Huiling Gao

2.0k total citations
59 papers, 1.5k citations indexed

About

Huiling Gao is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Huiling Gao has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 16 papers in Physiology and 13 papers in Nutrition and Dietetics. Recurrent topics in Huiling Gao's work include Alzheimer's disease research and treatments (13 papers), Trace Elements in Health (12 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Huiling Gao is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Trace Elements in Health (12 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Huiling Gao collaborates with scholars based in China, United States and Japan. Huiling Gao's co-authors include Jianping Li, Zhan‐You Wang, Chao Lu, Xiaoyu Zhang, He Xu, Manli Zhong, Qipeng Yuan, Chuang Guo, Xiancheng Zhang and Pu Zhao and has published in prestigious journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Huiling Gao

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiling Gao China 25 696 292 224 222 199 59 1.5k
David B. Lovejoy Australia 24 822 1.2× 295 1.0× 187 0.8× 140 0.6× 194 1.0× 33 2.2k
Jun Sung Kim South Korea 21 929 1.3× 327 1.1× 95 0.4× 256 1.2× 473 2.4× 45 2.3k
Chunli Liu China 18 901 1.3× 155 0.5× 67 0.3× 96 0.4× 216 1.1× 83 1.6k
Diego La Mendola Italy 28 929 1.3× 243 0.8× 403 1.8× 472 2.1× 236 1.2× 119 2.3k
Yuanyuan Huang China 27 892 1.3× 246 0.8× 109 0.5× 458 2.1× 1.3k 6.4× 81 2.9k
Ling Wu China 26 971 1.4× 339 1.2× 62 0.3× 540 2.4× 170 0.9× 91 2.6k
Xue Xue China 30 1.1k 1.6× 701 2.4× 48 0.2× 286 1.3× 475 2.4× 93 3.0k
Yaping Pan China 24 700 1.0× 131 0.4× 149 0.7× 92 0.4× 224 1.1× 56 1.6k
Shahin Ahmadian Iran 25 736 1.1× 225 0.8× 51 0.2× 324 1.5× 302 1.5× 97 1.9k

Countries citing papers authored by Huiling Gao

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiling Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Huiling Gao. A scholar is included among the top collaborators of Huiling 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 Huiling Gao. Huiling 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.
Zhang, Yahong, Pu Zhao, Huiling Gao, Manli Zhong, & Jiayi Li. (2024). Screening Targets and Therapeutic Drugs for Alzheimer’s Disease Based on Deep Learning Model and Molecular Docking. Journal of Alzheimer s Disease. 100(3). 863–878. 1 indexed citations
3.
Zhang, Yahong, Ruifang Guo, Gangyi Feng, et al.. (2024). AβPP-tau-HAS1 axis trigger HAS1-related nuclear speckles and gene transcription in Alzheimer's disease. Matrix Biology. 129. 29–43. 4 indexed citations
4.
Zhang, Xiaoyu, Yue Sun, Xiancheng Zhang, et al.. (2024). Deciphering the endogenous SUMO-1 landscape: a novel combinatorial peptide enrichment strategy for global profiling and disease association. Chemical Science. 16(6). 2634–2647. 3 indexed citations
5.
Zhang, Xiancheng, Xiaoyu Zhang, Huiling Gao, & Guangyan Qing. (2022). Phage display derived peptides for Alzheimer's disease therapy and diagnosis. Theranostics. 12(5). 2041–2062. 48 indexed citations
6.
Zhang, Yanhui, Huiling Gao, Wei Zheng, & He Xu. (2022). Current understanding of the interactions between metal ions and Apolipoprotein E in Alzheimer’s disease. Neurobiology of Disease. 172. 105824–105824. 22 indexed citations
7.
Wei, Bin, et al.. (2021). Highly Selective Entrapment of His-Tagged Enzymes on Superparamagnetic Zirconium-Based MOFs with Robust Renewability to Enhance pH and Thermal Stability. ACS Biomaterials Science & Engineering. 7(8). 3727–3736. 35 indexed citations
8.
Wei, Bin, Fang Liu, Xiaojie Liu, et al.. (2021). Enhancing stability and by-product tolerance of β-glucuronidase based on magnetic cross-linked enzyme aggregates. Colloids and Surfaces B Biointerfaces. 210. 112241–112241. 15 indexed citations
9.
10.
Wu, Qiao, et al.. (2020). Calcium phosphate coated core-shell protein nanocarriers: Robust stability, controlled release and enhanced anticancer activity for curcumin delivery. Materials Science and Engineering C. 115. 111094–111094. 21 indexed citations
11.
Wang, Zhuo, Yahong Zhang, Wei Zhang, et al.. (2018). Copper chelators promote nonamyloidogenic processing of AβPP via MT1/2/CREB‐dependent signaling pathways in AβPP/PS1 transgenic mice. Journal of Pineal Research. 65(3). e12502–e12502. 36 indexed citations
12.
Jiang, Yang, Jinpeng Zhou, Peng Luo, et al.. (2018). Prosaposin promotes the proliferation and tumorigenesis of glioma through toll-like receptor 4 (TLR4)-mediated NF-κB signaling pathway. EBioMedicine. 37. 78–90. 57 indexed citations
13.
Zhang, Linlin, Huiling Gao, Wenyan Yang, et al.. (2018). Self-Powered Implantable Skin-Like Glucometer for Real-Time Detection of Blood Glucose Level In Vivo. Nano-Micro Letters. 10(2). 32–32. 76 indexed citations
14.
Li, Xuan, Hiroaki Nabeka, Shouichiro Saito, et al.. (2017). Expression of prosaposin and its receptors in the rat cerebellum after kainic acid injection. IBRO Reports. 2. 31–40. 17 indexed citations
15.
Guo, Chuang, Lijuan Hao, Zhaohui Yang, et al.. (2016). Deferoxamine-mediated up-regulation of HIF-1α prevents dopaminergic neuronal death via the activation of MAPK family proteins in MPTP-treated mice. Experimental Neurology. 280. 13–23. 78 indexed citations
16.
Guo, Feng, Xiaoxue Xu, Zaixing Chen, et al.. (2015). Abnormal alterations in the Ca2+/CaV1.2/calmodulin/caMKII signaling pathway in a tremor rat model and in cultured hippocampal neurons exposed to Mg2+-free solution. Molecular Medicine Reports. 12(5). 6663–6671. 4 indexed citations
17.
Sun, Tianshu, Xiao Ju, Huiling Gao, et al.. (2014). Reciprocal functions of Cryptococcus neoformans copper homeostasis machinery during pulmonary infection and meningoencephalitis. Nature Communications. 5(1). 5550–5550. 74 indexed citations
18.
Xue, Bing, Jie Chen, Huiling Gao, et al.. (2011). Chronological changes in prosaposin in the developing rat brain. Neuroscience Research. 71(1). 22–34. 6 indexed citations
19.
Xu, He, Huiling Gao, Wei Zheng, et al.. (2010). Lactational zinc deficiency‐induced hippocampal neuronal apoptosis by a BDNF‐independent TrkB signaling pathway. Hippocampus. 21(5). 495–501. 26 indexed citations
20.
Gao, Huiling, He Xu, Na Xin, et al.. (2010). Disruption of the CaMKII/CREB Signaling is Associated with Zinc Deficiency-Induced Learning and Memory Impairments. Neurotoxicity Research. 19(4). 584–591. 35 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David B. Lovejoy Breakdown of academic impact, for papers by Jun Sung Kim Breakdown of academic impact, for papers by Chunli Liu Breakdown of academic impact, for papers by Diego La Mendola Breakdown of academic impact, for papers by Yuanyuan Huang Breakdown of academic impact, for papers by Ling Wu Breakdown of academic impact, for papers by Xue Xue Breakdown of academic impact, for papers by Yaping Pan Breakdown of academic impact, for papers by Shahin Ahmadian
Rankless by CCL
2026