Shao-Qing Kuang

1.7k total citations
17 papers, 1.1k citations indexed

About

Shao-Qing Kuang is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shao-Qing Kuang has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shao-Qing Kuang's work include Estrogen and related hormone effects (6 papers), Connective tissue disorders research (4 papers) and Aortic Disease and Treatment Approaches (3 papers). Shao-Qing Kuang is often cited by papers focused on Estrogen and related hormone effects (6 papers), Connective tissue disorders research (4 papers) and Aortic Disease and Treatment Approaches (3 papers). Shao-Qing Kuang collaborates with scholars based in United States, China and South Korea. Shao-Qing Kuang's co-authors include Jianming Xu, Lan Liao, Bert W. O’Malley, Guillermo Garcia‐Manero, Hui Yang, Hao Zhang, Dianna M. Milewicz, Yuhui Yuan, Shu Wang and Adrian V. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

In The Last Decade

Shao-Qing Kuang

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao-Qing Kuang United States 16 574 483 275 235 142 17 1.1k
Anna S. Nikonova United States 17 759 1.3× 374 0.8× 135 0.5× 259 1.1× 103 0.7× 42 1.2k
J.A.G.M. van der Korput Netherlands 16 1.0k 1.8× 797 1.7× 834 3.0× 140 0.6× 128 0.9× 17 1.8k
Ayush Dagvadorj United States 19 672 1.2× 160 0.3× 270 1.0× 448 1.9× 206 1.5× 23 1.2k
Filemon S. Dela Cruz United States 14 573 1.0× 286 0.6× 234 0.9× 236 1.0× 170 1.2× 49 1.2k
Irene A. Rigault de la Longrais Italy 20 799 1.4× 152 0.3× 89 0.3× 345 1.5× 435 3.1× 26 1.4k
Betty Gardie France 15 803 1.4× 135 0.3× 238 0.9× 194 0.8× 516 3.6× 36 1.3k
Cinzia Puppin Italy 23 782 1.4× 111 0.2× 103 0.4× 369 1.6× 220 1.5× 46 1.2k
Hervé Husson United States 19 950 1.7× 608 1.3× 77 0.3× 225 1.0× 64 0.5× 24 1.8k
Veronica A. Carroll United Kingdom 15 595 1.0× 79 0.2× 158 0.6× 160 0.7× 530 3.7× 23 1.1k
Ruoqian Shen United States 18 593 1.0× 131 0.3× 551 2.0× 442 1.9× 283 2.0× 27 1.2k

Countries citing papers authored by Shao-Qing Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Qing Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Qing Kuang. 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 Shao-Qing Kuang. The network helps show where Shao-Qing Kuang may publish in the future.

Co-authorship network of co-authors of Shao-Qing Kuang

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

All Works

17 of 17 papers shown
1.
Kuang, Shao-Qing, Zhihong Fang, Patrick A. Zweidler‐McKay, et al.. (2013). Epigenetic Inactivation of Notch-Hes Pathway in Human B-Cell Acute Lymphoblastic Leukemia. PLoS ONE. 8(4). e61807–e61807. 40 indexed citations
2.
Kuang, Shao-Qing, Siddharth K. Prakash, Carlos Villamizar, et al.. (2013). Aortic Remodeling After Transverse Aortic Constriction in Mice Is Attenuated With AT 1 Receptor Blockade. Arteriosclerosis Thrombosis and Vascular Biology. 33(9). 2172–2179. 60 indexed citations
3.
Kuang, Shao-Qing, Callie Kwartler, Limin Gong, et al.. (2012). Rare, Nonsynonymous Variant in the Smooth Muscle-Specific Isoform of Myosin Heavy Chain, MYH11 , R247C, Alters Force Generation in the Aorta and Phenotype of Smooth Muscle Cells. Circulation Research. 110(11). 1411–1422. 73 indexed citations
4.
Wierda, William G., E. Lin, Shao-Qing Kuang, et al.. (2010). Genome-wide DNA methylation profiling of chronic lymphocytic leukemia allows identification of epigenetically repressed molecular pathways with clinical impact. Epigenetics. 5(6). 499–508. 92 indexed citations
5.
Kuang, Shao-Qing, Hao Bai, Gonzalo López, et al.. (2010). Aberrant DNA methylation and epigenetic inactivation of Eph receptor tyrosine kinases and ephrin ligands in acute lymphoblastic leukemia. Blood. 115(12). 2412–2419. 81 indexed citations
6.
Wei, Yue, William Stevenson, Shao-Qing Kuang, et al.. (2009). Preclinical antileukemia activity of JNJ-26481585, a potent second-generation histone deacetylase inhibitor. Leukemia Research. 34(2). 221–228. 20 indexed citations
7.
Villamizar, Carlos, Ellen S. Regalado, Sumera N. Hasham, et al.. (2009). Paucity of skeletal manifestations in hispanic families with FBN1 mutations. European Journal of Medical Genetics. 53(2). 80–84. 15 indexed citations
8.
Wang, Shu, Yuhui Yuan, Lan Liao, et al.. (2008). Disruption of the SRC-1 gene in mice suppresses breast cancer metastasis without affecting primary tumor formation. Proceedings of the National Academy of Sciences. 106(1). 151–156. 98 indexed citations
9.
Garcia‐Manero, Guillermo, Hui Yang, Shao-Qing Kuang, et al.. (2008). Epigenetics of Acute Lymphocytic Leukemia. Seminars in Hematology. 46(1). 24–32. 61 indexed citations
10.
Kim, Geun Hyang, So-Yeon Kim, Joong‐Yeol Park, et al.. (2006). Regulation of Insulin Secretion and β-Cell Mass by Activating Signal Cointegrator 2. Molecular and Cellular Biology. 26(12). 4553–4563. 19 indexed citations
11.
Kuang, Shao-Qing, Lan Liao, Shu Wang, et al.. (2005). Mice Lacking the Amplified in Breast Cancer 1/Steroid Receptor Coactivator-3 Are Resistant to Chemical Carcinogen–Induced Mammary Tumorigenesis. Cancer Research. 65(17). 7993–8002. 83 indexed citations
13.
Kuang, Shao-Qing, Lan Liao, Hao Zhang, et al.. (2004). AIB1/SRC-3 Deficiency Affects Insulin-Like Growth Factor I Signaling Pathway and Suppresses v -Ha- ras -induced Breast Cancer Initiation and Progression in Mice. Cancer Research. 64(5). 1875–1885. 153 indexed citations
14.
Zhang, Hao, Lan Liao, Shao-Qing Kuang, & Jianming Xu. (2003). Spatial Distribution of the Messenger Ribonucleic Acid and Protein of the Nuclear Receptor Coactivator, Amplified in Breast Cancer-3, in Mice. Endocrinology. 144(4). 1435–1443. 22 indexed citations
15.
Liao, Lan, Shao-Qing Kuang, Yuhui Yuan, et al.. (2002). Molecular structure and biological function of the cancer-amplified nuclear receptor coactivator SRC-3/AIB1. The Journal of Steroid Biochemistry and Molecular Biology. 83(1-5). 3–14. 98 indexed citations
16.
Guo, Dongchuan, Sumera N. Hasham, Shao-Qing Kuang, et al.. (2001). Familial Thoracic Aortic Aneurysms and Dissections. Circulation. 103(20). 2461–2468. 148 indexed citations
17.
Kuang, Shao-Qing, Sumera N. Hasham, Martin D. Phillips, et al.. (2001). Characterization of a novel autosomal dominant bleeding disorder in a large kindred from east Texas. Blood. 97(6). 1549–1554. 29 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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