Do Sik Min

7.8k total citations
206 papers, 6.5k citations indexed

About

Do Sik Min is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Do Sik Min has authored 206 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 31 papers in Oncology and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Do Sik Min's work include Protein Kinase Regulation and GTPase Signaling (52 papers), Wnt/β-catenin signaling in development and cancer (21 papers) and Cell death mechanisms and regulation (18 papers). Do Sik Min is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (52 papers), Wnt/β-catenin signaling in development and cancer (21 papers) and Cell death mechanisms and regulation (18 papers). Do Sik Min collaborates with scholars based in South Korea, United States and Japan. Do Sik Min's 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 and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Do Sik Min

201 papers receiving 6.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Do Sik Min South Korea 42 4.1k 934 809 805 701 206 6.5k
Marie A. Bogoyevitch Australia 46 5.2k 1.3× 861 0.9× 591 0.7× 804 1.0× 598 0.9× 109 7.5k
Eui‐Ju Choi South Korea 45 5.3k 1.3× 914 1.0× 1.0k 1.3× 920 1.1× 929 1.3× 107 8.5k
Osamu Kozawa Japan 38 4.2k 1.0× 979 1.0× 721 0.9× 715 0.9× 310 0.4× 390 6.6k
Cathy Tournier United Kingdom 36 4.4k 1.1× 1.1k 1.2× 911 1.1× 725 0.9× 540 0.8× 59 6.1k
Young Yang South Korea 45 4.4k 1.1× 1.1k 1.1× 671 0.8× 505 0.6× 699 1.0× 193 7.6k
Wen‐Chang Chang Taiwan 42 3.4k 0.8× 760 0.8× 925 1.1× 507 0.6× 588 0.8× 175 5.9k
Xiantao Wang United States 33 3.6k 0.9× 951 1.0× 671 0.8× 428 0.5× 400 0.6× 77 5.2k
Donat Kögel Germany 48 3.8k 0.9× 727 0.8× 771 1.0× 911 1.1× 496 0.7× 122 5.9k
Lei Wei United States 41 4.3k 1.1× 834 0.9× 535 0.7× 877 1.1× 323 0.5× 103 6.4k
Derek Yang United States 25 4.7k 1.2× 1.2k 1.3× 1.4k 1.8× 630 0.8× 894 1.3× 40 7.4k

Countries citing papers authored by Do Sik Min

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Do Sik Min

This figure shows the co-authorship network connecting the top 25 collaborators of Do Sik Min. A scholar is included among the top collaborators of Do Sik Min based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Do Sik Min. Do Sik Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kim, Tae Hyun, et al.. (2025). Monotropein improves late-onset hypogonadism in TM3 Leydig cells and aged rats. Biomedicine & Pharmacotherapy. 193. 118734–118734.
3.
Sung, Yulseung, Ya Chun Yu, Mirim Lee, et al.. (2025). Targeting cancer glutamine dependency with a first-in-class inhibitor of the mitochondrial glutamine transporter SLC1A5_var. Nature Communications. 16(1). 9690–9690.
4.
Kim, Tae Hyun, et al.. (2024). Improvement of Late-Onset Hypogonadism Symptoms of Fermented Morinda citrifolia Extract in TM3 Leydig and TM4 Sertoli Cells. Nutrients. 16(23). 4159–4159. 2 indexed citations
5.
Lee, Hyesung, Hyunji Lee, Kuglae Kim, et al.. (2024). PLD1 is a key player in cancer stemness and chemoresistance: Therapeutic targeting of cross-talk between the PI3K/Akt and Wnt/β-catenin pathways. Experimental & Molecular Medicine. 56(7). 1479–1487. 9 indexed citations
6.
Park, Seung Joon, Hee Chan Yoo, Yulseung Sung, et al.. (2023). Enhanced Glutaminolysis Drives Hypoxia-Induced Chemoresistance in Pancreatic Cancer. Cancer Research. 83(5). 735–752. 34 indexed citations
7.
Lee, Hanju, Sohee Park, Sanghyun Ju, et al.. (2021). Preparation and Evaluation of Colon-Targeted Prodrugs of the Microbial Metabolite 3-Indolepropionic Acid as an Anticolitic Agent. Molecular Pharmaceutics. 18(4). 1730–1741. 18 indexed citations
8.
Kang, Dong Woo, Young‐Ah Suh, Se Jin Jang, et al.. (2017). Phospholipase D1 Inhibition Linked to Upregulation of ICAT Blocks Colorectal Cancer Growth Hyperactivated by Wnt/β-Catenin and PI3K/Akt Signaling. Clinical Cancer Research. 23(23). 7340–7350. 40 indexed citations
9.
Kang, Dong Woo, et al.. (2016). Phospholipase D1 Acts through Akt/TopBP1 and RB1 to Regulate the E2F1-Dependent Apoptotic Program in Cancer Cells. Cancer Research. 77(1). 142–152. 27 indexed citations
10.
Kang, Dong Woo, et al.. (2010). Phospholipase D1 Drives a Positive Feedback Loop to Reinforce the Wnt/β-Catenin/TCF Signaling Axis. Cancer Research. 70(10). 4233–4242. 40 indexed citations
11.
Min, Gyesik, et al.. (2004). Phospholipase D is involved in oxidative stress-induced migration of vascular smooth muscle cells via tyrosine phosphorylation and protein kinase C. Experimental & Molecular Medicine. 36(2). 103–109. 23 indexed citations
12.
Kim, Seong-Yun, Do Sik Min, Yun Sik Choi, et al.. (2004). Differential Expression of Phospholipase D Isozymes in the Hippocampus Following Kainic Acid-Induced Seizures. Journal of Neuropathology & Experimental Neurology. 63(8). 812–820. 16 indexed citations
13.
Ryu, Gyeong Ryul, Myung‐Joon Kim, Shin Hee Yoon, et al.. (2003). Electrophysiological and Morphological Classification of Inhibitory Interneurons in Layer II/III of the Rat Visual Cortex. Korean Journal of Physiology and Pharmacology. 7(6). 317–323. 1 indexed citations
14.
Kim, Myung‐Joon, Gyeong Ryul Ryu, Do Sik Min, et al.. (2002). Altered Secretory Pattern of Pancreatic Enzymes and Gastrointestinal Hormones in Streptozotocin-induced Diabetic Rats. Korean Journal of Physiology and Pharmacology. 6(6). 311–317. 2 indexed citations
15.
Choi, Bok Hee, et al.. (2001). Effects of norfluoxetine, the major metabolite of fluoxetine, on the cloned neuronal potassium channel Kv3.1. Neuropharmacology. 41(4). 443–453. 41 indexed citations
16.
Min, Do Sik, Myung Jong Kim, Hyun Kim, et al.. (2000). Immunological characterization of 130 kDa phospholipase C-β4 isozyme in rat cerebellar Purkinje cells. Neuroscience Letters. 292(1). 9–12. 6 indexed citations
17.
18.
Min, Do Sik, et al.. (1999). Down‐regulation of phospholipase D during differentiation of mouse F9 teratocarcinoma cells. FEBS Letters. 454(3). 197–200. 7 indexed citations
19.
Lee, Woon Kyu, Kyung Jin Lee, Hyoung Kyun Rha, et al.. (1999). Molecular Cloning and Expression Analysis of a Mouse Phospholipase C-δ1. Biochemical and Biophysical Research Communications. 261(2). 393–399. 26 indexed citations
20.
Min, Do Sik, et al.. (1998). Characterization of a Rat Brain Phospholipase D Isozyme. Journal of Biological Chemistry. 273(12). 7044–7051. 86 indexed citations

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.

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