Zengdun Shi

1.2k total citations
19 papers, 963 citations indexed

About

Zengdun Shi is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Zengdun Shi has authored 19 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 11 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Zengdun Shi's work include Liver physiology and pathology (12 papers), Liver Disease Diagnosis and Treatment (7 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Zengdun Shi is often cited by papers focused on Liver physiology and pathology (12 papers), Liver Disease Diagnosis and Treatment (7 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Zengdun Shi collaborates with scholars based in United States, Canada and Russia. Zengdun Shi's co-authors include Don C. Rockey, Adil E. Wakil, Liam J. Murphy, Wenzhong Xu, Ulla M. Wewer, Frosty Loechel, Josef V. Silha, Susan K. Durham, Adisak Suwanichkul and D.R. Powell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Zengdun Shi

19 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zengdun Shi United States 12 330 316 294 168 118 19 963
Nian‐Ling Zhu United States 12 392 1.2× 237 0.8× 304 1.0× 47 0.3× 139 1.2× 13 832
E. Scott Swenson United States 13 329 1.0× 211 0.7× 147 0.5× 118 0.7× 198 1.7× 17 818
Steffen K. Meurer Germany 21 452 1.4× 243 0.8× 235 0.8× 35 0.2× 156 1.3× 38 1.0k
Jeffrey N. Lindquist United States 9 576 1.7× 570 1.8× 555 1.9× 77 0.5× 193 1.6× 12 1.5k
Carmen G. Tag Germany 15 337 1.0× 399 1.3× 317 1.1× 27 0.2× 215 1.8× 26 988
Juanli Duan China 19 591 1.8× 253 0.8× 270 0.9× 40 0.2× 126 1.1× 34 1.1k
Pia Rantakari Finland 22 565 1.7× 140 0.4× 294 1.0× 137 0.8× 159 1.3× 46 1.5k
Wenfang Tian China 17 588 1.8× 138 0.4× 232 0.8× 39 0.2× 94 0.8× 34 1.1k
Shoko Kuroda Japan 17 363 1.1× 160 0.5× 174 0.6× 49 0.3× 53 0.4× 24 1.1k
Christopher Benyon United Kingdom 7 210 0.6× 569 1.8× 463 1.6× 29 0.2× 198 1.7× 8 990

Countries citing papers authored by Zengdun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zengdun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengdun Shi

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

All Works

19 of 19 papers shown
1.
Shi, Zengdun, et al.. (2023). Paxillin regulates liver fibrosis via actin polymerization and ERK activation in hepatic stellate cells. Journal of Cell Science. 136(18). 6 indexed citations
2.
Taylor, Sarah A., Susan C. Hubchak, Takao Iwawaki, et al.. (2022). Mechanisms of liver injury in high fat sugar diet fed mice that lack hepatocyte X-box binding protein 1. PLoS ONE. 17(1). e0261789–e0261789. 11 indexed citations
3.
Rockey, Don C., et al.. (2022). The cellular microenvironment and cytoskeletal actin dynamics in liver fibrogenesis. Biocell. 46(9). 2003–2007. 5 indexed citations
4.
Zhang, Zhentao, Wenhui Zhang, Zengdun Shi, et al.. (2022). Fibroblast fate determination during cardiac reprogramming by remodeling of actin filaments. Stem Cell Reports. 17(7). 1604–1619. 7 indexed citations
5.
Shi, Zengdun, et al.. (2022). Characterization of focal adhesion proteins in rodent hepatic stellate cells. Histochemistry and Cell Biology. 158(4). 325–334. 1 indexed citations
6.
Shi, Zengdun, Mudan Ren, & Don C. Rockey. (2020). Myocardin and myocardin-related transcription factor-A synergistically mediate actin cytoskeletal-dependent inhibition of liver fibrogenesis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 318(3). G504–G517. 18 indexed citations
7.
Rockey, Don C., et al.. (2019). Smooth Muscle α-Actin Deficiency Leads to Decreased Liver Fibrosis via Impaired Cytoskeletal Signaling in Hepatic Stellate Cells. American Journal Of Pathology. 189(11). 2209–2220. 46 indexed citations
8.
Shi, Zengdun & Don C. Rockey. (2017). Upregulation of the actin cytoskeleton via myocardin leads to increased expression of type 1 collagen. Laboratory Investigation. 97(12). 1412–1426. 26 indexed citations
9.
Shi, Zengdun & Don C. Rockey. (2017). MRTF-A/SRF Inhibition Ameliorates Liver Fibrosis via Inhibition of Type I Collagen Expression in Hepatic Stellate Cells. Gastroenterology. 152(5). S1104–S1104. 2 indexed citations
10.
Rehman, Hasibur, Qinlong Liu, Yasodha Krishnasamy, et al.. (2016). The mitochondria-targeted antioxidant MitoQ attenuates liver fibrosis in mice.. PubMed. 8(1). 14–27. 63 indexed citations
11.
Rockey, Don C., et al.. (2013). Smooth Muscle α Actin (Acta2) and Myofibroblast Function during Hepatic Wound Healing. PLoS ONE. 8(10). e77166–e77166. 142 indexed citations
12.
Li, Tianxia, Zengdun Shi, & Don C. Rockey. (2012). Preproendothelin-1 expression is negatively regulated by IFNγ during hepatic stellate cell activation. American Journal of Physiology-Gastrointestinal and Liver Physiology. 302(9). G948–G957. 19 indexed citations
13.
Shi, Zengdun, et al.. (2011). Smooth muscle α actin is specifically required for the maintenance of lactation. Developmental Biology. 363(1). 1–14. 23 indexed citations
14.
Shi, Zengdun & Don C. Rockey. (2010). Interferon-γ-mediated Inhibition of Serum Response Factor-dependent Smooth Muscle-specific Gene Expression. Journal of Biological Chemistry. 285(42). 32415–32424. 21 indexed citations
15.
Shao, Rong, Zengdun Shi, Philip J. Gotwals, et al.. (2003). Cell and Molecular Regulation of Endothelin-1 Production during Hepatic Wound Healing. Molecular Biology of the Cell. 14(6). 2327–2341. 35 indexed citations
16.
Modric, Tomislav, Josef V. Silha, Zengdun Shi, et al.. (2001). Phenotypic Manifestations of Insulin-Like Growth Factor-Binding Protein-3 Overexpression in Transgenic Mice*. Endocrinology. 142(5). 1958–1967. 124 indexed citations
17.
Shi, Zengdun, Wenzhong Xu, Frosty Loechel, Ulla M. Wewer, & Liam J. Murphy. (2000). ADAM 12, a Disintegrin Metalloprotease, Interacts with Insulin-like Growth Factor-binding Protein-3. Journal of Biological Chemistry. 275(24). 18574–18580. 155 indexed citations
18.
Lu, Xinping, Zengdun Shi, & Liam J. Murphy. (1999). Growth hormone suppression of insulin-like growth factor binding protein-1 promoter activity. Molecular and Cellular Endocrinology. 149(1-2). 19–28. 11 indexed citations
19.
Shi, Zengdun, Adil E. Wakil, & Don C. Rockey. (1997). Strain-specific differences in mouse hepatic wound healing are mediated by divergent T helper cytokine responses. Proceedings of the National Academy of Sciences. 94(20). 10663–10668. 248 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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