Xiao-Qing Dai

2.6k total citations
42 papers, 1.5k citations indexed

About

Xiao-Qing Dai is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Xiao-Qing Dai has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 23 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Xiao-Qing Dai's work include Pancreatic function and diabetes (28 papers), Diabetes and associated disorders (12 papers) and Diabetes Management and Research (7 papers). Xiao-Qing Dai is often cited by papers focused on Pancreatic function and diabetes (28 papers), Diabetes and associated disorders (12 papers) and Diabetes Management and Research (7 papers). Xiao-Qing Dai collaborates with scholars based in Canada, United States and China. Xiao-Qing Dai's co-authors include Patrick E. MacDonald, Jocelyn E. Manning Fox, Austin Bautista, Kunimasa Suzuki, Seung K. Kim, Stephen R. Quake, James Lyon, Mourad Ferdaoussi, Joan Camuñas-Soler and Xiufang Xiong and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiao-Qing Dai

38 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao-Qing Dai Canada 21 795 782 491 398 149 42 1.5k
Ercument Dirice United States 25 844 1.1× 822 1.1× 488 1.0× 359 0.9× 81 0.5× 45 1.6k
Cristina Alarcón United States 20 763 1.0× 986 1.3× 396 0.8× 549 1.4× 231 1.6× 31 1.5k
Pili Zhang United States 18 637 0.8× 626 0.8× 335 0.7× 362 0.9× 81 0.5× 22 1.5k
Eric L. Ford United States 18 594 0.7× 981 1.3× 368 0.7× 551 1.4× 145 1.0× 20 1.9k
Corentin Cras‐Méneur United States 22 1.1k 1.4× 1.3k 1.6× 513 1.0× 525 1.3× 206 1.4× 32 2.3k
Mathieu Armanet France 20 610 0.8× 1.4k 1.8× 823 1.7× 779 2.0× 120 0.8× 38 1.9k
Florent Allagnat Switzerland 26 669 0.8× 918 1.2× 426 0.9× 272 0.7× 435 2.9× 60 1.8k
Z. Ling Belgium 17 532 0.7× 1.2k 1.5× 598 1.2× 696 1.7× 103 0.7× 28 1.5k
Danielle Melloul Israel 21 1.2k 1.5× 1.4k 1.9× 1.0k 2.0× 633 1.6× 174 1.2× 37 2.2k
Isabella Artner Sweden 22 1.1k 1.4× 1.7k 2.2× 1.1k 2.3× 700 1.8× 114 0.8× 40 2.2k

Countries citing papers authored by Xiao-Qing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Qing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Qing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Qing Dai. A scholar is included among the top collaborators of Xiao-Qing 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 Xiao-Qing Dai. Xiao-Qing Dai 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.
Stead, John D. H., Hyojin Lee, Xiao-Qing Dai, et al.. (2025). Cisplatin Exposure Dysregulates Insulin Secretion in Male and Female Mice. Diabetes. 74(4). 528–543.
2.
Dai, Xiao-Qing, Cuilan Nian, Paul C. Orban, et al.. (2024). An INSULIN and IAPP dual reporter enables tracking of functional maturation of stem cell-derived insulin producing cells. Molecular Metabolism. 89. 102017–102017. 1 indexed citations
3.
Chen, Yi‐Chun, James Fulcher, Adam Swensen, et al.. (2023). Deletion of Carboxypeptidase E in β-Cells Disrupts Proinsulin Processing but Does Not Lead to Spontaneous Development of Diabetes in Mice. Diabetes. 72(9). 1277–1288. 9 indexed citations
4.
Dai, Xiao-Qing, Cara E. Ellis, Robin L. Jones, et al.. (2022). Investigating Alpha and Beta Cell Phenotypes in Type 1 Diabetes. Canadian Journal of Diabetes. 46(7). S6–S7. 1 indexed citations
5.
Shrestha, Shristi, Diane C. Saunders, John T. Walker, et al.. (2021). Combinatorial transcription factor profiles predict mature and functional human islet α and β cells. JCI Insight. 6(18). 27 indexed citations
6.
Camuñas-Soler, Joan, Xiao-Qing Dai, Yan Hang, et al.. (2020). Patch-Seq Links Single-Cell Transcriptomes to Human Islet Dysfunction in Diabetes. Cell Metabolism. 31(5). 1017–1031.e4. 179 indexed citations
7.
Cui, Danrui, Xiufang Xiong, Jianfeng Shu, et al.. (2020). FBXW7 Confers Radiation Survival by Targeting p53 for Degradation. Cell Reports. 30(2). 497–509.e4. 65 indexed citations
8.
Fu, Jianyang, Xiao-Qing Dai, Gregory Plummer, et al.. (2019). A glucose-dependent spatial patterning of exocytosis in human β cells is disrupted in type 2 diabetes. JCI Insight. 4(12). 19 indexed citations
9.
Chen, Xiaoyu, Xiufang Xiong, Danrui Cui, et al.. (2019). DEPTOR is an in vivo tumor suppressor that inhibits prostate tumorigenesis via the inactivation of mTORC1/2 signals. Oncogene. 39(7). 1557–1571. 36 indexed citations
10.
Cui, Danrui, Xiao-Qing Dai, Jianfeng Shu, et al.. (2019). The cross talk of two family members of β-TrCP in the regulation of cell autophagy and growth. Cell Death and Differentiation. 27(3). 1119–1133. 38 indexed citations
11.
Dai, Xiao-Qing, Joan Soler, Linford J.B. Briant, et al.. (2018). Pancreatic Alpha-Cell Function and Identity in Human T2D. Diabetes. 67(Supplement_1).
12.
Ferdaoussi, Mourad, Jianyang Fu, Xiao-Qing Dai, et al.. (2017). SUMOylation and calcium control syntaxin-1A and secretagogin sequestration by tomosyn to regulate insulin exocytosis in human ß cells. Scientific Reports. 7(1). 248–248. 32 indexed citations
13.
Chakravarthy, Harini, Xueying Gu, Martin Enge, et al.. (2017). Converting Adult Pancreatic Islet α Cells into β Cells by Targeting Both Dnmt1 and Arx. Cell Metabolism. 25(3). 622–634. 161 indexed citations
15.
Fu, Accalia, Karine Robitaille, Brandon Faubert, et al.. (2015). LKB1 couples glucose metabolism to insulin secretion in mice. Diabetologia. 58(7). 1513–1522. 22 indexed citations
16.
Bunt, Martijn van de, Jocelyn E. Manning Fox, Xiao-Qing Dai, et al.. (2015). Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream Effectors. PLoS Genetics. 11(12). e1005694–e1005694. 105 indexed citations
17.
Gooding, Jessica, Mette V. Jensen, Xiao-Qing Dai, et al.. (2015). Adenylosuccinate Is an Insulin Secretagogue Derived from Glucose-Induced Purine Metabolism. Cell Reports. 13(1). 157–167. 75 indexed citations
18.
Hamming, Kevin S.C., Daniel Soliman, Nicola J. Webster, et al.. (2010). Inhibition of β-Cell Sodium-Calcium Exchange Enhances Glucose-Dependent Elevations in Cytoplasmic Calcium and Insulin Secretion. Diabetes. 59(7). 1686–1693. 28 indexed citations
19.
Dai, Xiao-Qing, Jelena Kolic, Paolo Marchi, Simonetta Sipione, & Patrick E. MacDonald. (2009). SUMOylation regulates Kv2.1 and modulates pancreatic β-cell excitability. Journal of Cell Science. 122(6). 775–779. 75 indexed citations
20.
Cai, Lun, et al.. (2001). Effects of lead exposure on long-term potentiation induced by 2-deoxy-d-glucose in area CA1 of rat hippocampus in vitro. Neurotoxicology and Teratology. 23(5). 481–487. 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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