Kunlun Huang

14.2k total citations · 2 hit papers
426 papers, 10.2k citations indexed

About

Kunlun Huang is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Kunlun Huang has authored 426 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 256 papers in Molecular Biology, 119 papers in Plant Science and 68 papers in Biomedical Engineering. Recurrent topics in Kunlun Huang's work include Advanced biosensing and bioanalysis techniques (89 papers), Genetically Modified Organisms Research (64 papers) and Biosensors and Analytical Detection (57 papers). Kunlun Huang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (89 papers), Genetically Modified Organisms Research (64 papers) and Biosensors and Analytical Detection (57 papers). Kunlun Huang collaborates with scholars based in China, Saudi Arabia and United States. Kunlun Huang's co-authors include Yunbo Luo, Wentao Xu, Xiaoyun He, Wentao Xu, Wentao Xu, Longjiao Zhu, Nan Cheng, Liye Zhu, Yuancong Xu and Boyang Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kunlun Huang

414 papers receiving 10.1k citations

Hit Papers

Research Progress of Safe... 2022 2026 2023 2024 2022 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunlun Huang China 50 5.1k 2.8k 1.9k 1.1k 1.1k 426 10.2k
Hesham R. El‐Seedi Sweden 59 3.6k 0.7× 2.4k 0.9× 1.4k 0.8× 1.9k 1.8× 1.1k 1.1× 412 12.6k
Huimin Wang China 56 4.8k 0.9× 1.7k 0.6× 1.1k 0.6× 866 0.8× 657 0.6× 524 12.6k
Younes Ghasemi Iran 58 5.4k 1.1× 1.1k 0.4× 2.1k 1.1× 1.2k 1.2× 2.1k 2.0× 432 12.6k
Chao Wang China 53 7.0k 1.4× 1.8k 0.6× 1.3k 0.7× 656 0.6× 934 0.9× 856 15.5k
Jun Wang China 50 3.3k 0.7× 1.4k 0.5× 1.9k 1.0× 879 0.8× 1.3k 1.2× 530 9.8k
Dongzhi Wei China 50 8.7k 1.7× 1.6k 0.6× 2.5k 1.3× 984 0.9× 661 0.6× 580 12.9k
Ahmed Al‐Harrasi Oman 54 4.5k 0.9× 3.9k 1.4× 765 0.4× 1.1k 1.0× 777 0.7× 831 14.3k
Yanbo Wang China 54 3.0k 0.6× 842 0.3× 1.1k 0.6× 1.7k 1.6× 882 0.8× 310 10.9k
Naïf Abdullah Al-Dhabi Saudi Arabia 65 4.0k 0.8× 3.8k 1.4× 1.9k 1.0× 2.2k 2.1× 3.3k 3.2× 482 16.0k
Yitao Wang Macao 62 6.7k 1.3× 2.1k 0.7× 1.1k 0.6× 776 0.7× 741 0.7× 359 14.2k

Countries citing papers authored by Kunlun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kunlun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kunlun Huang. A scholar is included among the top collaborators of Kunlun 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 Kunlun Huang. Kunlun 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.
Geng, Ruixuan, Seong‐Gook Kang, Kunlun Huang, et al.. (2025). Dietary supplementation with Dendrobium officinale flowers alleviates chronic UVB exposure-induced skin photoaging in hairless mice. Journal of Future Foods.
2.
Fang, Jing‐Jing, Seong‐Gook Kang, Kunlun Huang, & Tao Tong. (2025). Integrating 16S rRNA Gene Sequencing and Metabolomics Analysis to Reveal the Mechanism of L-Proline in Preventing Autism-like Behavior in Mice. Nutrients. 17(2). 247–247. 2 indexed citations
3.
Han, Xiao, et al.. (2025). Zearalenone exacerbates lipid metabolism disorders by promoting liver lipid droplet formation and disrupting gut microbiota. Ecotoxicology and Environmental Safety. 289. 117664–117664. 2 indexed citations
5.
Zhu, Longjiao, et al.. (2024). Uric acid biosensors based on molecular recognition: Classifications, advances, and prospects. TrAC Trends in Analytical Chemistry. 179. 117887–117887. 9 indexed citations
6.
Tong, Tao, Ruixuan Geng, Seong‐Gook Kang, Xiaomin Li, & Kunlun Huang. (2024). Revitalizing Photoaging Skin through Eugenol in UVB-Exposed Hairless Mice: Mechanistic Insights from Integrated Multi-Omics. Antioxidants. 13(2). 168–168. 8 indexed citations
7.
Geng, Ruixuan, et al.. (2024). Chronic UVB exposure induces hepatic injury in mice: Mechanistic insights from integrated multi-omics. Environmental Pollution. 362. 124933–124933. 1 indexed citations
8.
Wang, Wenli, et al.. (2024). Unlocking the power of Lactoferrin: Exploring its role in early life and its preventive potential for adult chronic diseases. Food Research International. 182. 114143–114143. 13 indexed citations
9.
Zhang, Chengmei, Jing‐Jing Fang, Ruixuan Geng, et al.. (2024). Diabetes-induced muscle wasting: molecular mechanisms and promising therapeutic targets. Critical Reviews in Food Science and Nutrition. 65(20). 4007–4023. 1 indexed citations
10.
Zhang, Chen, Huixian Huang, Xin Wang, et al.. (2024). Zwitterions modified biosensors improve detection performance in complex food matrices. Trends in Food Science & Technology. 145. 104374–104374. 10 indexed citations
11.
Asakiya, Charles, Yangzi Zhang, Liye Zhu, et al.. (2023). Self-assembled pH-responsive DNA nanosponges for targeted co-delivery of doxorubicin and capsaicin for colorectal cancer therapy. Biochemical Engineering Journal. 195. 108926–108926. 7 indexed citations
12.
Wang, Yanan, et al.. (2023). Olfr78, a novel short‐chain fatty acid receptor, regulates glucose homeostasis and gut GLP‐1 secretion in mice. SHILAP Revista de lepidopterología. 4(4). 1893–1912. 11 indexed citations
13.
Song, Guangchun, Jia Xu, Hong Zhong, et al.. (2023). Single-Atom Ce-N 4 -C-(OH) 2 Nanozyme-Catalyzed Cascade Reaction to Alleviate Hyperglycemia. Research. 6. 95–95. 20 indexed citations
14.
Li, Yining, Yan‐Ping Jiang, Qiaojuan Zhang, et al.. (2020). Rapid and visual detection of folic acid via supramolecular recognition with a perylene bisimide probe in aqueous media. Talanta. 219. 121222–121222. 20 indexed citations
15.
Huang, Kunlun, et al.. (2018). Tempering-Drying Simulation and Experimental Analysis of Corn Kernel. International Journal of Food Engineering. 14(1). 17 indexed citations
16.
Chang, Shi‐Min, et al.. (2017). Insoluble Dietary Fiber from Pear Pomace Can Prevent High-Fat Diet-Induced Obesity in Rats Mainly by Improving the Structure of the Gut Microbiota. Journal of Microbiology and Biotechnology. 27(4). 856–867. 49 indexed citations
17.
Yuan, Yanfang, Wentao Xu, Xiaoyun He, et al.. (2013). Effects of genetically modified T2A-1 rice on the GI health of rats after 90-day supplement. Scientific Reports. 3(1). 1962–1962. 30 indexed citations
18.
Liu, Haiyan, Wentao Xu, Yanfang Yuan, et al.. (2012). The effect of genetically modified Lactobacillus plantarum 590 on the gut health of sprague–dawley rats. IUBMB Life. 64(7). 617–627. 4 indexed citations
19.
Xu, Wentao, et al.. (2010). Research progress on assessment of genetically modified food safety by animal experiment.. Journal of Pharmaceutical and Biomedical Sciences. 18(4). 793–800. 1 indexed citations
20.

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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