Do Sik Min
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 52
- Wnt/β-catenin signaling in development and cancer 21
- Cell death mechanisms and regulation 18
- Ion channel regulation and function 14
- PI3K/AKT/mTOR signaling in cancer 12
- Mitochondrial Function and Pathology 12
- Molecular Medicine top 2%
- Cancer Research top 2%
- Cell Biology top 1%
- Cellular transport and secretion 12
-
- Neuroscience and Neuropharmacology Research 15
- Co-authors
- Kang‐Yell ChoiDong Woo KangTaeg Kyu KwonJohn H. ExtonJong‐Soo ChangMi Hee ParkYoung Han LeeJong Wook Park
- Journals
- Experimental & Molecular Medicine (20 papers)Journal of Biological Chemistry (19 papers)Biochemical and Biophysical Research Communications (11 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Do Sik Min
201 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 4.1k
- Molecular Medicine 277
- Cancer Research 809
- Cell Biology 805
- Cellular and Molecular Neuroscience 701
Countries citing papers authored by Do Sik Min
This map shows the geographic impact of Do Sik 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 Do Sik Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do Sik Min more than expected).
Fields of papers citing papers by Do Sik Min
This network shows the impact of papers produced by Do Sik 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 Do Sik Min. The network helps show where Do Sik Min may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Do Sik 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 34 | |
| 7 | 2021 | 18 | |
| 8 | 2017 | 40 | |
| 9 | 2016 | 27 | |
| 10 | 2010 | 40 | |
| 11 | 2004 | 23 | |
| 12 | 2004 | 16 | |
| 13 | Electrophysiological and Morphological Classification of Inhibitory Interneurons in Layer II/III of the Rat Visual Cortex | 2003 | 1 |
| 14 | Altered Secretory Pattern of Pancreatic Enzymes and Gastrointestinal Hormones in Streptozotocin-induced Diabetic Rats | 2002 | 2 |
| 15 | 2001 | 41 | |
| 16 | 2000 | 6 | |
| 17 | 2000 | 34 | |
| 18 | 1999 | 7 | |
| 19 | 1999 | 26 | |
| 20 | 1998 | 86 |
About Do Sik Min
Do Sik Min is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cancer Research and Physiology, having authored 206 papers that have together received 6.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (52 papers), Wnt/β-catenin signaling in development and cancer (21 papers), Cell death mechanisms and regulation (18 papers), Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (14 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Mitochondrial Function and Pathology (12 papers) and Cellular transport and secretion (12 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Molecular Medicine (277 citations), Cancer Research (809 citations), Cell Biology (805 citations) and Cellular and Molecular Neuroscience (701 citations). Do Sik Min has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kang‐Yell Choi, Dong Woo Kang, Taeg Kyu Kwon, John H. Exton, Jong‐Soo Chang, Mi Hee Park, Young Han Lee, Jong Wook Park, Bong‐Hyun Ahn and Yang‐Hyeok Jo. Their work appears in journals such as Experimental & Molecular Medicine, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, FEBS Letters and Cancer Research.
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.