Nhat‐Tu Le

1.3k total citations
22 papers, 838 citations indexed

About

Nhat‐Tu Le is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Nhat‐Tu Le has authored 22 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Immunology. Recurrent topics in Nhat‐Tu Le's work include Ubiquitin and proteasome pathways (7 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Single-cell and spatial transcriptomics (2 papers). Nhat‐Tu Le is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Single-cell and spatial transcriptomics (2 papers). Nhat‐Tu Le collaborates with scholars based in United States, Japan and South Korea. Nhat‐Tu Le's co-authors include Jun‐ichi Abe, Keigi Fujiwara, Abishai Dominic, Kyung‐Sun Heo, Chang-Hoon Woo, Eugene Chang, Hakjoo Lee, Craig N. Morrell, Carolyn McClain and Mark A. Sullivan and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Nhat‐Tu Le

22 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nhat‐Tu Le United States 16 480 201 135 114 100 22 838
Trevor P. Fidler United States 16 369 0.8× 175 0.9× 47 0.3× 95 0.8× 92 0.9× 18 877
Shenaz Khan United States 16 536 1.1× 115 0.6× 87 0.6× 112 1.0× 54 0.5× 21 989
Vidar Beisvåg Norway 17 371 0.8× 96 0.5× 78 0.6× 120 1.1× 122 1.2× 38 757
Marcus G. Pezzolesi United States 23 590 1.2× 75 0.4× 61 0.5× 215 1.9× 67 0.7× 43 1.3k
Dominique Charue France 13 303 0.6× 287 1.4× 90 0.7× 89 0.8× 91 0.9× 22 834
Carlos E. Irarrázabal Chile 20 486 1.0× 115 0.6× 125 0.9× 142 1.2× 37 0.4× 45 1.1k
Kevin Croce United States 9 455 0.9× 274 1.4× 70 0.5× 305 2.7× 243 2.4× 18 1.0k
Jeffrey R. Jacobson United States 11 335 0.7× 172 0.9× 74 0.5× 118 1.0× 47 0.5× 12 961
Yael Nechemia‐Arbely United States 13 716 1.5× 82 0.4× 107 0.8× 208 1.8× 52 0.5× 17 1.2k

Countries citing papers authored by Nhat‐Tu Le

Since Specialization
Citations

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

Fields of papers citing papers by Nhat‐Tu Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nhat‐Tu Le. 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 Nhat‐Tu Le. The network helps show where Nhat‐Tu Le may publish in the future.

Co-authorship network of co-authors of Nhat‐Tu Le

This figure shows the co-authorship network connecting the top 25 collaborators of Nhat‐Tu Le. A scholar is included among the top collaborators of Nhat‐Tu Le 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 Nhat‐Tu Le. Nhat‐Tu Le 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.
Zhang, Pengzhi, Tu Tran, Yiwei Xiao, et al.. (2025). A visual–omics foundation model to bridge histopathology with spatial transcriptomics. Nature Methods. 22(7). 1568–1582. 13 indexed citations
2.
Kotla, Sivareddy, Shengyu Li, Guangyu Wang, et al.. (2024). A Potential Role for MAGI-1 in the Bi-Directional Relationship Between Major Depressive Disorder and Cardiovascular Disease. Current Atherosclerosis Reports. 26(9). 463–483. 3 indexed citations
3.
Dominic, Abishai, et al.. (2021). SARS-CoV-2 Mediated Endothelial Dysfunction: The Potential Role of Chronic Oxidative Stress. Frontiers in Physiology. 11. 605908–605908. 102 indexed citations
4.
Dominic, Abishai, et al.. (2020). Time-dependent replicative senescence vs. disturbed flow-induced pre-mature aging in atherosclerosis. Redox Biology. 37. 101614–101614. 49 indexed citations
5.
Nguyen, Hung, et al.. (2020). Bone Marrow Transplantation Platform to Investigate the Role of Dendritic Cells in Graft-versus-Host Disease. Journal of Visualized Experiments. 1 indexed citations
6.
Lin, Ling, Chaowen Shi, Zhaorui Sun, et al.. (2019). The Ser/Thr kinase p90RSK promotes kidney fibrosis by modulating fibroblast–epithelial crosstalk. Journal of Biological Chemistry. 294(25). 9901–9910. 11 indexed citations
7.
Kotla, Sivareddy, Nhat‐Tu Le, Kyung Ae Ko, et al.. (2019). Endothelial senescence-associated secretory phenotype (SASP) is regulated by Makorin-1 ubiquitin E3 ligase. Metabolism. 100. 153962–153962. 19 indexed citations
8.
Le, Nhat‐Tu, James F. Martin, Keigi Fujiwara, & Jun‐ichi Abe. (2017). Sub-cellular localization specific SUMOylation in the heart. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(8). 2041–2055. 18 indexed citations
9.
Lin, Song-Chang, Yu-Chen Lee, Guoyu Yu, et al.. (2017). Endothelial-to-Osteoblast Conversion Generates Osteoblastic Metastasis of Prostate Cancer. Developmental Cell. 41(5). 467–480.e3. 70 indexed citations
10.
Le, Nhat‐Tu, et al.. (2016). Flow signaling and atherosclerosis. Cellular and Molecular Life Sciences. 74(10). 1835–1858. 27 indexed citations
11.
Abe, Jun‐ichi, Nhat‐Tu Le, & Kyung‐Sun Heo. (2015). Role for SUMOylation in disturbed flow-induced atherosclerotic plaque formation. Biomedical Engineering Letters. 5(3). 162–171. 2 indexed citations
12.
Heo, Kyung‐Sun, Nhat‐Tu Le, Eugene Chang, et al.. (2015). Disturbed flow-activated p90RSK kinase accelerates atherosclerosis by inhibiting SENP2 function. Journal of Clinical Investigation. 125(3). 1299–1310. 76 indexed citations
13.
Cameron, Scott J., Sara Ture, Deanne Mickelsen, et al.. (2015). Platelet Extracellular Regulated Protein Kinase 5 Is a Redox Switch and Triggers Maladaptive Platelet Responses and Myocardial Infarct Expansion. Circulation. 132(1). 47–58. 48 indexed citations
14.
Nguyen, Cuong Thach, et al.. (2014). Streptococcus pneumoniae ClpL Modulates Adherence to A549 Human Lung Cells through Rap1/Rac1 Activation. Infection and Immunity. 82(9). 3802–3810. 14 indexed citations
15.
Le, Nhat‐Tu, Yuichiro Takei, Tetsuro Shishido, et al.. (2012). p90RSK Targets the ERK5-CHIP Ubiquitin E3 Ligase Activity in Diabetic Hearts and Promotes Cardiac Apoptosis and Dysfunction. Circulation Research. 110(4). 536–550. 46 indexed citations
16.
Heo, Kyung‐Sun, Eugene Chang, Yuichiro Takei, et al.. (2012). Phosphorylation of Protein Inhibitor of Activated STAT1 (PIAS1) by MAPK-Activated Protein Kinase-2 Inhibits Endothelial Inflammation via Increasing Both PIAS1 Transrepression and SUMO E3 Ligase Activity. Arteriosclerosis Thrombosis and Vascular Biology. 33(2). 321–329. 17 indexed citations
17.
Le, Nhat‐Tu, et al.. (2012). Reactive Oxygen Species, SUMOylation, and Endothelial Inflammation. International Journal of Inflammation. 2012. 1–13. 19 indexed citations
18.
Le, Nhat‐Tu, Kyung‐Sun Heo, Yuichiro Takei, et al.. (2012). A Crucial Role for p90RSK-Mediated Reduction of ERK5 Transcriptional Activity in Endothelial Dysfunction and Atherosclerosis. Circulation. 127(4). 486–499. 91 indexed citations
19.
Heo, Kyung‐Sun, Hakjoo Lee, Patrizia Nigro, et al.. (2011). PKCζ mediates disturbed flow-induced endothelial apoptosis via p53 SUMOylation. The Journal of Cell Biology. 193(5). 867–884. 85 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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