Huangjin Tong

488 total citations
28 papers, 361 citations indexed

About

Huangjin Tong is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Huangjin Tong has authored 28 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Pharmacology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Huangjin Tong's work include Computational Drug Discovery Methods (4 papers), Pharmacological Effects of Natural Compounds (4 papers) and Ginseng Biological Effects and Applications (3 papers). Huangjin Tong is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Pharmacological Effects of Natural Compounds (4 papers) and Ginseng Biological Effects and Applications (3 papers). Huangjin Tong collaborates with scholars based in China, Hong Kong and United Kingdom. Huangjin Tong's co-authors include De Ji, Tulin Lu, Lianlin Su, Chenghao Fei, Min Hao, Mengting Yu, Zhenhua Bian, Jing Mao, Tulin Lu and Qiaohan Wang and has published in prestigious journals such as Food Chemistry, International Journal of Biological Macromolecules and Frontiers in Pharmacology.

In The Last Decade

Huangjin Tong

26 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huangjin Tong China 10 174 58 55 43 41 28 361
Praveen Kumar Kalavagunta China 10 311 1.8× 45 0.8× 112 2.0× 54 1.3× 22 0.5× 15 638
Renata Minuzzo Hartmann Brazil 13 133 0.8× 94 1.6× 74 1.3× 22 0.5× 53 1.3× 32 515
Farhana Ferdousi Japan 16 179 1.0× 49 0.8× 58 1.1× 38 0.9× 21 0.5× 46 617
Xiaochuan Ye China 11 136 0.8× 56 1.0× 25 0.5× 29 0.7× 11 0.3× 29 323
Yung‐Jia Chiu Taiwan 9 160 0.9× 84 1.4× 29 0.5× 58 1.3× 15 0.4× 13 389
Xiumei Ke China 10 73 0.4× 52 0.9× 47 0.9× 24 0.6× 16 0.4× 28 271
Sylwia Wrotek Poland 13 123 0.7× 58 1.0× 41 0.7× 17 0.4× 9 0.2× 48 467
Jo Aan Goon Malaysia 15 127 0.7× 32 0.6× 56 1.0× 46 1.1× 8 0.2× 39 495
Hongyan Pei China 13 218 1.3× 68 1.2× 35 0.6× 21 0.5× 9 0.2× 66 520
Shengyan Xi China 13 200 1.1× 126 2.2× 66 1.2× 12 0.3× 25 0.6× 34 474

Countries citing papers authored by Huangjin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Huangjin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huangjin Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Huangjin Tong. A scholar is included among the top collaborators of Huangjin Tong 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 Huangjin Tong. Huangjin Tong 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
2.
Wang, Meng, Tingting Hu, Yuhang Li, et al.. (2024). An integrated and rapid evaluation of Curcumae Radix from different botanical origins based on chemical components, antiplatelet aggregation effect and Fourier transform near-infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 324. 124992–124992. 1 indexed citations
3.
Liu, Yanfeng, et al.. (2024). Combined structure-based virtual screening and machine learning approach for the identification of potential dual inhibitors of ACC and DGAT2. International Journal of Biological Macromolecules. 278(Pt 1). 134363–134363. 2 indexed citations
5.
Chen, Gang, Huangjin Tong, Weiwei Huang, et al.. (2024). Vinegar-processed Schisandra Chinensis enhanced therapeutic effects on colitis-induced depression through tryptophan metabolism. Phytomedicine. 135. 156057–156057. 7 indexed citations
6.
Liu, Yanfeng, et al.. (2024). Discovery of selective ACAT2 antagonist via a combination strategy based on deep docking, pharmacophore modelling, and molecular dynamics simulation. Journal of Enzyme Inhibition and Medicinal Chemistry. 39(1). 2403736–2403736.
7.
Gu, Wei, Ziyun Zhou, Shunan Zhang, et al.. (2024). Sono-assembly of ellagic acid into nanostructures significantly enhances aqueous solubility and bioavailability. Food Chemistry. 442. 138485–138485. 7 indexed citations
8.
Meng, Qinghai, Ying Chao, Shurui Zhang, et al.. (2023). Attenuation of estrogen and its receptors in the post-menopausal stage exacerbates dyslipidemia and leads to cognitive impairment. Molecular Brain. 16(1). 80–80. 13 indexed citations
9.
Meng, Qinghai, Han Feng, Shurui Zhang, et al.. (2023). Activation of estrogen receptor α inhibits TLR4 signaling in macrophages and alleviates the instability of atherosclerotic plaques in the postmenopausal stage. International Immunopharmacology. 116. 109825–109825. 14 indexed citations
10.
Wu, Qing, Feng Ding, Yanfeng Liu, et al.. (2022). The effect of telemedicine on secondary prevention of atherosclerotic cardiovascular disease: A systematic review and meta-analysis. Frontiers in Cardiovascular Medicine. 9. 1020744–1020744. 8 indexed citations
11.
Fei, Chenghao, De Ji, Huangjin Tong, et al.. (2022). Therapeutic mechanism of Curcuma aromatica Salisb. rhizome against coronary heart disease based on integrated network pharmacology, pharmacological evaluation and lipidomics. Frontiers in Pharmacology. 13. 950749–950749. 15 indexed citations
12.
Su, Lianlin, Huangjin Tong, Min Hao, et al.. (2022). Revealing the mechanism of raw and vinegar-processed Curcuma aromatica Salisb. [Zingiberaceae] regulates primary dysmenorrhea in rats via integrated metabolomics. Frontiers in Pharmacology. 13. 926291–926291. 5 indexed citations
13.
Gu, Wei, Hao Wang, Yiwei Wang, et al.. (2022). Investigation of Tannins Transformation in Sanguisorbae Radix Over Carbonizing by Stir-Frying. Frontiers in Molecular Biosciences. 9. 5 indexed citations
14.
Ji, De, Qi Zhao, Yuwen Qin, et al.. (2021). Germacrone improves liver fibrosis by regulating the PI3K/AKT/mTOR signalling pathway. Cell Biology International. 45(9). 1866–1875. 30 indexed citations
15.
Bian, Zhenhua, Wenming Zhang, Jingyue Tang, et al.. (2021). Mechanisms Underlying the Action of Ziziphi Spinosae Semen in the Treatment of Insomnia: A Study Involving Network Pharmacology and Experimental Validation. Frontiers in Pharmacology. 12. 752211–752211. 29 indexed citations
16.
Tong, Huangjin, Mengting Yu, Chenghao Fei, et al.. (2021). Bioactive constituents and the molecular mechanism of Curcumae Rhizoma in the treatment of primary dysmenorrhea based on network pharmacology and molecular docking. Phytomedicine. 86. 153558–153558. 55 indexed citations
17.
Wang, Qiaohan, Qi Zhao, Huangjin Tong, et al.. (2020). Co-delivery of miR-29b and germacrone based on cyclic RGD-modified nanoparticles for liver fibrosis therapy. Journal of Nanobiotechnology. 18(1). 86–86. 37 indexed citations
18.
Su, Lianlin, Xiachang Wang, Lin Li, et al.. (2020). The Anti-colitis Effect of Schisandra chinensis Polysaccharide Is Associated With the Regulation of the Composition and Metabolism of Gut Microbiota. Frontiers in Cellular and Infection Microbiology. 10. 519479–519479. 72 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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