A. Zhong

562 total citations
18 papers, 406 citations indexed

About

A. Zhong is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Surgery. According to data from OpenAlex, A. Zhong has authored 18 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in A. Zhong's work include Cardiac Ischemia and Reperfusion (5 papers), Boron Compounds in Chemistry (2 papers) and Polymer Nanocomposite Synthesis and Irradiation (2 papers). A. Zhong is often cited by papers focused on Cardiac Ischemia and Reperfusion (5 papers), Boron Compounds in Chemistry (2 papers) and Polymer Nanocomposite Synthesis and Irradiation (2 papers). A. Zhong collaborates with scholars based in China, Canada and United States. A. Zhong's co-authors include Cheng‐Yoong Pang, Brian Boyd, Ning Xu, Christopher R. Forrest, Richard Yang, Peter C. Neligan, Wei He, Richard A. Hopper, Dominique Dorion and He Wang and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of Applied Physiology and Cardiovascular Research.

In The Last Decade

A. Zhong

15 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Zhong China 10 253 138 127 91 70 18 406
Tetsuya Ishida Japan 5 172 0.7× 44 0.3× 73 0.6× 111 1.2× 90 1.3× 6 365
E Iliodromitis Greece 10 219 0.9× 99 0.7× 91 0.7× 48 0.5× 107 1.5× 24 380
Grace L. Chien United States 14 410 1.6× 306 2.2× 162 1.3× 70 0.8× 78 1.1× 19 618
Robert S. Walsh United States 7 236 0.9× 166 1.2× 83 0.7× 29 0.3× 75 1.1× 8 470
Sandra de Zeeuw Netherlands 10 137 0.5× 86 0.6× 47 0.4× 25 0.3× 87 1.2× 24 361
Helmut Raphael Lieder Germany 11 226 0.9× 104 0.8× 102 0.8× 64 0.7× 57 0.8× 27 413
Nilgün Gedik Germany 8 431 1.7× 267 1.9× 266 2.1× 72 0.8× 75 1.1× 10 607
Shinji Okubo Japan 12 430 1.7× 227 1.6× 161 1.3× 88 1.0× 208 3.0× 20 669
Jay Jayakumar United Kingdom 11 161 0.6× 67 0.5× 26 0.2× 113 1.2× 283 4.0× 22 533
T Morioka Japan 9 249 1.0× 139 1.0× 87 0.7× 41 0.5× 61 0.9× 20 446

Countries citing papers authored by A. Zhong

Since Specialization
Citations

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

Fields of papers citing papers by A. Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Zhong

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

All Works

18 of 18 papers shown
1.
Zhong, A., Shuai Li, Jingxuan Zhang, Jingyuan Zhao, & Chunxing Yao. (2025). Endogenous micropeptides as potential diagnostic biomarkers and therapeutic drugs. Frontiers in Pharmacology. 16. 1545575–1545575.
2.
Sá, Nívea Pereira de, A. Zhong, Can E. Senkal, et al.. (2025). Targeting ceramide synthases for the development of new antifungals. Structure. 33(9). 1565–1576.e4.
3.
Li, Qing, Linlin Hu, Jie He, et al.. (2025). Optimizing Polymyxin B Therapy in Critical Care: Pharmacokinetic Insights and Clinical Outcomes in a Retrospective Cohort Study. Infectious Diseases and Therapy. 14(11). 2565–2582.
4.
Ajibola, Gbolahan, Mihoko V. Bennett, Arturo Carpio, et al.. (2024). Short-term γ-aminobutyric acid antagonist treatment improves long-term sleep quality, memory, and decision-making in a Down syndrome mouse model. SLEEP. 48(5). 1 indexed citations
5.
Zhang, Lin, Shi Yan, Wenfang Gong, et al.. (2024). The tetraploid Camellia oleifera genome provides insights into evolution, agronomic traits, and genetic architecture of oil Camellia plants. Cell Reports. 43(11). 114902–114902. 9 indexed citations
6.
Li, Yongmei, A. Zhong, Hui Liao, et al.. (2024). Protecting against ferroptosis in hyperuricemic nephropathy: The potential of ferrostatin-1 and its inhibitory effect on URAT1. European Journal of Pharmacology. 971. 176528–176528. 11 indexed citations
7.
Castaño, David, Vera F. Monteiro-Cardoso, Maria Corlianò, et al.. (2020). Lipid efflux mechanisms, relation to disease and potential therapeutic aspects. Advanced Drug Delivery Reviews. 159. 54–93. 23 indexed citations
8.
Zhang, Xiaojun, et al.. (2020). Antibiotic‐induced role interchange between rare and predominant bacteria retained the function of a bacterial community for denitrifying quinoline degradation. Journal of Applied Microbiology. 129(6). 1598–1608. 3 indexed citations
9.
Li, Yinsheng, Y. Wang, A. Zhong, et al.. (2018). Comparison of rim-sparing versus rim-removal techniques in deep lateral wall orbital decompression for Graves’ orbitopathy. International Journal of Oral and Maxillofacial Surgery. 48(4). 461–467. 15 indexed citations
10.
Amirabadi, Afsaneh, Logi Vidarsson, Elka Miller, et al.. (2014). USPIO‐related T1 and T2 mapping MRI of cartilage in a rabbit model of blood‐induced arthritis: a pilot study. Haemophilia. 21(1). e59–69. 6 indexed citations
11.
Liu, Zhiheng, Xiaohui Qi, Jing Li, et al.. (2010). A developed DNA extraction method for different soil samples. Journal of Basic Microbiology. 50(4). 401–407. 11 indexed citations
12.
Wang, He, et al.. (1999). [Acute ischemic preconditioning protects against skeletal muscle infarction in the pig].. PubMed. 15(5). 348–50. 14 indexed citations
13.
Pang, Cheng‐Yoong, et al.. (1997). Role of ATP-sensitive K+ channels in ischemic preconditioning of skeletal muscle against infarction. American Journal of Physiology-Heart and Circulatory Physiology. 273(1). H44–H51. 51 indexed citations
14.
Pang, Cheng‐Yoong, et al.. (1997). Effector mechanism of adenosine in acute ischemic preconditioning of skeletal muscle against infarction. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 273(3). R887–R895. 64 indexed citations
15.
Pang, Cheng‐Yoong, Peter C. Neligan, Ning Xu, et al.. (1995). Vascular effects and mechanism of action of endothelin-1 in isolated perfused pig skin. Journal of Applied Physiology. 79(6). 2106–2113. 15 indexed citations
16.
Pang, Cheng‐Yoong, Richard Yang, A. Zhong, et al.. (1995). Acute ischaemic preconditioning protects against skeletal muscle infarction in the pig. Cardiovascular Research. 29(6). 782–788. 142 indexed citations
17.
Gough, A C, A. Zhong, C. Roland Wolf, & N.K. Spurr. (1994). Chromosome assignment of the human glutathione S-transferase μ3 gene (GSTM3) to chromosome 1 by gene specific polymerase chain reaction. Cytogenetic and Genome Research. 65(1-2). 111–114. 3 indexed citations
18.
Dorion, Dominique, et al.. (1993). Role of xanthine oxidase in reperfusion injury of ischemic skeletal muscles in the pig and human. Journal of Applied Physiology. 75(1). 246–255. 38 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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