Wei Chao

5.3k total citations · 1 hit paper
110 papers, 4.4k citations indexed

About

Wei Chao is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Wei Chao has authored 110 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 47 papers in Molecular Biology and 27 papers in Epidemiology. Recurrent topics in Wei Chao's work include Immune Response and Inflammation (38 papers), Sepsis Diagnosis and Treatment (20 papers) and MicroRNA in disease regulation (9 papers). Wei Chao is often cited by papers focused on Immune Response and Inflammation (38 papers), Sepsis Diagnosis and Treatment (20 papers) and MicroRNA in disease regulation (9 papers). Wei Chao collaborates with scholars based in United States, China and France. Wei Chao's co-authors include Merle S. Olson, Lin Zou, Yan Feng, David J. Volsky, Zao-zhong Su, Dong‐Chul Kang, Paul B. Fisher, D J Hanahan, David E. Sosnovik and Steven M. Jay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Wei Chao

106 papers receiving 4.3k citations

Hit Papers

Sepsis-Induced Coagulopathy: A Comprehensive Narrative Re... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Chao United States 38 1.8k 1.3k 654 595 555 110 4.4k
Zsuzsanna K. Zsengellér United States 39 1.8k 1.0× 994 0.8× 619 0.9× 541 0.9× 276 0.5× 96 5.6k
Hui Liao China 36 1.5k 0.8× 728 0.6× 392 0.6× 436 0.7× 394 0.7× 107 4.6k
Lance S. Terada United States 46 2.6k 1.4× 1.0k 0.8× 537 0.8× 693 1.2× 652 1.2× 122 5.8k
Jong Sung Park South Korea 31 1.6k 0.9× 1.7k 1.3× 432 0.7× 213 0.4× 439 0.8× 118 5.0k
Derek Strassheim United States 30 1.7k 0.9× 2.2k 1.7× 524 0.8× 273 0.5× 451 0.8× 47 5.1k
Maja T. Lindenmeyer Germany 34 1.6k 0.9× 812 0.6× 578 0.9× 293 0.5× 350 0.6× 96 4.3k
Hirohisa Kurachi Japan 44 2.4k 1.3× 638 0.5× 526 0.8× 397 0.7× 698 1.3× 162 5.8k
Qiaobing Huang China 37 1.8k 1.0× 645 0.5× 759 1.2× 262 0.4× 398 0.7× 142 4.1k
Kenichi Shikata Japan 41 1.8k 1.0× 811 0.6× 898 1.4× 303 0.5× 260 0.5× 177 6.1k
Bernardo S. Franklin Germany 27 3.4k 1.9× 1.6k 1.2× 553 0.8× 220 0.4× 922 1.7× 42 5.5k

Countries citing papers authored by Wei Chao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Chao. A scholar is included among the top collaborators of Wei Chao 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 Wei Chao. Wei Chao 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.
Chao, Wei, Rongfeng Tang, Ruiling Liu, et al.. (2025). Goblet cells dictate viral tropism and pathogenesis in nasal and intestinal mucosae. Proceedings of the National Academy of Sciences. 122(41). e2514150122–e2514150122.
2.
Chen, Fengqian, Sheng Wang, Ziyi Li, et al.. (2023). Extracellular RNA Sensing Mediates Inflammation and Organ Injury in a Murine Model of Polytrauma. The Journal of Immunology. 210(12). 1990–2000. 6 indexed citations
3.
Wang, Xiaoli, et al.. (2023). Toll-like receptor 2 deficiency relieves splenic immunosuppression during sepsis. Immunobiology. 228(3). 152374–152374. 5 indexed citations
4.
Zeineddin, Ahmad, Feng Wu, Wei Chao, et al.. (2022). Biomarkers of endothelial cell dysfunction persist beyond resuscitation in patients with hemorrhagic shock. The Journal of Trauma: Injury, Infection, and Critical Care. 93(5). 572–578. 9 indexed citations
5.
Huang, Huang, Jing Zhu, Lili Gu, et al.. (2022). TLR7 Mediates Acute Respiratory Distress Syndrome in Sepsis by Sensing Extracellular miR-146a. American Journal of Respiratory Cell and Molecular Biology. 67(3). 375–388. 21 indexed citations
6.
Chen, Fengqian, Lin Zou, Brittney Williams, & Wei Chao. (2021). Targeting Toll-Like Receptors in Sepsis: From Bench to Clinical Trials. Antioxidants and Redox Signaling. 35(15). 1324–1339. 42 indexed citations
7.
Shimada, Briana K., Yang Yang, Jing Zhu, et al.. (2020). Extracellular miR-146a-5p Induces Cardiac Innate Immune Response and Cardiomyocyte Dysfunction. ImmunoHorizons. 4(9). 561–572. 30 indexed citations
8.
Chen, Howard H., Hushan Yuan, Hoonsung Cho, et al.. (2017). Theranostic Nucleic Acid Binding Nanoprobe Exerts Anti-inflammatory and Cytoprotective Effects in Ischemic Injury. Theranostics. 7(4). 814–825. 20 indexed citations
9.
Zou, Lin, Yan Feng, Ganqiong Xu, et al.. (2016). Complement Factor B Production in Renal Tubular Cells and Its Role in Sodium Transporter Expression During Polymicrobial Sepsis*. Critical Care Medicine. 44(5). e289–e299. 19 indexed citations
10.
Chen, Chan, Yan Feng, Lin Zou, et al.. (2014). Role of Extracellular RNA and TLR3‐Trif Signaling in Myocardial Ischemia–Reperfusion Injury. Journal of the American Heart Association. 3(1). e000683–e000683. 127 indexed citations
11.
Li, Huihua, Quan Li, Pengyuan Liu, et al.. (2012). WNT1-Inducible Signaling Pathway Protein 1 Contributes to Ventilator-Induced Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 47(4). 528–535. 33 indexed citations
12.
Tournoux, François, Bodil Petersen, Hélène Thibault, et al.. (2011). Validation of Noninvasive Measurements of Cardiac Output in Mice Using Echocardiography. Journal of the American Society of Echocardiography. 24(4). 465–470. 44 indexed citations
13.
Lin, Tian, et al.. (2010). Synergistic Inflammation Is Induced by Blood Degradation Products with Microbial Toll‐Like Receptor Agonists and Is Blocked by Hemopexin. The Journal of Infectious Diseases. 202(4). 624–632. 81 indexed citations
15.
Ahuja, Arvind, et al.. (1996). Inhibition of the Human Neutrophil Respiratory Burst by Native and Synthetic Surfactant. American Journal of Respiratory Cell and Molecular Biology. 14(5). 496–503. 45 indexed citations
16.
Chao, Wei, et al.. (1993). Effect of Orthovanadate on Tyrosine Phosphorylation of P120 GTPase-Activating Protein in Rat-Liver Macrophages (Kupffer Cells). Biochemical and Biophysical Research Communications. 191(1). 55–60. 5 indexed citations
17.
Chao, Wei, et al.. (1990). Regulation of platelet-activating factor receptor and PAF receptor-mediated arachidonic acid release by protein kinase C activation in rat Kupffer cells. Archives of Biochemistry and Biophysics. 282(1). 188–197. 19 indexed citations
19.
Peters, J.H., et al.. (1970). Circulatory L-asparaginase activity in primates. Life Sciences. 9(8). 431–436. 9 indexed citations
20.
Peters, Jörg, et al.. (1969). Amino Acids, Including Asparagine and Glutamine, in Plasma and Urine of Normal Human Subjects. Experimental Biology and Medicine. 131(1). 281–288. 27 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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