Liquan Huang

5.1k total citations
102 papers, 3.9k citations indexed

About

Liquan Huang is a scholar working on Nutrition and Dietetics, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, Liquan Huang has authored 102 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Nutrition and Dietetics, 47 papers in Sensory Systems and 36 papers in Biomedical Engineering. Recurrent topics in Liquan Huang's work include Biochemical Analysis and Sensing Techniques (53 papers), Olfactory and Sensory Function Studies (44 papers) and Advanced Chemical Sensor Technologies (32 papers). Liquan Huang is often cited by papers focused on Biochemical Analysis and Sensing Techniques (53 papers), Olfactory and Sensory Function Studies (44 papers) and Advanced Chemical Sensor Technologies (32 papers). Liquan Huang collaborates with scholars based in China, United States and Japan. Liquan Huang's co-authors include Hong Wang, Robert F. Margolskee, Marianna Max, Kenji Maehashi, Minqing Rong, Joseph G. Brand, Y. Gopi Shanker, Minliang Zhou, Ping Wang and Axel Preuss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Liquan Huang

99 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liquan Huang China 31 2.5k 2.3k 1.5k 860 483 102 3.9k
Bernd Bufe Germany 23 3.1k 1.2× 2.7k 1.2× 1.8k 1.2× 921 1.1× 507 1.0× 37 3.9k
Sami Damak United States 24 2.6k 1.0× 2.1k 0.9× 1.2k 0.8× 689 0.8× 327 0.7× 34 3.5k
Peihua Jiang United States 30 2.9k 1.2× 2.3k 1.0× 1.6k 1.0× 1.1k 1.3× 332 0.7× 62 4.3k
Noriatsu Shigemura Japan 29 2.5k 1.0× 2.1k 0.9× 1.0k 0.7× 520 0.6× 320 0.7× 74 3.3k
Joseph G. Brand United States 33 2.0k 0.8× 1.7k 0.8× 1.1k 0.7× 647 0.8× 606 1.3× 96 3.3k
Elliot Adler United States 9 3.8k 1.5× 3.1k 1.4× 2.1k 1.4× 892 1.0× 563 1.2× 9 4.3k
Un‐Kyung Kim South Korea 29 1.7k 0.7× 2.3k 1.0× 1.2k 0.8× 1.2k 1.4× 132 0.3× 114 3.9k
Sue C. Kinnamon United States 43 4.8k 1.9× 4.2k 1.8× 2.7k 1.8× 1.2k 1.3× 1.2k 2.5× 96 5.9k
Ichiro Matsumoto Japan 33 1.8k 0.7× 1.4k 0.6× 729 0.5× 1.1k 1.2× 357 0.7× 93 4.2k
Loı̈c Briand France 34 1.2k 0.5× 1.1k 0.5× 668 0.4× 879 1.0× 924 1.9× 123 3.3k

Countries citing papers authored by Liquan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Liquan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liquan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Liquan Huang. A scholar is included among the top collaborators of Liquan 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 Liquan Huang. Liquan 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.
Huang, Liquan, et al.. (2025). ZC3H15 suppression ameliorates bone cancer pain through inhibiting neuronal oxidative stress and microglial inflammation. Neoplasia. 61. 101123–101123. 1 indexed citations
2.
Xiao, Chaogeng, Cen Zhang, Wenjing Lü, et al.. (2024). Identification of salty peptides from enzymolysis extract of oyster by peptidomics and virtual screening. Food Research International. 195. 114966–114966. 10 indexed citations
3.
Zhang, Xinyi, Xinyi Zhang, Liquan Huang, Xiaobo Zhang, & Xiaobo Zhang. (2024). Ancient deep-sea environmental virome provides insights into the evolution of human pathogenic RNA viruses. Resources Environment and Sustainability. 18. 100175–100175.
5.
Hao, Lei, Yihong Li, Damiano Buratto, et al.. (2023). Tuft cells utilize taste signaling molecules to respond to the pathobiont microbe Ruminococcus gnavus in the proximal colon. Frontiers in Immunology. 14. 1259521–1259521. 6 indexed citations
6.
Zhang, Xinyi, et al.. (2023). Environmental viromes reveal global virosphere of deep-sea sediment RNA viruses. Journal of Advanced Research. 56. 87–102. 6 indexed citations
7.
Luo, Xiaocui, Dong-Xiao Zhao, Chen Lǚ, et al.. (2019). Infection by the parasitic helminth Trichinella spiralis activates a Tas2r-mediated signaling pathway in intestinal tuft cells. Proceedings of the National Academy of Sciences. 116(12). 5564–5569. 162 indexed citations
8.
Qin, Chunlian, Zhen Qin, Dong-Xiao Zhao, et al.. (2019). A bioinspired in vitro bioelectronic tongue with human T2R38 receptor for high-specificity detection of N-C=S-containing compounds. Talanta. 199. 131–139. 24 indexed citations
9.
Zhong, Chao, Shanshan Yang, Junfang Zhao, et al.. (2015). Developmental expression of the N-myc downstream regulated gene (Ndrg) family during Xenopus tropicalis embryogenesis. The International Journal of Developmental Biology. 59(10-11-12). 511–517. 9 indexed citations
10.
Feng, Pu, et al.. (2014). Interleukin-10 Is Produced by a Specific Subset of Taste Receptor Cells and Critical for Maintaining Structural Integrity of Mouse Taste Buds. Journal of Neuroscience. 34(7). 2689–2701. 41 indexed citations
11.
Zhu, Xiaolong, Zheng Li, Dan Jiang, et al.. (2012). Characterization and expressional analysis of Dleu7 during Xenopus tropicalis embryogenesis. Gene. 509(1). 77–84. 4 indexed citations
12.
Huang, Liquan. (2011). Experimental Investigation on Vibration Control of Rotor-bearing System with Active Magnetic Exciter. 2 indexed citations
13.
Huang, Liquan. (2011). Influence of different enteral feeding route through nose on course of diseases in severe acute pancreatitis. 1 indexed citations
14.
Wang, Hong, Minliang Zhou, Joseph G. Brand, & Liquan Huang. (2009). Inflammation and Taste Disorders. Annals of the New York Academy of Sciences. 1170(1). 596–603. 124 indexed citations
15.
Shu, Lei, et al.. (2009). Effect of Shenfu Injection on tissue oxygen metabolism in patients with severe sepsis. Zhonghua zhongyiyao zazhi. 24(7). 965–967. 1 indexed citations
16.
Wang, Hong, Naoko Iguchi, Rong Qi, et al.. (2008). Expression of the voltage‐gated potassium channel KCNQ1 in mammalian taste bud cells and the effect of its null‐mutation on taste preferences. The Journal of Comparative Neurology. 512(3). 384–398. 36 indexed citations
17.
Wang, Hong, Minliang Zhou, Joseph G. Brand, & Liquan Huang. (2007). Inflammation Activates the Interferon Signaling Pathways in Taste Bud Cells. Journal of Neuroscience. 27(40). 10703–10713. 82 indexed citations
18.
Huang, Liquan. (2006). Study on the antibacterial activity of Leontopodium leontopodioides (Willd.) Beauv. in vitro. 2 indexed citations
19.
Li, Xia, Weihua Li, Hong Wang, et al.. (2006). Cats Lack a Sweet Taste Receptor. Journal of Nutrition. 136(7). 1932S–1934S. 53 indexed citations
20.
Ke, Lu, Amanda H. McDaniel, Michael G. Tordoff, et al.. (2005). No Relationship between Sequence Variation in Protein Coding Regions of the Tas1r3 Gene and Saccharin Preference in Rats. Chemical Senses. 30(3). 231–240. 20 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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