Shenghan Chen

2.1k total citations
33 papers, 1.6k citations indexed

About

Shenghan Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Shenghan Chen has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 9 papers in Cancer Research. Recurrent topics in Shenghan Chen's work include Protease and Inhibitor Mechanisms (8 papers), Peptidase Inhibition and Analysis (7 papers) and Heart Failure Treatment and Management (5 papers). Shenghan Chen is often cited by papers focused on Protease and Inhibitor Mechanisms (8 papers), Peptidase Inhibition and Analysis (7 papers) and Heart Failure Treatment and Management (5 papers). Shenghan Chen collaborates with scholars based in China, United States and Canada. Shenghan Chen's co-authors include Qingyu Wu, Jianhao Peng, Ningzheng Dong, Yiqing Zhou, Yujie Cui, Jingjing Jiang, Shannon S. Wu, William G. Ondo, Shaoqi Rao and Qīng Wáng and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Shenghan Chen

33 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenghan Chen China 18 685 551 209 172 164 33 1.6k
Chiranjib Dasgupta United States 26 249 0.4× 1.1k 2.0× 336 1.6× 132 0.8× 150 0.9× 53 2.1k
Praphulla Chandra Shukla India 17 555 0.8× 784 1.4× 36 0.2× 262 1.5× 221 1.3× 39 1.8k
Simon Tual‐Chalot United Kingdom 24 258 0.4× 798 1.4× 31 0.1× 156 0.9× 234 1.4× 52 1.7k
Ceren Eyileten Poland 24 393 0.6× 747 1.4× 29 0.1× 169 1.0× 140 0.9× 83 1.7k
Naohiro Yoshida Japan 20 370 0.5× 337 0.6× 80 0.4× 155 0.9× 285 1.7× 51 1.3k
Kristin Ellison United States 23 1.6k 2.3× 1.2k 2.2× 66 0.3× 75 0.4× 120 0.7× 46 2.9k
Hana Totary-Jain United States 20 207 0.3× 786 1.4× 87 0.4× 95 0.6× 152 0.9× 24 1.5k
Silvia Garibaldi Italy 18 194 0.3× 251 0.5× 88 0.4× 57 0.3× 102 0.6× 38 1.1k
Toru Sugiyama Japan 20 199 0.3× 303 0.5× 40 0.2× 190 1.1× 77 0.5× 46 1.2k
Daniella Brasacchio Australia 11 144 0.2× 1.0k 1.8× 78 0.4× 142 0.8× 230 1.4× 16 1.9k

Countries citing papers authored by Shenghan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shenghan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shenghan Chen. A scholar is included among the top collaborators of Shenghan Chen 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 Shenghan Chen. Shenghan Chen 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.
Chen, Liping, et al.. (2024). Alteration of N-glycosylation of CDON promotes H2O2-induced DNA damage in H9c2 cardiomyocytes. The International Journal of Biochemistry & Cell Biology. 176. 106671–106671. 1 indexed citations
2.
Yu, Zhenping, et al.. (2022). Chronological attenuation of NPRA/PKG/AMPK signaling promotes vascular aging and elevates blood pressure. Aging Cell. 21(9). e13699–e13699. 12 indexed citations
3.
Chen, Liping, et al.. (2022). Pcsk6 Deficiency Promotes Cardiomyocyte Senescence by Modulating Ddit3-Mediated ER Stress. Genes. 13(4). 711–711. 13 indexed citations
4.
Chen, Liping, et al.. (2022). Null Function of Npr1 Disturbs Immune Response in Colonic Inflammation During Early Postnatal Stage. Inflammation. 45(6). 2419–2432. 2 indexed citations
5.
Zou, Zhiwen, et al.. (2018). Conserved signaling pathways genetically associated with longevity across the species. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(7). 1745–1755. 24 indexed citations
6.
Song, Chun, Han Yan, Hanming Wang, et al.. (2018). AQR is a novel type 2 diabetes-associated gene that regulates signaling pathways critical for glucose metabolism. Journal of genetics and genomics. 45(2). 111–120. 14 indexed citations
7.
Chen, Shenghan, Pengxiu Cao, Ningzheng Dong, et al.. (2015). PCSK6-mediated corin activation is essential for normal blood pressure. Nature Medicine. 21(9). 1048–1053. 104 indexed citations
8.
Wang, Hao, Tiantian Zhou, Jianhao Peng, et al.. (2014). Distinct Roles of N-Glycosylation at Different Sites of Corin in Cell Membrane Targeting and Ectodomain Shedding. Journal of Biological Chemistry. 290(3). 1654–1663. 28 indexed citations
9.
Chen, Shenghan, et al.. (2013). 5-FU and ixabepilone modify the microRNA expression profiles in MDA-MB-453 triple-negative breast cancer cells. Oncology Letters. 7(2). 541–547. 45 indexed citations
10.
Wang, Wei, Jianzhong Shen, Yujie Cui, et al.. (2012). Impaired sodium excretion and salt-sensitive hypertension in corin-deficient mice. Kidney International. 82(1). 26–33. 70 indexed citations
11.
Cui, Yujie, Wei Wang, Ningzheng Dong, et al.. (2012). Role of corin in trophoblast invasion and uterine spiral artery remodelling in pregnancy. Nature. 484(7393). 246–250. 243 indexed citations
12.
Dong, Ningzheng, Shenghan Chen, Wei Wang, Yiqing Zhou, & Qingyu Wu. (2011). Corin in clinical laboratory diagnostics. Clinica Chimica Acta. 413(3-4). 378–383. 55 indexed citations
13.
Jiang, Jingjing, Shannon S. Wu, Wei Wang, et al.. (2011). Ectodomain Shedding and Autocleavage of the Cardiac Membrane Protease Corin. Journal of Biological Chemistry. 286(12). 10066–10072. 84 indexed citations
14.
Wu, Qingyu, et al.. (2008). Corin: new insights into the natriuretic peptide system. Kidney International. 75(2). 142–146. 90 indexed citations
15.
Zhang, Xianqin, Shenghan Chen, Li Zhang, et al.. (2008). Protective effect of KCNH2 single nucleotide polymorphism K897T in LQTS families and identification of novel KCNQ1 and KCNH2mutations. BMC Medical Genetics. 9(1). 87–87. 16 indexed citations
16.
Liao, Xudong, Wei Wang, Shenghan Chen, & Qingyu Wu. (2007). Role of Glycosylation in Corin Zymogen Activation. Journal of Biological Chemistry. 282(38). 27728–27735. 57 indexed citations
17.
Chen, Shenghan, Lin Li, Shaoqi Rao, William G. Ondo, & Qing Wang. (2005). Reply to Ray and Weeks: Linkage for Restless Legs Syndrome on Chromosome 9p Is Significant. The American Journal of Human Genetics. 76(4). 707–710. 2 indexed citations
18.
Glatter, Kathryn A., Qing Wang, Mark Keating, et al.. (2004). Effectiveness of sotalol treatment in symptomatic Brugada syndrome. The American Journal of Cardiology. 93(10). 1320–1322. 15 indexed citations
19.
Chen, Shenghan, William G. Ondo, Shaoqi Rao, et al.. (2004). Genomewide Linkage Scan Identifies a Novel Susceptibility Locus for Restless Legs Syndrome on Chromosome 9p. The American Journal of Human Genetics. 74(5). 876–885. 141 indexed citations
20.
Liu, Wen‐ling, Dayi Hu, Cuilan Li, et al.. (2002). KCNQ1 and KCNH2 mutations associated with long QT syndrome in a Chinese population. Human Mutation. 20(6). 475–476. 28 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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