neuroscience (864 citations) and Insect Science (492 citations). Kyung‐Tai Min has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Seymour Benzer, Karen T. Chang, Hyung‐Lyun Kang, Robert F. Niescier, Mary B. Kennedy, R.V. Omkumar, Anthony J. Griswold, Fiona M. Menzies, Sarat Chandra Yenisetti and Michael D. Yudkin. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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.