Hui S. Tsui

469 total citations
9 papers, 335 citations indexed

About

Hui S. Tsui is a scholar working on Molecular Biology, Biochemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Hui S. Tsui has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Hui S. Tsui's work include Coenzyme Q10 studies and effects (8 papers), Mitochondrial Function and Pathology (5 papers) and Biochemical Acid Research Studies (3 papers). Hui S. Tsui is often cited by papers focused on Coenzyme Q10 studies and effects (8 papers), Mitochondrial Function and Pathology (5 papers) and Biochemical Acid Research Studies (3 papers). Hui S. Tsui collaborates with scholars based in United States, Belarus and Australia. Hui S. Tsui's co-authors include Catherine F. Clarke, Michelle C. Bradley, Agape M. Awad, Lucía Fernández-del-Río, Anish Nag, Mikhail S. Shchepinov, Andrei V. Bekish, Vadim V. Shmanai, Connor R. Lamberson and Ned A. Porter and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The FASEB Journal.

In The Last Decade

Hui S. Tsui

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui S. Tsui United States 6 242 88 52 35 26 9 335
Agape M. Awad United States 7 273 1.1× 106 1.2× 66 1.3× 19 0.5× 23 0.9× 10 375
Nona Khaselev United States 6 184 0.8× 42 0.5× 14 0.3× 21 0.6× 36 1.4× 9 309
Antonio Arroyo Spain 8 326 1.3× 59 0.7× 65 1.3× 3 0.1× 77 3.0× 9 521
T. S. Wiedmann United States 6 177 0.7× 19 0.2× 8 0.2× 24 0.7× 41 1.6× 8 374
María I. Burón Spain 14 310 1.3× 90 1.0× 71 1.4× 3 0.1× 108 4.2× 31 492
Kazuya Kohashi Japan 13 277 1.1× 68 0.8× 42 0.8× 11 0.3× 48 1.8× 45 541
Benedict Gomes United States 8 191 0.8× 106 1.2× 89 1.7× 12 0.3× 59 2.3× 10 326
Gloria Rosso United States 11 285 1.2× 66 0.8× 12 0.2× 12 0.3× 37 1.4× 15 353
Troy Good United States 5 229 0.9× 35 0.4× 28 0.5× 13 0.4× 16 0.6× 8 374
Kenichi Kïshida Japan 10 230 1.0× 28 0.3× 7 0.1× 12 0.3× 20 0.8× 26 352

Countries citing papers authored by Hui S. Tsui

Since Specialization
Citations

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

Fields of papers citing papers by Hui S. Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui S. Tsui. 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 Hui S. Tsui. The network helps show where Hui S. Tsui may publish in the future.

Co-authorship network of co-authors of Hui S. Tsui

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

All Works

9 of 9 papers shown
1.
Bradley, Michelle C., Lucía Fernández-del-Río, Jennifer Ngo, et al.. (2020). COQ11 deletion mitigates respiratory deficiency caused by mutations in the gene encoding the coenzyme Q chaperone protein Coq10. Journal of Biological Chemistry. 295(18). 6023–6042. 15 indexed citations
2.
Tsui, Hui S.. (2019). The roles of the Coq10 chaperone protein, cardiolipin, and endoplasmic reticulum-mitochondria contact sites in coenzyme Q biosynthesis and function. eScholarship (California Digital Library). 1 indexed citations
3.
Tsui, Hui S., Brendan R. Amer, Michelle C. Bradley, et al.. (2019). Human COQ10A and COQ10B are distinct lipid-binding START domain proteins required for coenzyme Q function. Journal of Lipid Research. 60(7). 1293–1310. 39 indexed citations
4.
Eisenberg‐Bord, Michal, Hui S. Tsui, Diana Antunes, et al.. (2019). The Endoplasmic Reticulum-Mitochondria Encounter Structure Complex Coordinates Coenzyme Q Biosynthesis. SHILAP Revista de lepidopterología. 2. 3311203521–3311203521. 40 indexed citations
5.
Bradley, Michelle C., et al.. (2018). Characterization of Coq11, a novel protein involved in the biosynthesis of coenzyme Q in Saccharomyces cerevisiae. The FASEB Journal. 32(S1). 1 indexed citations
6.
Awad, Agape M., Michelle C. Bradley, Lucía Fernández-del-Río, et al.. (2018). Coenzyme Q10 deficiencies: pathways in yeast and humans. Essays in Biochemistry. 62(3). 361–376. 92 indexed citations
7.
Andreyev, Alexander Y., Hui S. Tsui, Ginger L. Milne, et al.. (2015). Isotope-reinforced polyunsaturated fatty acids protect mitochondria from oxidative stress. Free Radical Biology and Medicine. 82. 63–72. 55 indexed citations
8.
Tsui, Hui S., Connor R. Lamberson, Libin Xu, et al.. (2013). Isotope-reinforced Polyunsaturated Fatty Acids Suppress Lipid Autoxidation. Free Radical Biology and Medicine. 65. S134–S134. 1 indexed citations
9.
Lamberson, Connor R., Libin Xu, Hui S. Tsui, et al.. (2012). Small amounts of isotope-reinforced polyunsaturated fatty acids suppress lipid autoxidation. Free Radical Biology and Medicine. 53(4). 893–906. 91 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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