Hong Gao

2.3k total citations
56 papers, 1.9k citations indexed

About

Hong Gao is a scholar working on Molecular Biology, Complementary and alternative medicine and Nutrition and Dietetics. According to data from OpenAlex, Hong Gao has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Complementary and alternative medicine and 9 papers in Nutrition and Dietetics. Recurrent topics in Hong Gao's work include Phytochemicals and Antioxidant Activities (9 papers), Natural product bioactivities and synthesis (6 papers) and Medicinal plant effects and applications (6 papers). Hong Gao is often cited by papers focused on Phytochemicals and Antioxidant Activities (9 papers), Natural product bioactivities and synthesis (6 papers) and Medicinal plant effects and applications (6 papers). Hong Gao collaborates with scholars based in China, Japan and Singapore. Hong Gao's co-authors include Jun Kawabata, Kai Zhong, Yanping Wu, Yina Huang, Megh Raj Bhandari, Jinrong Bai, Qian Bu, Bo Gao, Yue Xiao and Ruijie Deng and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Chemical Communications.

In The Last Decade

Hong Gao

55 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
Hong Gao China 23 728 358 340 339 322 56 1.9k
Aditya Ganeshpurkar India 20 563 0.8× 432 1.2× 396 1.2× 295 0.9× 539 1.7× 71 2.1k
Chong‐Tai Kim South Korea 26 668 0.9× 449 1.3× 339 1.0× 131 0.4× 361 1.1× 101 2.0k
Hae-Ik Rhee South Korea 19 532 0.7× 337 0.9× 397 1.2× 390 1.2× 371 1.2× 54 1.7k
Syed Lal Badshah Pakistan 17 619 0.9× 241 0.7× 293 0.9× 137 0.4× 358 1.1× 42 1.9k
Nuansri Rakariyatham Thailand 16 461 0.6× 445 1.2× 544 1.6× 174 0.5× 533 1.7× 27 1.6k
M. Maulidiani Malaysia 25 585 0.8× 367 1.0× 319 0.9× 166 0.5× 592 1.8× 90 1.7k
Tohru Mitsunaga Japan 25 684 0.9× 422 1.2× 645 1.9× 233 0.7× 494 1.5× 110 2.2k
S. Saravanan India 27 474 0.7× 597 1.7× 378 1.1× 186 0.5× 623 1.9× 129 2.1k
Ehsan Oskoueian Iran 25 658 0.9× 605 1.7× 388 1.1× 132 0.4× 814 2.5× 97 2.4k

Countries citing papers authored by Hong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Gao. A scholar is included among the top collaborators of Hong Gao 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 Hong Gao. Hong Gao 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.
Guo, Huan, Lihui Huang, Jinrong Bai, et al.. (2025). Gut Microbial Catabolism of Prebiotic Theabrownin Yields Bioactive Metabolites for Gut Health and Lipid Homeostasis. Journal of Agricultural and Food Chemistry. 73(43). 27573–27586.
3.
Li, Dong, et al.. (2024). A nanoscale γ-cyclodextrin metal-organic framework loaded with eugenol (CMFE) for controlling F. graminearum on the wheat during harvest time. Industrial Crops and Products. 221. 119314–119314. 7 indexed citations
4.
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
5.
Guo, Huan, Yinjian Zheng, Ding‐Tao Wu, et al.. (2023). Quality evaluation of citrus varieties based on phytochemical profiles and nutritional properties. Frontiers in Nutrition. 10. 1165841–1165841. 13 indexed citations
6.
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
7.
Yang, Hao, Feng Li, Mohammad Rizwan Khan, et al.. (2022). Csm6-DNAzyme Tandem Assay for One-Pot and Sensitive Analysis of Lead Pollution and Bioaccumulation in Mice. Analytical Chemistry. 94(48). 16953–16959. 21 indexed citations
8.
Yang, Hao, et al.. (2022). Sensitive Detection of a Single-Nucleotide Polymorphism in Foodborne Pathogens Using CRISPR/Cas12a-Signaling ARMS-PCR. Journal of Agricultural and Food Chemistry. 70(27). 8451–8457. 33 indexed citations
9.
10.
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
11.
Wu, Yanping, Yachen Shi, Sha Deng, et al.. (2020). Metal-induced G-quadruplex polymorphism for ratiometric and label-free detection of lead pollution in tea. Food Chemistry. 343. 128425–128425. 48 indexed citations
12.
Dong, Yi, Ting Zhang, Xiaoya Lin, et al.. (2020). Graphene/aptamer probes for small molecule detection: from in vitro test to in situ imaging. Microchimica Acta. 187(3). 179–179. 25 indexed citations
13.
Lu, Yunhao, Sha Deng, Xinyu Liao, et al.. (2019). A transcription aptasensor: amplified, label-free and culture-independent detection of foodborne pathogens via light-up RNA aptamers. Chemical Communications. 55(68). 10096–10099. 45 indexed citations
14.
Yang, Hao, Sha Deng, Kaixiang Zhang, et al.. (2019). Graphene–nucleic acid biointerface-engineered biosensors with tunable dynamic range. Journal of Materials Chemistry B. 8(16). 3623–3630. 9 indexed citations
15.
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
16.
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
17.
Gao, Hong. (2010). in vitro and in vivo Inhibitory Effect of Methanol Extract from Terminalia chebula Retz Fruits on α-Glucosidase. Food Science. 1 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.
Wang, Decheng & Hong Gao. (2003). The advancement on the signal transduction pathways and manipulation of apoptosis. Progress in Veterinary Medicine. 24(6). 4–7. 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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