Shaolong Yang

2.2k total citations
55 papers, 1.9k citations indexed

About

Shaolong Yang is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shaolong Yang has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Epidemiology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shaolong Yang's work include Sepsis Diagnosis and Treatment (14 papers), Neuropeptides and Animal Physiology (9 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Shaolong Yang is often cited by papers focused on Sepsis Diagnosis and Treatment (14 papers), Neuropeptides and Animal Physiology (9 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Shaolong Yang collaborates with scholars based in United States, China and Malaysia. Shaolong Yang's co-authors include Irshad H. Chaudry, Ping Wang, Mian Zhou, Kirby I. Bland, Mashkoor A. Choudhry, Shunhua Hu, Douglas J. Koo, John C. Chatham, Luyun Zou and Ya‐Ching Hsieh and has published in prestigious journals such as Gastroenterology, Annals of Surgery and The FASEB Journal.

In The Last Decade

Shaolong Yang

55 papers receiving 1.9k citations

Peers

Shaolong Yang
Balázs Csóka United States
Fei Song United States
Marc A. Daemen Netherlands
A. Jyothy India
Hui Kong China
Lenin Mahimainathan United States
Balázs Csóka United States
Shaolong Yang
Citations per year, relative to Shaolong Yang Shaolong Yang (= 1×) peers Balázs Csóka

Countries citing papers authored by Shaolong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaolong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolong Yang. A scholar is included among the top collaborators of Shaolong Yang 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 Shaolong Yang. Shaolong Yang 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.
Yang, Shaolong, et al.. (2025). Emerging insights into mesenchymal stem cells and exosome-based therapies for liver injury. Biomolecules and Biomedicine. 25(8). 1691–1708. 3 indexed citations
2.
Yang, Shaolong, et al.. (2019). Distinct expression pattern and prognostic values of pituitary tumor transforming gene family genes in non‑small cell lung cancer. Oncology Letters. 18(5). 4481–4494. 10 indexed citations
4.
Jian, Bixi, Shaolong Yang, Irshad H. Chaudry, & Raghavan Raju. (2013). Resveratrol Restores Sirtuin 1 (SIRT1) Activity and Pyruvate Dehydrogenase Kinase 1 (PDK1) Expression after Hemorrhagic Injury in a Rat Model. Molecular Medicine. 20(1). 10–16. 33 indexed citations
5.
Jian, Bixi, Shaolong Yang, Irshad H. Chaudry, & Raghavan Raju. (2011). Resveratrol Improves Cardiac Contractility following Trauma-Hemorrhage by Modulating Sirt1. Molecular Medicine. 18(2). 209–214. 53 indexed citations
6.
Jian, Bixi, Shaolong Yang, Dongquan Chen, Irshad H. Chaudry, & Raghavan Raju. (2011). Influence of aging and hemorrhage injury on Sirt1 expression: Possible role of myc-Sirt1 regulation in mitochondrial function. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(11). 1446–1451. 22 indexed citations
7.
Zou, Luyun, Shaolong Yang, Voraratt Champattanachai, et al.. (2008). Glucosamine improves cardiac function following trauma-hemorrhage by increased proteinO-GlcNAcylation and attenuation of NF-κB signaling. American Journal of Physiology-Heart and Circulatory Physiology. 296(2). H515–H523. 132 indexed citations
8.
Chen, Jianguo, Shaolong Yang, Shunhua Hu, et al.. (2008). Estrogen prevents intestinal inflammation after trauma-hemorrhage via downregulation of angiotensin II and angiotensin II subtype I receptor. American Journal of Physiology-Gastrointestinal and Liver Physiology. 295(5). G1131–G1137. 27 indexed citations
9.
Yang, Shaolong, Zong Sheng Guo, Mark E. O’Malley, et al.. (2007). A new recombinant vaccinia with targeted deletion of three viral genes: its safety and efficacy as an oncolytic virus. Gene Therapy. 14(8). 638–647. 22 indexed citations
10.
Yang, Shaolong, Luyun Zou, Pam Bounelis, et al.. (2006). GLUCOSAMINE ADMINISTRATION DURING RESUSCITATION IMPROVES ORGAN FUNCTION AFTER TRAUMA HEMORRHAGE. Shock. 25(6). 600–607. 71 indexed citations
11.
Yang, Shaolong, Mashkoor A. Choudhry, Ya‐Ching Hsieh, et al.. (2006). Estrus cycle: influence on cardiac function following trauma-hemorrhage. American Journal of Physiology-Heart and Circulatory Physiology. 291(6). H2807–H2815. 31 indexed citations
12.
Hsieh, Ya‐Ching, Shaolong Yang, Mashkoor A. Choudhry, et al.. (2005). PGC-1 upregulation via estrogen receptors: a common mechanism of salutary effects of estrogen and flutamide on heart function after trauma-hemorrhage. American Journal of Physiology-Heart and Circulatory Physiology. 289(6). H2665–H2672. 68 indexed citations
13.
Crawford, Jack H., Shaolong Yang, Mian Zhou, H. Hank Simms, & Ping Wang. (2004). Down-regulation of hepatic CYP1A2 plays an important role in inflammatory responses in sepsis. Critical Care Medicine. 32(2). 502–508. 42 indexed citations
14.
Fowler, Dale, et al.. (2003). Adrenomedullin and adrenomedullin binding protein-1: their role in the septic response. Journal of Surgical Research. 109(2). 175–181. 27 indexed citations
15.
Yang, Shaolong, Mian Zhou, Dale Fowler, & Ping Wang. (2002). Mechanisms of the beneficial effect of adrenomedullin and adrenomedullin-binding protein-1 in sepsis: Down-regulation of proinflammatory cytokines. Critical Care Medicine. 30(12). 2729–2735. 64 indexed citations
16.
Yang, Shaolong, Mian Zhou, Irshad H. Chaudry, & Ping Wang. (2002). Novel Approach to Prevent the Transition From the Hyperdynamic Phase to the Hypodynamic Phase of Sepsis. Annals of Surgery. 236(5). 625–633. 70 indexed citations
17.
Yang, Shaolong, Chun‐Shiang Chung, Alfred Ayala, Irshad H. Chaudry, & Ping Wang. (2002). Differential Alterations in Cardiovascular Responses During the Progression of Polymicrobial Sepsis in the Mouse. Shock. 17(1). 55–60. 66 indexed citations
18.
Yang, Shaolong, Mian Zhou, Irshad H. Chaudry, & Ping Wang. (2001). The role of lipopolysaccharide in stimulating adrenomedullin production during polymicrobial sepsis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1537(2). 167–174. 24 indexed citations
19.
Chung, Chun‐Shiang, Shaolong Yang, Grace Y. Song, et al.. (2001). Inhibition of Fas signaling prevents hepatic injury and improves organ blood flow during sepsis. Surgery. 130(2). 339–345. 47 indexed citations
20.
Yang, Shaolong & Joe G. Hauptman. (1994). THE EFFICACY OF HEPARIN AND ANTITHROMBIN III IN FLUID-RESUSCITATED CECAL LIGATION AND PUNCTURE. Shock. 2(6). 433–437. 13 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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