Zhong‐Dong Shi

2.4k total citations
25 papers, 1.8k citations indexed

About

Zhong‐Dong Shi is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Zhong‐Dong Shi has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Cell Biology and 4 papers in Surgery. Recurrent topics in Zhong‐Dong Shi's work include Angiogenesis and VEGF in Cancer (9 papers), Pluripotent Stem Cells Research (6 papers) and CRISPR and Genetic Engineering (6 papers). Zhong‐Dong Shi is often cited by papers focused on Angiogenesis and VEGF in Cancer (9 papers), Pluripotent Stem Cells Research (6 papers) and CRISPR and Genetic Engineering (6 papers). Zhong‐Dong Shi collaborates with scholars based in United States and China. Zhong‐Dong Shi's co-authors include John M. Tarbell, Danwei Huangfu, Henry Qazi, Zeng‐Rong Zhu, Nipun Verma, Xin‐Ying Ji, Federico Gonzãlez, Qing V. Li, Katherine M. Lelli and Limary M. Cancel and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Cell stem cell.

In The Last Decade

Zhong‐Dong Shi

23 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhong‐Dong Shi United States 18 985 375 337 293 206 25 1.8k
Laure Gambardella United Kingdom 23 1.3k 1.3× 206 0.5× 355 1.1× 294 1.0× 169 0.8× 30 2.2k
Sergey Rodin Sweden 23 1.2k 1.2× 548 1.5× 306 0.9× 399 1.4× 240 1.2× 61 2.1k
Shiwen Zhang China 22 893 0.9× 332 0.9× 404 1.2× 194 0.7× 191 0.9× 59 1.9k
Elias T. Zambidis United States 29 2.2k 2.3× 382 1.0× 375 1.1× 444 1.5× 294 1.4× 61 3.3k
Martin Sandig Canada 24 642 0.7× 250 0.7× 322 1.0× 269 0.9× 146 0.7× 44 1.6k
Manimalha Balasubramani United States 21 790 0.8× 230 0.6× 412 1.2× 325 1.1× 114 0.6× 29 1.9k
Irina Arnaoutova United States 15 953 1.0× 562 1.5× 441 1.3× 340 1.2× 430 2.1× 23 2.1k
Rachel L. Lewis United States 12 1.6k 1.6× 481 1.3× 338 1.0× 368 1.3× 197 1.0× 18 2.1k
Il Ho Jang South Korea 28 1.7k 1.7× 367 1.0× 827 2.5× 276 0.9× 334 1.6× 62 2.8k
M. Gabriele Bixel Germany 22 846 0.9× 192 0.5× 189 0.6× 116 0.4× 200 1.0× 34 1.8k

Countries citing papers authored by Zhong‐Dong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhong‐Dong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhong‐Dong Shi. 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 Zhong‐Dong Shi. The network helps show where Zhong‐Dong Shi may publish in the future.

Co-authorship network of co-authors of Zhong‐Dong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong‐Dong Shi. A scholar is included among the top collaborators of Zhong‐Dong Shi 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 Zhong‐Dong Shi. Zhong‐Dong Shi 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.
2.
Shi, Zhong‐Dong, Jason Tchao, Ling Wu, & Aaron J. Carman. (2020). Precision installation of a highly efficient suicide gene safety switch in human induced pluripotent stem cells. Stem Cells Translational Medicine. 9(11). 1378–1388. 37 indexed citations
3.
Shi, Zhong‐Dong, Chew-Li Soh, Zeng‐Rong Zhu, & Danwei Huangfu. (2017). Genome Editing and Directed Differentiation of hPSCs for Interrogating Lineage Determinants in Human Pancreatic Development. Journal of Visualized Experiments. 3 indexed citations
4.
Shi, Zhong‐Dong, Chew-Li Soh, Zeng‐Rong Zhu, & Danwei Huangfu. (2017). Genome Editing and Directed Differentiation of hPSCs for Interrogating Lineage Determinants in Human Pancreatic Development. Journal of Visualized Experiments. 1 indexed citations
5.
Shi, Zhong‐Dong, Kihyun Lee, Dapeng Yang, et al.. (2017). Genome Editing in hPSCs Reveals GATA6 Haploinsufficiency and a Genetic Interaction with GATA4 in Human Pancreatic Development. Cell stem cell. 20(5). 675–688.e6. 123 indexed citations
6.
Gonzãlez, Federico, Zeng‐Rong Zhu, Zhong‐Dong Shi, et al.. (2014). An iCRISPR Platform for Rapid, Multiplexable, and Inducible Genome Editing in Human Pluripotent Stem Cells. Cell stem cell. 15(2). 215–226. 352 indexed citations
7.
Qazi, Henry, et al.. (2013). Cancer cell glycocalyx mediates mechanotransduction and flow-regulated invasion. Integrative Biology. 5(11). 1334–1343. 75 indexed citations
8.
Gonzãlez, Federico, Fabio Vanoli, Zhong‐Dong Shi, et al.. (2013). Homologous Recombination DNA Repair Genes Play a Critical Role in Reprogramming to a Pluripotent State. Cell Reports. 3(3). 651–660. 62 indexed citations
9.
Tarbell, John M. & Zhong‐Dong Shi. (2012). Effect of the glycocalyx layer on transmission of interstitial flow shear stress to embedded cells. Biomechanics and Modeling in Mechanobiology. 12(1). 111–121. 74 indexed citations
10.
Chen, Jing, Zhong‐Dong Shi, Xin‐Ying Ji, et al.. (2012). Enhanced Osteogenesis of Human Mesenchymal Stem Cells by Periodic Heat Shock in Self-Assembling Peptide Hydrogel. Tissue Engineering Part A. 19(5-6). 716–728. 121 indexed citations
11.
12.
Qazi, Henry, Zhong‐Dong Shi, & John M. Tarbell. (2011). Fluid Shear Stress Regulates the Invasive Potential of Glioma Cells via Modulation of Migratory Activity and Matrix Metalloproteinase Expression. PLoS ONE. 6(5). e20348–e20348. 87 indexed citations
13.
Shi, Zhong‐Dong, Hui Wang, & John M. Tarbell. (2011). Heparan Sulfate Proteoglycans Mediate Interstitial Flow Mechanotransduction Regulating MMP-13 Expression and Cell Motility via FAK-ERK in 3D Collagen. PLoS ONE. 6(1). e15956–e15956. 69 indexed citations
14.
Shi, Zhong‐Dong & John M. Tarbell. (2011). Fluid Flow Mechanotransduction in Vascular Smooth Muscle Cells and Fibroblasts. Annals of Biomedical Engineering. 39(6). 1608–1619. 180 indexed citations
15.
Shi, Zhong‐Dong, et al.. (2011). Heparan sulfate proteoglycan mediates shear stress‐induced endothelial gene expression in mouse embryonic stem cell‐derived endothelial cells. Biotechnology and Bioengineering. 109(2). 583–594. 48 indexed citations
16.
Li, Guanglei, Melissa J. Simon, Limary M. Cancel, et al.. (2010). Permeability of Endothelial and Astrocyte Cocultures: In Vitro Blood–Brain Barrier Models for Drug Delivery Studies. Annals of Biomedical Engineering. 38(8). 2499–2511. 192 indexed citations
17.
18.
Shi, Zhong‐Dong, Xin‐Ying Ji, Henry Qazi, & John M. Tarbell. (2009). Interstitial flow promotes vascular fibroblast, myofibroblast, and smooth muscle cell motility in 3-D collagen I via upregulation of MMP-1. American Journal of Physiology-Heart and Circulatory Physiology. 297(4). H1225–H1234. 77 indexed citations
19.
Shi, Zhong‐Dong, et al.. (2007). Effects of fluid shear stress on adventitial fibroblast migration: implications for flow-mediated mechanisms of arterialization and intimal hyperplasia. American Journal of Physiology-Heart and Circulatory Physiology. 292(6). H3128–H3135. 33 indexed citations
20.
Shi, Zhong‐Dong, et al.. (2003). Biological Responses of Suspension Cultures of Taxus chinensis var. mairei to Shear Stresses in the Short Term. Applied Biochemistry and Biotechnology. 110(2). 61–74. 12 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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