Guoqiang Gu

6.5k total citations · 3 hit papers
56 papers, 4.8k citations indexed

About

Guoqiang Gu is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Guoqiang Gu has authored 56 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Surgery, 27 papers in Genetics and 24 papers in Molecular Biology. Recurrent topics in Guoqiang Gu's work include Pancreatic function and diabetes (48 papers), Diabetes and associated disorders (20 papers) and Metabolism, Diabetes, and Cancer (12 papers). Guoqiang Gu is often cited by papers focused on Pancreatic function and diabetes (48 papers), Diabetes and associated disorders (20 papers) and Metabolism, Diabetes, and Cancer (12 papers). Guoqiang Gu collaborates with scholars based in United States, Japan and Switzerland. Guoqiang Gu's co-authors include Douglas A. Melton, Yanwen Xu, Juliana Brown, Sui Wang, Aizhen Zhao, Ben Z. Stanger, Jan Jensen, Anna L. Means, Kevin C. Ray and Mark A. Magnuson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Guoqiang Gu

52 papers receiving 4.7k citations

Hit Papers

Direct evidence for the p... 2002 2026 2010 2018 2002 2014 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoqiang Gu United States 29 3.7k 2.2k 1.9k 1.2k 475 56 4.8k
Patrick Jacquemin Belgium 31 2.0k 0.5× 2.1k 0.9× 868 0.4× 318 0.3× 413 0.9× 64 3.9k
Maike Sander United States 18 1.6k 0.4× 1.5k 0.7× 891 0.5× 431 0.3× 166 0.3× 23 2.7k
Xueying Gu United States 27 2.1k 0.6× 1.8k 0.8× 1.3k 0.7× 915 0.7× 426 0.9× 41 3.7k
Ergeng Hao United States 24 1.7k 0.5× 1.9k 0.9× 938 0.5× 733 0.6× 182 0.4× 40 3.1k
Michael Ray United States 9 2.2k 0.6× 1.4k 0.7× 1.4k 0.7× 651 0.5× 431 0.9× 10 2.8k
Paul Gadue United States 34 1.1k 0.3× 3.5k 1.6× 560 0.3× 122 0.1× 301 0.6× 89 4.9k
Patricia L. M. Dahia United States 41 3.1k 0.8× 4.1k 1.9× 728 0.4× 3.0k 2.4× 1.1k 2.4× 103 8.6k
Micheala A. Aldred United States 32 411 0.1× 1.6k 0.8× 585 0.3× 258 0.2× 271 0.6× 80 4.0k
Lawrence S. Kirschner United States 36 2.0k 0.5× 1.6k 0.7× 431 0.2× 1.5k 1.2× 1.5k 3.2× 100 5.4k
Fong Cheng Pan United States 16 1.3k 0.3× 995 0.5× 633 0.3× 372 0.3× 564 1.2× 19 2.0k

Countries citing papers authored by Guoqiang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Guoqiang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqiang Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Gu. A scholar is included among the top collaborators of Guoqiang Gu 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 Guoqiang Gu. Guoqiang Gu 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.
Hu, Ruiying, Prasanna K. Dadi, Alan J. Simmons, et al.. (2025). Pancreatic islet β-cell subtypes are derived from biochemically-distinct and nutritionally-regulated islet progenitors. Nature Communications. 16(1). 5758–5758.
3.
Osipovich, Anna B., et al.. (2023). CAMSAP2 localizes to the Golgi in islet β-cells and facilitates Golgi-ER trafficking. iScience. 26(2). 105938–105938. 3 indexed citations
4.
Osipovich, Anna B., Emily Greenfest‐Allen, Jean‐Philippe Cartailler, et al.. (2021). A developmental lineage-based gene co-expression network for mouse pancreatic β-cells reveals a role for Zfp800 in pancreas development. Development. 148(6). 16 indexed citations
6.
Hu, Ruiying, Emily M. Walker, Chen Huang, et al.. (2020). Myt Transcription Factors Prevent Stress-Response Gene Overactivation to Enable Postnatal Pancreatic β Cell Proliferation, Function, and Survival. Developmental Cell. 53(4). 390–405.e10. 14 indexed citations
7.
Bankaitis, Eric D., Matthew E. Bechard, Guoqiang Gu, Mark A. Magnuson, & Christopher V.E. Wright. (2018). ROCK-nmMyoII, Notch and Neurog3 gene-dosage link epithelial morphogenesis with cell fate in the pancreatic endocrine-progenitor niche. Development. 145(18). 16 indexed citations
8.
Huang, Chen & Guoqiang Gu. (2017). Effective Isolation of Functional Islets from Neonatal Mouse Pancreas. Journal of Visualized Experiments. 12 indexed citations
9.
Zhu, Xiaodong, Ruiying Hu, Marcela Briššová, et al.. (2015). Microtubules Negatively Regulate Insulin Secretion in Pancreatic β Cells. Developmental Cell. 34(6). 656–668. 78 indexed citations
10.
Sancho, Rocı́o, Ralph Gruber, Guoqiang Gu, & Axel Behrens. (2014). Loss of Fbw7 Reprograms Adult Pancreatic Ductal Cells into α, δ, and β Cells. Cell stem cell. 15(2). 139–153. 112 indexed citations
11.
Yanger, Kilangsungla, David Knigin, Yiwei Zong, et al.. (2014). Adult Hepatocytes Are Generated by Self-Duplication Rather than Stem Cell Differentiation. Cell stem cell. 15(3). 340–349. 320 indexed citations breakdown →
12.
Hickey, Raymond, Feorillo Galivo, Jonathan Schug, et al.. (2013). Generation of islet-like cells from mouse gall bladder by direct ex vivo reprogramming. Stem Cell Research. 11(1). 503–515. 37 indexed citations
13.
Scholten, David, Christoph H. Österreicher, Keiko Iwaisako, et al.. (2010). Genetic Labeling Does Not Detect Epithelial-to-Mesenchymal Transition of Cholangiocytes in Liver Fibrosis in Mice. Gastroenterology. 139(3). 987–998. 179 indexed citations
14.
Wang, Sui, Jan Jensen, Philip A. Seymour, et al.. (2009). Sustained Neurog3 expression in hormone-expressing islet cells is required for endocrine maturation and function. Proceedings of the National Academy of Sciences. 106(24). 9715–9720. 137 indexed citations
15.
Wang, Sui, Jingbo Yan, Daniel A. Anderson, et al.. (2009). Neurog3 gene dosage regulates allocation of endocrine and exocrine cell fates in the developing mouse pancreas. Developmental Biology. 339(1). 26–37. 107 indexed citations
16.
Artner, Isabella, Yan Hang, Min Guo, Guoqiang Gu, & Roland Stein. (2008). MafA is a dedicated activator of the insulin gene in vivo. Journal of Endocrinology. 198(2). 271–279. 40 indexed citations
17.
Wang, Sui, Jacob Hecksher‐Sørensen, Yanwen Xu, et al.. (2008). Myt1 and Ngn3 form a feed-forward expression loop to promote endocrine islet cell differentiation. Developmental Biology. 317(2). 531–540. 72 indexed citations
18.
Wang, Sui, Jia Zhang, Aizhen Zhao, et al.. (2007). Loss of Myt1 function partially compromises endocrine islet cell differentiation and pancreatic physiological function in the mouse. Mechanisms of Development. 124(11-12). 898–910. 57 indexed citations
19.
Xu, Yanwen, Sui Wang, Jia Zhang, et al.. (2006). The fringe molecules induce endocrine differentiation in embryonic endoderm by activating cMyt1/cMyt3. Developmental Biology. 297(2). 340–349. 21 indexed citations
20.
Gu, Guoqiang, Juliana Brown, & Douglas A. Melton. (2002). Direct lineage tracing reveals the ontogeny of pancreatic cell fates during mouse embryogenesis. Mechanisms of Development. 120(1). 35–43. 170 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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