Cuiming Tang

931 total citations
22 papers, 422 citations indexed

About

Cuiming Tang is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Cuiming Tang has authored 22 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Cuiming Tang's work include Phytochemicals and Antioxidant Activities (4 papers), Silkworms and Sericulture Research (4 papers) and Heavy metals in environment (3 papers). Cuiming Tang is often cited by papers focused on Phytochemicals and Antioxidant Activities (4 papers), Silkworms and Sericulture Research (4 papers) and Heavy metals in environment (3 papers). Cuiming Tang collaborates with scholars based in China and United States. Cuiming Tang's co-authors include Zhenjiang Wang, Guoqing Luo, Fanwei Dai, Weizhi Shen, Chung-Yen Chen, Yuanming Sun, Yuxiao Zou, Fan Liu, Gengsheng Xiao and Sen Lin and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Cuiming Tang

22 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuiming Tang China 12 169 166 60 50 45 22 422
Lin Zhao China 13 163 1.0× 169 1.0× 25 0.4× 27 0.5× 101 2.2× 66 484
Mürsel Karabacak Türkiye 12 157 0.9× 64 0.4× 34 0.6× 112 2.2× 63 1.4× 21 425
Frederick N. Bebe United States 9 190 1.1× 65 0.4× 23 0.4× 34 0.7× 24 0.5× 19 380
Michael A. Gbadegesin Nigeria 13 122 0.7× 58 0.3× 26 0.4× 41 0.8× 71 1.6× 40 335
Pierrette Cassand France 18 107 0.6× 246 1.5× 88 1.5× 37 0.7× 146 3.2× 36 670
Vanessa Graillot France 7 102 0.6× 115 0.7× 18 0.3× 34 0.7× 80 1.8× 7 378
Hmed Ben‐Nasr Tunisia 10 82 0.5× 114 0.7× 26 0.4× 33 0.7× 55 1.2× 24 345
Hana Greifová Slovakia 11 87 0.5× 65 0.4× 18 0.3× 53 1.1× 32 0.7× 34 364
Cristiano Jorge Riger Brazil 11 124 0.7× 76 0.5× 65 1.1× 42 0.8× 98 2.2× 25 320
Hyo‐Young Kim South Korea 12 103 0.6× 84 0.5× 28 0.5× 63 1.3× 186 4.1× 58 414

Countries citing papers authored by Cuiming Tang

Since Specialization
Citations

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

Fields of papers citing papers by Cuiming Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiming Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiming Tang. A scholar is included among the top collaborators of Cuiming Tang 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 Cuiming Tang. Cuiming Tang 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.
2.
Chen, Lian, et al.. (2023). A novel methodological framework for risk zonation and source–sink response concerning heavy-metal contamination in agroecosystems. The Science of The Total Environment. 868. 161610–161610. 18 indexed citations
3.
4.
Dai, Fanwei, Xiaokang Zhuo, Guoqing Luo, et al.. (2023). Genomic Resequencing Unravels the Genetic Basis of Domestication, Expansion, and Trait Improvement in Morus Atropurpurea. Advanced Science. 10(24). e2300039–e2300039. 13 indexed citations
5.
Zhang, Jinping, et al.. (2022). Reaction mechanism of core–shell Al@SiO 2 nanoparticles from molecular dynamics simulations. Modelling and Simulation in Materials Science and Engineering. 30(8). 85009–85009. 4 indexed citations
6.
Lin, Sen, Sutian Wang, Peng Wang, et al.. (2022). Bile acids and their receptors in regulation of gut health and diseases. Progress in Lipid Research. 89. 101210–101210. 67 indexed citations
7.
Wang, Zhenjiang, Cuiming Tang, Gengsheng Xiao, et al.. (2021). Comparison of free and bound phenolic compositions and antioxidant activities of leaves from different mulberry varieties. BMC Chemistry. 15(1). 21–21. 10 indexed citations
8.
Wang, Zhenjiang, Fanwei Dai, Cuiming Tang, et al.. (2021). Quantitative determination of 1-deoxynojirimycin in 146 varieties of mulberry fruit. International Journal of Food Properties. 24(1). 1214–1221. 9 indexed citations
9.
Wang, Zhenjiang, Cuiming Tang, Fanwei Dai, Gengsheng Xiao, & Guoqing Luo. (2021). HPLC determination of phenolic compounds in different solvent extracts of mulberry leaves and antioxidant capacity of extracts. International Journal of Food Properties. 24(1). 544–552. 15 indexed citations
10.
Dai, Fanwei, et al.. (2020). Physiological and transcriptomic analyses of mulberry (Morus atropurpurea) response to cadmium stress. Ecotoxicology and Environmental Safety. 205. 111298–111298. 43 indexed citations
11.
Dai, Fanwei, Guoqing Luo, Zhenjiang Wang, et al.. (2019). Possible involvement of flavonoids in response of mulberry (Morus alba L.) to infection with Ralstonia solanacearum (Smith 1896) Yabuuchi et al., 1996. European Journal of Horticultural Science. 84(3). 161–170. 6 indexed citations
12.
Wang, Zhenjiang, Tingting Li, Fanwei Dai, et al.. (2019). Phenolic profiles and antioxidant capacities of mulberry ( Morus atropurpurea Roxb.) juices from different cultivars. International Journal of Food Properties. 22(1). 1340–1352. 8 indexed citations
13.
Dai, Fanwei, Xiting Zhao, Cuiming Tang, et al.. (2018). Identification and validation of reference genes for qRT-PCR analysis in mulberry (Morus alba L.). PLoS ONE. 13(3). e0194129–e0194129. 15 indexed citations
14.
Dai, Fanwei, et al.. (2018). Transcriptomic and proteomic analyses of mulberry (Morus atropurpurea) fruit response to Ciboria carunculoides. Journal of Proteomics. 193. 142–153. 16 indexed citations
15.
Wang, Zhenjiang, Yufei Zhang, Fanwei Dai, et al.. (2017). Genetic diversity among mulberry genotypes from seven countries. Physiology and Molecular Biology of Plants. 23(2). 421–427. 9 indexed citations
16.
Dai, Fanwei, Zhenjiang Wang, Guoqing Luo, & Cuiming Tang. (2015). Phenotypic and Transcriptomic Analyses of Autotetraploid and Diploid Mulberry (Morus alba L.). International Journal of Molecular Sciences. 16(9). 22938–22956. 60 indexed citations
17.
Dai, Fanwei, et al.. (2015). De novo assembly, gene annotation, and marker development of mulberry (Morus atropurpurea) transcriptome. Tree Genetics & Genomes. 11(2). 21 indexed citations
18.
Dai, Fanwei, Zhenjiang Wang, Guoqing Luo, & Cuiming Tang. (2015). Transcriptional analysis of different mulberry cultivars in response to Ralstonia solanacearum. Canadian Journal of Forest Research. 46(2). 152–162. 12 indexed citations
19.
Zou, Yuxiao, Weizhi Shen, Fan Liu, et al.. (2012). Phenolics and Antioxidant Activity of Mulberry Leaves Depend on Cultivar and Harvest Month in Southern China. International Journal of Molecular Sciences. 13(12). 16544–16553. 71 indexed citations
20.
Tang, Cuiming. (1954). A Large Foreign Body in the Nasopharynx of an Infant. The Journal of Laryngology & Otology. 68(5). 321–323. 5 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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