Jiahong Wang

2.0k total citations
73 papers, 1.2k citations indexed

About

Jiahong Wang is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jiahong Wang has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Surgery and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jiahong Wang's work include Hormonal Regulation and Hypertension (8 papers), Lipoproteins and Cardiovascular Health (4 papers) and MicroRNA in disease regulation (4 papers). Jiahong Wang is often cited by papers focused on Hormonal Regulation and Hypertension (8 papers), Lipoproteins and Cardiovascular Health (4 papers) and MicroRNA in disease regulation (4 papers). Jiahong Wang collaborates with scholars based in China, United States and Japan. Jiahong Wang's co-authors include Siling Wang, Yan-ting Gu, William J. Chiou, Yikun Gao, Tetsuo Nakata, Hiroe Toba, Jinhui Wang, Miyuki Kobara, Cheng Gao and Jinshyun R. Wu‐Wong and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Jiahong Wang

70 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiahong Wang China 20 411 175 143 137 113 73 1.2k
Sudhahar Varadarajan United States 23 603 1.5× 130 0.7× 107 0.7× 146 1.1× 140 1.2× 45 1.5k
Mingzhi Shen China 22 482 1.2× 126 0.7× 67 0.5× 210 1.5× 108 1.0× 45 1.2k
Pengyun Li China 22 587 1.4× 91 0.5× 115 0.8× 143 1.0× 57 0.5× 79 1.1k
Linghong Shen China 22 451 1.1× 193 1.1× 79 0.6× 168 1.2× 146 1.3× 73 1.2k
Moo‐Yeol Lee South Korea 23 660 1.6× 131 0.7× 97 0.7× 100 0.7× 59 0.5× 76 1.9k
Litai Jin China 23 1.0k 2.4× 160 0.9× 161 1.1× 168 1.2× 154 1.4× 81 1.8k
Ana Savić-Radojević Serbia 24 929 2.3× 192 1.1× 71 0.5× 200 1.5× 116 1.0× 90 2.0k
Hsin‐Hung Chen Taiwan 19 235 0.6× 170 1.0× 120 0.8× 99 0.7× 41 0.4× 50 996
Ting Yang China 19 586 1.4× 200 1.1× 146 1.0× 105 0.8× 190 1.7× 60 1.6k
Minxuan Xu China 24 700 1.7× 120 0.7× 216 1.5× 131 1.0× 180 1.6× 58 1.9k

Countries citing papers authored by Jiahong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiahong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahong Wang. A scholar is included among the top collaborators of Jiahong Wang 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 Jiahong Wang. Jiahong Wang 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.
Xia, Bingqing, Jiahong Wang, Yuting Yang, et al.. (2025). Glycan Sequencing Based on Glycosidase-Assisted Nanopore Sensing. Journal of the American Chemical Society. 147(2). 1721–1731. 4 indexed citations
2.
3.
Wang, Jiahong, et al.. (2025). Identification of Oligosaccharide Isomers Using Electrostatically Asymmetric OmpF Nanopore. Angewandte Chemie International Edition. 64(9). e202422118–e202422118. 6 indexed citations
4.
Zhang, Xin‐Xiang, et al.. (2024). Dioscin decreases M2 polarization via inhibiting a positive feedback loop between RBM47 and NF-κB in glioma. Phytomedicine. 128. 155417–155417. 5 indexed citations
5.
6.
Xu, Jinghua, et al.. (2023). Application of Multi-element Integrated Teaching in the Human Anatomy and Physiology Course in Pharmacy Majors. Indian Journal of Pharmaceutical Education and Research. 57(4). 1192–1195. 1 indexed citations
7.
Wang, Jiahong, et al.. (2023). Recognition of tau protein glycation with a tailored aerolysin nanopore. Biophysical Journal. 122(3). 439a–439a.
8.
Du, Yiyang, Jiahong Wang, Chuang Ren, et al.. (2023). Screening the components in multi-biological samples and the comparative pharmacokinetic study in healthy and depression model rats of Suan-Zao-Ren decoction combined with a network pharmacology. Journal of Ethnopharmacology. 319(Pt 3). 117360–117360. 4 indexed citations
9.
She, Guangbiao, Wan‐Qiang Lv, Jing Liu, et al.. (2023). Developmental and reproductive toxicity of a recombinant protein subunit COVID-19 vaccine (ZF2001) in rats. npj Vaccines. 8(1). 74–74. 3 indexed citations
10.
Lu, Lianghe, Wei Wei, Shaohua Li, et al.. (2021). A new horizon in risk stratification of hepatocellular carcinoma by integrating vessels that encapsulate tumor clusters and microvascular invasion. Hepatology International. 15(3). 651–662. 27 indexed citations
11.
Wang, Jiahong, Yanli Wang, Cheng Gao, et al.. (2019). Salvianolic Acid A Protects the Kidney against Oxidative Stress by Activating the Akt/GSK-3β/Nrf2 Signaling Pathway and Inhibiting the NF-κB Signaling Pathway in 5/6 Nephrectomized Rats. Oxidative Medicine and Cellular Longevity. 2019. 1–16. 51 indexed citations
12.
Wang, Yanli, Cheng Gao, Yan-ting Gu, et al.. (2018). Salvianolic acid A attenuates kidney injury and inflammation by inhibiting NF-κB and p38 MAPK signaling pathways in 5/6 nephrectomized rats. Acta Pharmacologica Sinica. 39(12). 1855–1864. 55 indexed citations
13.
Wang, Jiahong, et al.. (2018). Taurine Attenuates Calpain‐2 Induction and a Series of Cell Damage via Suppression of NOX‐Derived ROS in ARPE‐19 Cells. Oxidative Medicine and Cellular Longevity. 2018(1). 4596746–4596746. 6 indexed citations
14.
He, Lei, et al.. (2013). [Effect of straw incorporation on three-dimensional fluorescence spectrum of dissolved organic matter in arid loess].. PubMed. 33(7). 1820–3. 3 indexed citations
15.
Wang, Jinwen, Dayi Hu, Yihong Sun, Jiahong Wang, & Jiang Xie. (2011). [Gender difference in association between smoking and metabolic risks among community adults].. PubMed. 91(12). 805–9. 1 indexed citations
16.
17.
Wang, Jiahong, et al.. (2010). Factors associated with dyslipidemia awareness among residents in Beijing: results from CCEIP.. 30(1). 38–40. 3 indexed citations
18.
Wang, Jinwen, Dayi Hu, Yihong Sun, et al.. (2009). Obesity criteria for identifying metabolic risks.. PubMed. 18(1). 105–13. 21 indexed citations
19.
Chen, Zhong, Genshan Ma, Xiaoli Zhang, & Jiahong Wang. (2009). Lipoprotein lipase and premature coronary artery disease. Acta Cardiologica. 64(3). 379–383. 3 indexed citations
20.
Yeh, Vince S. C., Ravi Kurukulasuriya, David J. Madar, et al.. (2006). Synthesis and structural activity relationship of 11β-HSD1 inhibitors with novel adamantane replacements. Bioorganic & Medicinal Chemistry Letters. 16(20). 5408–5413. 23 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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