Yina Huang

2.3k total citations
58 papers, 1.9k citations indexed

About

Yina Huang is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Yina Huang has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Nutrition and Dietetics and 9 papers in Food Science. Recurrent topics in Yina Huang's work include Neuroscience and Neuropharmacology Research (7 papers), Natural product bioactivities and synthesis (6 papers) and Biological Activity of Diterpenoids and Biflavonoids (6 papers). Yina Huang is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Natural product bioactivities and synthesis (6 papers) and Biological Activity of Diterpenoids and Biflavonoids (6 papers). Yina Huang collaborates with scholars based in China, Japan and Australia. Yina Huang's co-authors include Kai Zhong, Hong Gao, Yanping Wu, Jinrong Bai, Hong Gao, Bo Gao, Jun Kawabata, Qian Bu, Lin Chen and Peiyu Xu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yina Huang

58 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yina Huang China 25 623 403 304 223 173 58 1.9k
Tuhinadri Sen India 24 702 1.1× 332 0.8× 453 1.5× 124 0.6× 126 0.7× 58 2.0k
Mallikarjuna Korivi Taiwan 28 653 1.0× 187 0.5× 312 1.0× 222 1.0× 251 1.5× 96 2.4k
Bisheng Zheng China 21 362 0.6× 388 1.0× 282 0.9× 222 1.0× 108 0.6× 45 1.5k
Yunjiao Chen China 28 706 1.1× 436 1.1× 389 1.3× 226 1.0× 79 0.5× 80 1.8k
Junqing Huang China 27 862 1.4× 347 0.9× 332 1.1× 415 1.9× 206 1.2× 66 2.4k
Nádia Rezende Barbosa Raposo Brazil 25 407 0.7× 304 0.8× 366 1.2× 132 0.6× 59 0.3× 153 2.1k
Arianna Di Lorenzo Italy 20 420 0.7× 647 1.6× 537 1.8× 269 1.2× 85 0.5× 24 1.9k
Haseeb Anwar Pakistan 24 736 1.2× 154 0.4× 279 0.9× 131 0.6× 161 0.9× 102 2.3k
Hae‐Jeung Lee South Korea 32 1.2k 1.9× 416 1.0× 351 1.2× 321 1.4× 287 1.7× 216 3.3k
Foued Salmen Espíndola Brazil 27 586 0.9× 186 0.5× 300 1.0× 323 1.4× 392 2.3× 118 2.2k

Countries citing papers authored by Yina Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yina Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yina Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yina Huang. A scholar is included among the top collaborators of Yina Huang 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 Yina Huang. Yina Huang 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.
Guo, Huan, Wenyi Ran, Yina Huang, et al.. (2024). Development of pectin/chitosan-based electrospun biomimetic nanofiber membranes loaded with dihydromyricetin inclusion complexes for wound healing application. International Journal of Biological Macromolecules. 278(Pt 1). 134526–134526. 24 indexed citations
3.
Liu, Ya, Yueying Zhang, Feiwu Long, et al.. (2023). CNN-assisted accurate smartphone testing of μPAD for pork sausage freshness. Journal of Food Engineering. 363. 111772–111772. 10 indexed citations
4.
Ran, Wenyi, Kai Zhong, Jinrong Bai, et al.. (2023). Antibacterial Mechanism of 2R,3R -Dihydromyricetin Against Staphylococcus aureus : Deciphering Inhibitory Effect on Biofilm and Virulence Based on Transcriptomic and Proteomic Analyses. Foodborne Pathogens and Disease. 20(3). 90–99. 6 indexed citations
5.
Huang, Yan, Xinhua Guo, Qiqi Chen, et al.. (2023). Long-term exposure to cadmium disrupts neurodevelopment in mature cerebral organoids. The Science of The Total Environment. 912. 168923–168923. 16 indexed citations
6.
Guo, Huan, Jinrong Bai, Yue Xiao, et al.. (2023). Metabolomics and metatranscriptomics reveal the influence mechanism of endogenous microbe (Staphylococcus succinus) inoculation on the flavor of fermented chili pepper. International Journal of Food Microbiology. 406. 110371–110371. 22 indexed citations
7.
Ma, Rui, Jinrong Bai, Yu-Ting Huang, et al.. (2023). Purification and Identification of Novel Antioxidant Peptides from Hydrolysates of Peanuts (Arachis hypogaea) and Their Neuroprotective Activities. Journal of Agricultural and Food Chemistry. 7 indexed citations
8.
Huang, Yan, Yanping Dai, Min Li, et al.. (2021). Exposure to cadmium induces neuroinflammation and impairs ciliogenesis in hESC-derived 3D cerebral organoids. The Science of The Total Environment. 797. 149043–149043. 62 indexed citations
10.
Zhong, Kai, et al.. (2020). Effect of Konjac Glucomannan on Sensory, Physical and Thermal Properties of Mochi. International Journal of Food Engineering. 16(3). 5 indexed citations
11.
Bu, Qian, Huaqin Zhang, Qian Liu, et al.. (2020). Generation of an NANS homozygous knockout human induced pluripotent stem cell line by the insertion of GFP-P2A-Puro via CRISPR/Cas9 editing. Stem Cell Research. 49. 102052–102052. 4 indexed citations
12.
Wu, Yanping, Jinrong Bai, Elena Grosu, et al.. (2018). Inhibitory Effect of 2R , 3R -Dihydromyricetin on Biofilm Formation by Staphylococcus aureus. Foodborne Pathogens and Disease. 15(8). 475–480. 12 indexed citations
13.
Han, Zhao, Liang Chen, Liang Chen, et al.. (2018). Temporary conductive hearing loss in early life impairs spatial memory of rats in adulthood. Brain and Behavior. 8(7). e01004–e01004. 17 indexed citations
14.
Wu, Yanping, Jinrong Bai, Kai Zhong, Yina Huang, & Hong Gao. (2016). A dual antibacterial mechanism involved in membrane disruption and DNA binding of 2R,3R-dihydromyricetin from pine needles of Cedrus deodara against Staphylococcus aureus. Food Chemistry. 218. 463–470. 129 indexed citations
15.
Bu, Qian, Yina Huang, Guangyan Yan, Xiaobo Cen, & Yinglan Zhao. (2012). Metabolomics: A Revolution for Novel Cancer Marker Identification. Combinatorial Chemistry & High Throughput Screening. 15(3). 266–275. 26 indexed citations
16.
Wang, Yongwei, Wei‐Cai Zeng, Peiyu Xu, et al.. (2012). Chemical Composition and Antimicrobial Activity of the Essential Oil of Kumquat (Fortunella crassifolia Swingle) Peel. International Journal of Molecular Sciences. 13(3). 3382–3393. 73 indexed citations
17.
Huang, Yina, Yinglan Zhao, Xiaoling Gao, et al.. (2010). Intestinal α-glucosidase inhibitory activity and toxicological evaluation of Nymphaea stellata flowers extract. Journal of Ethnopharmacology. 131(2). 306–312. 25 indexed citations
18.
Gao, Hong, et al.. (2008). Inhibitory effect on α-glucosidase by Adhatoda vasica Nees. Food Chemistry. 108(3). 965–972. 95 indexed citations
19.
Gao, Hong, Yina Huang, Bo Gao, & Jun Kawabata. (2008). Chebulagic Acid Is a Potent α-Glucosidase Inhibitor. Bioscience Biotechnology and Biochemistry. 72(2). 601–603. 40 indexed citations
20.
Gong, Ming, et al.. (2006). Morphometry of otoliths in chicken macula lagena. Neuroscience Letters. 404(1-2). 83–86. 6 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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