Ming-Hui Lee

494 total citations
11 papers, 354 citations indexed

About

Ming-Hui Lee is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming-Hui Lee has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming-Hui Lee's work include Genetics and Neurodevelopmental Disorders (6 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer-related gene regulation (4 papers). Ming-Hui Lee is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer-related gene regulation (4 papers). Ming-Hui Lee collaborates with scholars based in Taiwan, United States and China. Ming-Hui Lee's co-authors include Nan‐Shan Chang, Li‐Jin Hsu, Lori Schultz, Qunying Hong, Chun‐I Sze, Shean-Jen Chen, Shur-Tzu Chen, Yee-Shin Lin, Ruei‐Yu He and Robert J. Boackle and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Japanese Journal of Applied Physics.

In The Last Decade

Ming-Hui Lee

11 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Hui Lee Taiwan 10 191 178 116 56 55 11 354
Lisa Salazar United States 6 336 1.8× 65 0.4× 132 1.1× 95 1.7× 25 0.5× 6 469
Anne L. Jacob Norway 8 290 1.5× 195 1.1× 41 0.4× 32 0.6× 93 1.7× 8 469
Lisa H. Gibson United States 12 335 1.8× 266 1.5× 44 0.4× 34 0.6× 28 0.5× 17 559
Lambertus H.J. Aarts Netherlands 12 145 0.8× 144 0.8× 43 0.4× 60 1.1× 114 2.1× 13 414
Leen Abu Safieh Saudi Arabia 11 428 2.2× 197 1.1× 54 0.5× 67 1.2× 21 0.4× 21 527
L. Pajunen Finland 13 288 1.5× 136 0.8× 32 0.3× 73 1.3× 23 0.4× 20 394
Shelagh Joss United Kingdom 13 303 1.6× 169 0.9× 25 0.2× 43 0.8× 63 1.1× 19 452
Adam J.W. Paige United Kingdom 11 399 2.1× 346 1.9× 101 0.9× 29 0.5× 16 0.3× 14 544
Konstantina Karamboulas Canada 6 233 1.2× 46 0.3× 46 0.4× 26 0.5× 21 0.4× 8 352
Lynne Hobson Australia 9 563 2.9× 372 2.1× 65 0.6× 28 0.5× 40 0.7× 11 684

Countries citing papers authored by Ming-Hui Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hui Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Hui 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 Ming-Hui Lee. The network helps show where Ming-Hui Lee may publish in the future.

Co-authorship network of co-authors of Ming-Hui Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Hui Lee. A scholar is included among the top collaborators of Ming-Hui 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 Ming-Hui Lee. Ming-Hui Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Lee, Ming-Hui, et al.. (2019). A p53/TIAF1/WWOX triad exerts cancer suppression but may cause brain protein aggregation due to p53/WWOX functional antagonism. Cell Communication and Signaling. 17(1). 76–76. 20 indexed citations
4.
Hsu, Li‐Jin, Qunying Hong, Shur-Tzu Chen, et al.. (2016). Hyaluronan activates Hyal-2/WWOX/Smad4 signaling and causes bubbling cell death when the signaling complex is overexpressed. Oncotarget. 8(12). 19137–19155. 30 indexed citations
5.
Lee, Ming-Hui, H. Sunny Sun, Chun‐I Sze, et al.. (2015). Trafficking protein particle complex 6A delta (TRAPPC6AΔ) is an extracellular plaque-forming protein in the brain. Oncotarget. 6(6). 3578–3589. 34 indexed citations
6.
Lee, Ming-Hui, et al.. (2010). Zfra is a small wizard in the mitochondrial apoptosis. Aging. 2(12). 1023–1029. 12 indexed citations
7.
Hong, Qunying, Chun‐I Sze, Ming-Hui Lee, et al.. (2009). Complement C1q Activates Tumor Suppressor WWOX to Induce Apoptosis in Prostate Cancer Cells. PLoS ONE. 4(6). e5755–e5755. 95 indexed citations
8.
Hsu, Li‐Jin, Ming-Hui Lee, Chun‐I Sze, et al.. (2009). Dramatic Co-Activation of WWOX/WOX1 with CREB and NF-κB in Delayed Loss of Small Dorsal Root Ganglion Neurons upon Sciatic Nerve Transection in Rats. PLoS ONE. 4(11). e7820–e7820. 48 indexed citations
9.
Hsu, Li‐Jin, Lori Schultz, Qunying Hong, et al.. (2009). Transforming Growth Factor β1 Signaling via Interaction with Cell Surface Hyal-2 and Recruitment of WWOX/WOX1. Journal of Biological Chemistry. 284(23). 16049–16059. 72 indexed citations
10.
Hsu, Li‐Jin, Qunying Hong, Lori Schultz, et al.. (2008). Zfra is an inhibitor of Bcl-2 expression and cytochrome c release from the mitochondria. Cellular Signalling. 20(7). 1303–1312. 18 indexed citations
11.
Chang, Yuan‐Chih, et al.. (2004). Nanoscale Imaging of Biomolecules by Controlled Carbon Nanotube Probes. Japanese Journal of Applied Physics. 43(7S). 4517–4517. 5 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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