Ming‐Hua Yang

5.9k total citations
204 papers, 5.0k citations indexed

About

Ming‐Hua Yang is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Ming‐Hua Yang has authored 204 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 69 papers in Organic Chemistry and 55 papers in Pharmacology. Recurrent topics in Ming‐Hua Yang's work include Phytochemical compounds biological activities (27 papers), Microbial Natural Products and Biosynthesis (25 papers) and Phytochemistry and Biological Activities (23 papers). Ming‐Hua Yang is often cited by papers focused on Phytochemical compounds biological activities (27 papers), Microbial Natural Products and Biosynthesis (25 papers) and Phytochemistry and Biological Activities (23 papers). Ming‐Hua Yang collaborates with scholars based in China, United Kingdom and South Korea. Ming‐Hua Yang's co-authors include Guobing Yan, Xiaobing Wang, Junsong Wang, Lingyi Kong, Ling‐Yi Kong, Jun Luo, Jian‐Guang Luo, Sheng‐Rong Guo, Tianxiao Li and Arun Jyoti Borah and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ming‐Hua Yang

200 papers receiving 4.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming‐Hua Yang 2.0k 1.9k 942 752 533 204 5.0k
Mohamed El‐Shazly 1.6k 0.8× 2.3k 1.2× 1.2k 1.2× 1.3k 1.8× 754 1.4× 264 6.4k
René Csük 2.6k 1.3× 4.2k 2.2× 1.1k 1.2× 634 0.8× 632 1.2× 417 7.0k
Marcus J. C. Long 1.4k 0.7× 2.8k 1.5× 505 0.5× 613 0.8× 322 0.6× 130 5.2k
Li‐Sheng Ding 1.6k 0.8× 2.0k 1.1× 373 0.4× 904 1.2× 528 1.0× 208 4.8k
Heng‐Shan Wang 3.2k 1.6× 2.0k 1.0× 458 0.5× 722 1.0× 364 0.7× 282 6.1k
Ivan R. Green 1.4k 0.7× 1.0k 0.5× 493 0.5× 638 0.8× 418 0.8× 181 3.5k
Giovanni Vidari 1.6k 0.8× 1.5k 0.8× 828 0.9× 1.2k 1.6× 463 0.9× 237 4.5k
Sandip B. Bharate 2.5k 1.3× 2.3k 1.2× 1.2k 1.3× 969 1.3× 422 0.8× 198 6.2k
Toshiyuki Kan 2.9k 1.5× 1.9k 1.0× 826 0.9× 511 0.7× 359 0.7× 183 5.1k
Ashok K. Prasad 2.5k 1.3× 2.0k 1.1× 618 0.7× 646 0.9× 967 1.8× 299 5.9k

Countries citing papers authored by Ming‐Hua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Hua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Hua Yang. A scholar is included among the top collaborators of Ming‐Hua 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 Ming‐Hua Yang. Ming‐Hua 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.
Yin, Wei, et al.. (2025). Formyl Phloroglucinol Meroterpenoids From the Fruits of Eucalyptus globulus. Chemistry & Biodiversity. 22(11). e01610–e01610.
2.
Lu, Yan, Jie Shen, Lin Liu, Ming‐Hua Yang, & Shengfeng Wang. (2025). IgA vasculitis induced by tumor necrosis factor-α antagonists: clinical features, diagnosis and management. Archives of Dermatological Research. 317(1). 445–445.
3.
Chen, Wendong, et al.. (2025). Inflammatory biomarkers and therapeutic potential of milk exosome-mediated CCL7 siRNA in murine intestinal ischemia-reperfusion injury. Frontiers in Immunology. 15. 1513196–1513196. 2 indexed citations
4.
Yang, Ming‐Hua, et al.. (2025). Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting. 24440–24451. 1 indexed citations
5.
Yang, Ming‐Hua, et al.. (2023). Recent Progress in Distiller’s Grains: Chemical Compositions and Biological Activities. Molecules. 28(22). 7492–7492. 14 indexed citations
6.
Li, Min, et al.. (2023). Aromatic polyketide aspergillones A-D from the endophytic fungus Aspergillus sclerotiorum. Phytochemistry Letters. 55. 131–136. 1 indexed citations
7.
Zhang, Jing, et al.. (2021). The preparation of sorbitol and its application in polyurethane: a review. Polymer Bulletin. 79(4). 2667–2684. 37 indexed citations
8.
Li, Min, et al.. (2021). Recent progress on anti-Candida natural products. Chinese Journal of Natural Medicines. 19(8). 561–579. 18 indexed citations
9.
Han, Chao, Gui‐Min Xue, Xiaobing Wang, et al.. (2019). Novel rearranged acetophenone derivatives possessing diverse architectures from the leaves of Melicope ptelefolia. Tetrahedron. 75(52). 130784–130784. 10 indexed citations
10.
Zhang, Yalong, Lin Wu, Xiaobing Wang, et al.. (2018). Rare dimeric guaianes from Xylopia vielana and their multidrug resistance reversal activity. Phytochemistry. 158. 26–34. 17 indexed citations
11.
Luo, Jun, Panpan Zhang, Xiaobing Wang, et al.. (2017). Rearranged limonoids with unique 6/5/6/5 tetracarbocyclic skeletons from Toona ciliata and biomimetic structure divergence. Organic Chemistry Frontiers. 4(12). 2417–2421. 18 indexed citations
12.
Lv, Yan, Junsong Wang, Ding‐Qiao Xu, et al.. (2017). Comparative study of single/combination use of Huang-Lian-Jie-Du decoction and berberine on their protection on sepsis induced acute liver injury by NMR metabolic profiling. Journal of Pharmaceutical and Biomedical Analysis. 145. 794–804. 23 indexed citations
13.
Xu, Caixia, et al.. (2015). Study on associating thickening mechanism and structure–efficiency relationship of hyperbranched waterborne polyurethane. Progress in Organic Coatings. 92. 73–79. 9 indexed citations
14.
Wang, Junsong, et al.. (2014). Toxicity assessment of Arisaematis Rhizoma in rats by a 1H NMR-based metabolomics approach. Molecular BioSystems. 11(2). 407–417. 24 indexed citations
15.
Wei, Dandan, et al.. (2014). A bird's eye view of anisatin induced convulsive seizures in brain by a 1H NMR based metabolic approach. Molecular BioSystems. 10(11). 2923–2934. 6 indexed citations
16.
Wang, Junsong, et al.. (2014). NMR-based metabolomics approach to study the chronic toxicity of crude ricin from castor bean kernels on rats. Molecular BioSystems. 10(9). 2426–2440. 22 indexed citations
17.
Chen, Hongxiang, et al.. (2014). Synthesis and characterization of waterborne polyurethane thickeners based on hyperbranched polyester. Journal of Coatings Technology and Research. 12(2). 325–332. 7 indexed citations
18.
Wang, Gang, Jian‐Guang Luo, Ming‐Hua Yang, Xiaobing Wang, & Lingyi Kong. (2013). Six New Cyclic Peptides from the Roots of Gypsophila oldhamiana. Chemical and Pharmaceutical Bulletin. 61(4). 489–495. 11 indexed citations
19.
Ma, Weiwu & Ming‐Hua Yang. (2008). Diaquabis(2,5-di-4-pyridyl-1,3,4-thiadiazole-κN2)bis(thiocyanato-κN)copper(II) dihydrate. Acta Crystallographica Section E Structure Reports Online. 64(5). m630–m630.
20.
Yang, Ming‐Hua, et al.. (2007). Chemical constituents of Rhododendron irroratum Franch.. 15(3). 199–201. 1 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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