Mi Nam Lee

1.2k total citations
24 papers, 937 citations indexed

About

Mi Nam Lee is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Mi Nam Lee has authored 24 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Mi Nam Lee's work include Glycosylation and Glycoproteins Research (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Protein Tyrosine Phosphatases (3 papers). Mi Nam Lee is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Protein Tyrosine Phosphatases (3 papers). Mi Nam Lee collaborates with scholars based in South Korea, United States and Sweden. Mi Nam Lee's co-authors include Sung Ho Ryu, Ara Koh, Yong Ryoul Yang, Pann‐Ghill Suh, Heeyoon Jeong, Jungeun Noh, Dohyun Park, Pann‐Ghill Suh, Do‐Hyung Kim and Sang Hoon Ha and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Hepatology.

In The Last Decade

Mi Nam Lee

23 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Nam Lee South Korea 14 630 187 158 139 118 24 937
Matthew Redmann United States 11 519 0.8× 380 2.0× 78 0.5× 57 0.4× 162 1.4× 16 911
Yukiko Sasazawa Japan 15 644 1.0× 330 1.8× 110 0.7× 61 0.4× 98 0.8× 32 1.1k
Insook Jang United States 16 821 1.3× 426 2.3× 235 1.5× 94 0.7× 171 1.4× 19 1.4k
Manuel Oropesa-Ávila Spain 16 690 1.1× 237 1.3× 67 0.4× 53 0.4× 210 1.8× 21 1.0k
Mónica Álvarez-Córdoba Spain 20 705 1.1× 156 0.8× 76 0.5× 33 0.2× 161 1.4× 44 1.1k
Su-Ryun Kim South Korea 20 497 0.8× 305 1.6× 158 1.0× 25 0.2× 155 1.3× 28 1.1k
Inga Bauer Italy 15 396 0.6× 182 1.0× 79 0.5× 39 0.3× 89 0.8× 22 882
Mahmoud Shekari Khaniani Iran 15 593 0.9× 114 0.6× 108 0.7× 96 0.7× 43 0.4× 60 1.0k
Yong Zuo China 20 917 1.5× 130 0.7× 201 1.3× 30 0.2× 79 0.7× 31 1.3k
Hitoshi Murata Japan 22 851 1.4× 180 1.0× 265 1.7× 21 0.2× 94 0.8× 45 1.4k

Countries citing papers authored by Mi Nam Lee

Since Specialization
Citations

This map shows the geographic impact of Mi Nam Lee'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 Nam Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Nam Lee more than expected).

Fields of papers citing papers by Mi Nam Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Nam Lee. 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 Nam Lee. The network helps show where Mi Nam Lee may publish in the future.

Co-authorship network of co-authors of Mi Nam Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Nam Lee. A scholar is included among the top collaborators of Mi Nam Lee 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 Mi Nam Lee. Mi Nam Lee 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
2.
Kim, Yelim, et al.. (2022). Time-restricted feeding reduces monocyte production by controlling hematopoietic stem and progenitor cells in the bone marrow during obesity. Frontiers in Immunology. 13. 1054875–1054875. 11 indexed citations
3.
Lee, Mi Nam, et al.. (2019). Luteolin Improves Insulin Resistance in Postmenopausal Obese Mice by Altering Macrophage Polarization (FS12-01-19). Current Developments in Nutrition. 3. nzz049.FS12–1. 4 indexed citations
4.
Jeong, Heeyoon, Ara Koh, Jiyoun Lee, et al.. (2017). Inhibition of C1-Ten PTPase activity reduces insulin resistance through IRS-1 and AMPK pathways. Scientific Reports. 7(1). 17777–17777. 16 indexed citations
5.
Park, Dohyun, Heeyoon Jeong, Mi Nam Lee, et al.. (2016). Resveratrol induces autophagy by directly inhibiting mTOR through ATP competition. Scientific Reports. 6(1). 21772–21772. 224 indexed citations
6.
Park, Dohyun, Mi Nam Lee, Heeyoon Jeong, et al.. (2014). Parkin ubiquitinates mTOR to regulate mTORC1 activity under mitochondrial stress. Cellular Signalling. 26(10). 2122–2130. 18 indexed citations
7.
Lim, Young Ae, et al.. (2014). Report on External Proficiency Testing for the ABO and D Blood Typing in Blood Centers in 2012 and 2013. The Korean Journal of Blood Transfusion. 25(1). 41–52. 2 indexed citations
8.
Koh, Ara, Dohyun Park, Heeyoon Jeong, et al.. (2014). Regulation of C1-Ten protein tyrosine phosphatase by p62/SQSTM1-mediated sequestration and degradation. Cellular Signalling. 26(11). 2470–2480. 3 indexed citations
9.
Kim, Eung‐Sam, Seung Yun Yang, Mi Nam Lee, et al.. (2013). Controlled release of human growth hormone fused with a human hybrid Fc fragment through a nanoporous polymer membrane. Nanoscale. 5(10). 4262–4262. 21 indexed citations
10.
Lim, Young Ae, et al.. (2012). Report on External Proficiency Testing for Blood Grouping Tests in Blood Centers (2011). The Korean Journal of Blood Transfusion. 23(1). 38–47. 3 indexed citations
11.
Lee, Mi Nam, Ara Koh, Dohyun Park, et al.. (2012). Deacetylated αβ-tubulin acts as a positive regulator of Rheb GTPase through increasing its GTP-loading. Cellular Signalling. 25(2). 539–551. 4 indexed citations
12.
Choi, Sunkyu, Heeyoon Jeong, Jin‐Hyeok Jang, et al.. (2012). Osmotic Stress Regulates Mammalian Target of Rapamycin (mTOR) Complex 1 via c-Jun N-terminal Kinase (JNK)-mediated Raptor Protein Phosphorylation. Journal of Biological Chemistry. 287(22). 18398–18407. 35 indexed citations
13.
Yang, Yong Ryoul, Minseok Song, Ho Lee, et al.. (2012). O‐GlcNAcase is essential for embryonic development and maintenance of genomic stability. Aging Cell. 11(3). 439–448. 186 indexed citations
14.
Jeon, Hyeona, Jungeun Noh, Mi Nam Lee, et al.. (2011). Phospholipase D2 induces stress fiber formation through mediating nucleotide exchange for RhoA. Cellular Signalling. 23(8). 1320–1326. 23 indexed citations
15.
Lee, Hyun Jae, Mi Nam Lee, Jang‐Hyun Kim, et al.. (2010). Daidzein regulates secretion, production and gene expression of mucin from airway epithelial cells stimulated by proinflammatory factor and growth factor. Pulmonary Pharmacology & Therapeutics. 24(1). 128–132. 4 indexed citations
16.
Lee, Jae Wook, et al.. (2010). Effect of Platycodin D on Airway MUC5AC Mucin Production and Gene Expression Induced by Growth Factor and Proinflammatory Factor. Biomolecules & Therapeutics. 18(3). 294–299. 10 indexed citations
17.
Lee, Mi Nam, Sang Hoon Ha, Jaeyoon Kim, et al.. (2009). Glycolytic Flux Signals to mTOR through Glyceraldehyde-3-Phosphate Dehydrogenase-Mediated Regulation of Rheb. Molecular and Cellular Biology. 29(14). 3991–4001. 148 indexed citations
18.
Heo, Ho Jin, et al.. (2009). Genistein and curcumin suppress epidermal growth factor‐induced MUC5AC mucin production and gene expression from human airway epithelial cells. Phytotherapy Research. 23(10). 1458–1461. 40 indexed citations
19.
Song, Ran, Mi Nam Lee, Chon Saeng Kim, et al.. (2008). A molecular chaperone glucose-regulated protein 94 blocks apoptosis induced by virus infection. Hepatology. 47(3). 854–866. 26 indexed citations
20.
Ha, Sang Hoon, Do‐Hyung Kim, Jung Hwan Kim, et al.. (2006). PLD2 forms a functional complex with mTOR/raptor to transduce mitogenic signals. Cellular Signalling. 18(12). 2283–2291. 42 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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