Qunsheng Dai

874 total citations
17 papers, 667 citations indexed

About

Qunsheng Dai is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Qunsheng Dai has authored 17 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Qunsheng Dai's work include Estrogen and related hormone effects (4 papers), Sperm and Testicular Function (3 papers) and Reproductive System and Pregnancy (3 papers). Qunsheng Dai is often cited by papers focused on Estrogen and related hormone effects (4 papers), Sperm and Testicular Function (3 papers) and Reproductive System and Pregnancy (3 papers). Qunsheng Dai collaborates with scholars based in United States, Australia and China. Qunsheng Dai's co-authors include Edward M. Eddy, William D. Willis, Eugenia H. Goulding, Thomas M Price, John R. McCarrey, Deborah A. O’Brien, G. Barrie Kitto, Christopher B. Geyer, Brian H. Annex and Noriko Nakamura and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Journal of the American Society of Nephrology.

In The Last Decade

Qunsheng Dai

17 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qunsheng Dai United States 14 329 227 187 155 62 17 667
Gökhan Akkoyunlu Türkiye 19 412 1.3× 253 1.1× 147 0.8× 252 1.6× 40 0.6× 58 998
Winnie Shum United States 19 421 1.3× 318 1.4× 77 0.4× 226 1.5× 64 1.0× 30 866
I. Fontaine France 15 276 0.8× 301 1.3× 249 1.3× 176 1.1× 54 0.9× 28 707
Michelle Myers United Kingdom 16 331 1.0× 233 1.0× 117 0.6× 376 2.4× 60 1.0× 24 733
Rüdiger Schultz Finland 14 294 0.9× 203 0.9× 103 0.6× 88 0.6× 103 1.7× 22 777
Julie Dufresne Canada 15 328 1.0× 233 1.0× 61 0.3× 89 0.6× 46 0.7× 21 611
Xinchang Zhou China 7 376 1.1× 341 1.5× 351 1.9× 244 1.6× 191 3.1× 9 920
Xiaohui Li China 14 292 0.9× 275 1.2× 147 0.8× 295 1.9× 25 0.4× 43 756
Naoko Iguchi United States 21 552 1.7× 393 1.7× 386 2.1× 281 1.8× 24 0.4× 42 1.2k
Ruey-Sheng Wang Taiwan 5 201 0.6× 203 0.9× 199 1.1× 160 1.0× 181 2.9× 8 643

Countries citing papers authored by Qunsheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qunsheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qunsheng Dai. 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 Qunsheng Dai. The network helps show where Qunsheng Dai may publish in the future.

Co-authorship network of co-authors of Qunsheng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Qunsheng Dai. A scholar is included among the top collaborators of Qunsheng Dai 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 Qunsheng Dai. Qunsheng Dai 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.
Southerland, Kevin W., Yueyuan Xu, Derek Peters, et al.. (2023). Skeletal muscle regeneration failure in ischemic-damaged limbs is associated with pro-inflammatory macrophages and premature differentiation of satellite cells. Genome Medicine. 15(1). 95–95. 22 indexed citations
2.
Dai, Qunsheng, M.P. Provost, Douglas Raburn, & Thomas M Price. (2020). Progesterone Increases Mitochondria Membrane Potential in Non-human Primate Oocytes and Embryos. Reproductive Sciences. 27(5). 1206–1214. 7 indexed citations
3.
Dai, Qunsheng, Anthony L. Luz, Lan Mao, et al.. (2019). A Mitochondrial Progesterone Receptor Increases Cardiac Beta-Oxidation and Remodeling. Journal of the Endocrine Society. 3(2). 446–467. 16 indexed citations
4.
Dai, Qunsheng, Anthony L. Luz, Lan Mao, et al.. (2018). Data from: A mitochondrial progesterone receptor increases cardiac beta-oxidation and remodeling. Data Archiving and Networked Services (DANS). 1 indexed citations
5.
Dai, Qunsheng & Thomas M Price. (2015). The Role of a Mitochondrial Progesterone Receptor (PR-M) in Progesterone Action. Seminars in Reproductive Medicine. 33(3). 185–194. 23 indexed citations
6.
Dai, Qunsheng, et al.. (2014). Expression of a Mitochondrial Progesterone Receptor (PR-M) in Leiomyomata and Association With Increased Mitochondrial Membrane Potential. The Journal of Clinical Endocrinology & Metabolism. 99(3). E390–E399. 14 indexed citations
7.
Nakamura, Noriko, Qunsheng Dai, Jason G. Williams, et al.. (2013). Disruption of a Spermatogenic Cell-Specific Mouse Enolase 4 (Eno4) Gene Causes Sperm Structural Defects and Male Infertility1. Biology of Reproduction. 88(4). 90–90. 74 indexed citations
8.
Dai, Qunsheng, Anish Shah, Bryan Yonish, et al.. (2013). A Truncated Progesterone Receptor (PR-M) Localizes to the Mitochondrion and Controls Cellular Respiration. Molecular Endocrinology. 27(5). 741–753. 38 indexed citations
9.
Dai, Qunsheng, et al.. (2010). Modulation of ATP-induced calcium signaling by progesterone in T47D-Y breast cancer cells. Molecular and Cellular Endocrinology. 319(1-2). 109–115. 12 indexed citations
10.
Geyer, Christopher B., Qunsheng Dai, Eugenia H. Goulding, et al.. (2009). Phosphoglycerate Kinase 2 (PGK2) Is Essential for Sperm Function and Male Fertility in Mice1. Biology of Reproduction. 82(1). 136–145. 196 indexed citations
11.
Behera, Millie A., et al.. (2009). Progesterone stimulates mitochondrial activity with subsequent inhibition of apoptosis in MCF-10A benign breast epithelial cells. American Journal of Physiology-Endocrinology and Metabolism. 297(5). E1089–E1096. 31 indexed citations
12.
O’Bryan, Moira K., Shuji Takada, Greg Scott, et al.. (2008). Sox8 is a critical regulator of adult Sertoli cell function and male fertility. Developmental Biology. 316(2). 359–370. 84 indexed citations
13.
Wang, Liming, Timothy A. Fields, Qunsheng Dai, et al.. (2005). Activation of Gαq-Coupled Signaling Pathways in Glomerular Podocytes Promotes Renal Injury. Journal of the American Society of Nephrology. 16(12). 3611–3622. 28 indexed citations
14.
Dai, Qunsheng, Jianhua Huang, Bruce Klitzman, et al.. (2004). Engineered Zinc Finger–Activating Vascular Endothelial Growth Factor Transcription Factor Plasmid DNA Induces Therapeutic Angiogenesis in Rabbits With Hindlimb Ischemia. Circulation. 110(16). 2467–2475. 57 indexed citations
15.
White, David, Qunsheng Dai, Anne M. Pippen, et al.. (2003). Vascular rarefaction in peripheral skeletal muscle after experimental heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 285(4). H1554–H1562. 25 indexed citations
16.
Dai, Qunsheng, Ari D. Silverstein, Mark G. Davies, et al.. (2003). Systemic Basic Fibroblast Growth Factor Induces Favorable Histological Changes in the Corpus Cavernosum of Hypercholesterolemic Rabbits. The Journal of Urology. 170(2). 664–668. 20 indexed citations
17.

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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