Jeng‐Jiann Chiu

8.0k total citations · 2 hit papers
82 papers, 6.5k citations indexed

About

Jeng‐Jiann Chiu is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Jeng‐Jiann Chiu has authored 82 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 22 papers in Immunology and Allergy and 18 papers in Immunology. Recurrent topics in Jeng‐Jiann Chiu's work include Cell Adhesion Molecules Research (22 papers), Angiogenesis and VEGF in Cancer (18 papers) and MicroRNA in disease regulation (12 papers). Jeng‐Jiann Chiu is often cited by papers focused on Cell Adhesion Molecules Research (22 papers), Angiogenesis and VEGF in Cancer (18 papers) and MicroRNA in disease regulation (12 papers). Jeng‐Jiann Chiu collaborates with scholars based in Taiwan, United States and China. Jeng‐Jiann Chiu's co-authors include Shu Chien, Shunichi Usami, Pei-Ling Lee, Jing Zhou, Chih-I Lee, Ding-Yu Lee, Li-Jing Chen, Being‐Sun Wung, Shun‐Fu Chang and Kuei-Chun Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jeng‐Jiann Chiu

82 papers receiving 6.4k citations

Hit Papers

Effects of Disturbed Flow... 2011 2026 2016 2021 2011 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeng‐Jiann Chiu Taiwan 41 2.9k 1.2k 1.2k 1.0k 991 82 6.5k
Robert Flaumenhaft United States 49 2.7k 0.9× 1.5k 1.2× 775 0.6× 732 0.7× 737 0.7× 161 7.7k
Marie‐Luce Bochaton‐Piallat Switzerland 41 3.2k 1.1× 877 0.7× 2.0k 1.6× 958 0.9× 1.2k 1.2× 99 8.3k
Dean Y. Li United States 51 4.1k 1.4× 1.1k 0.9× 1.9k 1.6× 866 0.9× 1.2k 1.2× 119 9.9k
Donald M. Salter United Kingdom 45 2.0k 0.7× 747 0.6× 2.1k 1.7× 859 0.8× 500 0.5× 165 8.8k
David A. Ingram United States 46 5.4k 1.9× 953 0.8× 2.0k 1.7× 1.2k 1.2× 779 0.8× 119 10.2k
Süleyman Ergün Germany 46 4.1k 1.4× 589 0.5× 1.3k 1.1× 1.2k 1.2× 418 0.4× 222 8.3k
B. Lowell Langille Canada 41 2.2k 0.7× 841 0.7× 1.5k 1.3× 435 0.4× 1.5k 1.5× 77 6.0k
Geerten P. van Nieuw Amerongen Netherlands 39 2.3k 0.8× 897 0.7× 530 0.4× 423 0.4× 697 0.7× 75 4.9k
Pieter Koolwijk Netherlands 42 2.8k 1.0× 519 0.4× 862 0.7× 1.5k 1.5× 521 0.5× 126 6.8k
Nobuyuki Takakura Japan 54 5.5k 1.9× 1.3k 1.1× 1.3k 1.1× 1.4k 1.4× 675 0.7× 182 11.1k

Countries citing papers authored by Jeng‐Jiann Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Jeng‐Jiann Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeng‐Jiann Chiu. 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 Jeng‐Jiann Chiu. The network helps show where Jeng‐Jiann Chiu may publish in the future.

Co-authorship network of co-authors of Jeng‐Jiann Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Jeng‐Jiann Chiu. A scholar is included among the top collaborators of Jeng‐Jiann Chiu 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 Jeng‐Jiann Chiu. Jeng‐Jiann Chiu 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.
Ding, Hanyi, Yühong Huang, Chi Wai Lau, et al.. (2025). Endothelial Serotonin Receptor 1B Acts as a Mechanosensor to Drive Atherosclerosis. Circulation Research. 136(8). 887–901. 1 indexed citations
2.
Wei, Shu‐Yi, et al.. (2024). Identification of KU-55933 as an anti-atherosclerosis compound by using a hemodynamic-based high-throughput drug screening platform. Proceedings of the National Academy of Sciences. 121(5). e2318718121–e2318718121. 2 indexed citations
4.
Wei, Shu‐Yi, Jinhua Chen, Weili Wang, et al.. (2022). Vinculin phosphorylation impairs vascular endothelial junctions promoting atherosclerosis. European Heart Journal. 44(4). 304–318. 32 indexed citations
6.
Chang, Shun‐Fu, Pei-Ling Lee, Shu‐Yi Wei, et al.. (2013). Mechanical regulation of cancer cell apoptosis and autophagy: Roles of bone morphogenetic protein receptor, Smad1/5, and p38 MAPK. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(12). 3124–3133. 90 indexed citations
7.
Zhou, Jing, et al.. (2013). BMP receptor-integrin interaction mediates responses of vascular endothelial Smad1/5 and proliferation to disturbed flow. Journal of Thrombosis and Haemostasis. 11(4). 741–755. 51 indexed citations
8.
Zhou, Jing, Pei-Ling Lee, Chien‐Sung Tsai, et al.. (2012). Force-specific activation of Smad1/5 regulates vascular endothelial cell cycle progression in response to disturbed flow. Proceedings of the National Academy of Sciences. 109(20). 7770–7775. 88 indexed citations
9.
Yeh, Yi-Ting, Chih-I Lee, Seh Hong Lim, et al.. (2012). Convergence of physical and chemical signaling in the modulation of vascular smooth muscle cell cycle and proliferation by fibrillar collagen-regulated P66Shc. Biomaterials. 33(28). 6728–6738. 8 indexed citations
10.
Chiu, Jeng‐Jiann, Peng Yan, Ying Yang, et al.. (2008). In vitro oxidized and glycated human low-density lipoprotein particles characterized by capillary zone electrophoresis. Journal of Chromatography B. 875(2). 383–391. 10 indexed citations
11.
Wu, Chia‐Ching, Fong‐Chin Su, Yi‐Shuan Li, et al.. (2008). Role of directionality of shear stress in endothelial cell remodeling. Biorheology. 45. 95–96. 2 indexed citations
12.
Gan, Yibo, et al.. (2006). Porcine Small Intestinal Submucosa is a Suitable Small Diameter Vascular Substitute. 290–295. 1 indexed citations
14.
Chiu, Jeng‐Jiann, Pei-Ling Lee, Shun‐Fu Chang, et al.. (2005). Shear stress regulates gene expression in vascular endothelial cells in response to tumor necrosis factor-α: a study of the transcription profile with complementary DNA microarray. Journal of Biomedical Science. 12(3). 481–502. 20 indexed citations
15.
Chen, Cheng‐Nan, Shun‐Fu Chang, Pei-Ling Lee, et al.. (2005). Neutrophils, lymphocytes, and monocytes exhibit diverse behaviors in transendothelial and subendothelial migrations under coculture with smooth muscle cells in disturbed flow. Blood. 107(5). 1933–1942. 71 indexed citations
16.
Chiu, Jeng‐Jiann, et al.. (2003). Analysis of the effect of disturbed flow on monocytic adhesion to endothelial cells. Journal of Biomechanics. 36(12). 1883–1895. 89 indexed citations
17.
Chiu, Jeng‐Jiann, Pei-Ling Lee, Cheng‐Nan Chen, et al.. (2003). Shear Stress Increases ICAM-1 and Decreases VCAM-1 and E-selectin Expressions Induced by Tumor Necrosis Factor-α in Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 24(1). 73–79. 173 indexed citations
18.
Chiu, Jeng‐Jiann, et al.. (2002). Estrogen therapy for hepatectomy patients with poor liver function?. Medical Hypotheses. 58(6). 516–518. 15 indexed citations
19.
Chiu, Jeng‐Jiann, et al.. (1998). Effects of Disturbed Flow On Endothelial Cells. Journal of Biomechanical Engineering. 120(1). 2–8. 167 indexed citations
20.
Chiu, Jeng‐Jiann, et al.. (1992). COVARIANT VELOCITY-BASED CALCULATION PROCEDURE WITH NONSTAGGERED GRIDS FOR COMPUTATION OF PULSATILE FLOWS. Numerical Heat Transfer Part B Fundamentals. 21(3). 269–286. 18 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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