Hailong An

1.9k total citations
95 papers, 1.4k citations indexed

About

Hailong An is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hailong An has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 21 papers in Cardiology and Cardiovascular Medicine and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hailong An's work include Ion channel regulation and function (45 papers), Cardiac electrophysiology and arrhythmias (20 papers) and Neuroscience and Neuropharmacology Research (18 papers). Hailong An is often cited by papers focused on Ion channel regulation and function (45 papers), Cardiac electrophysiology and arrhythmias (20 papers) and Neuroscience and Neuropharmacology Research (18 papers). Hailong An collaborates with scholars based in China, United States and Russia. Hailong An's co-authors include Yong Zhan, Shuai Guo, Sai Shi, Yafei Chen, Xuzhao Wang, Chunli Pang, Hailin Zhang, Biao Ma, Chengfen Xing and Chang Qu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and ACS Nano.

In The Last Decade

Hailong An

90 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailong An China 23 880 202 192 174 168 95 1.4k
Lucia Biasutto Italy 30 1.4k 1.5× 108 0.5× 155 0.8× 66 0.4× 77 0.5× 61 2.1k
Shuai Guo China 21 659 0.7× 53 0.3× 115 0.6× 89 0.5× 19 0.1× 77 1.1k
Rukhsana Gul Saudi Arabia 22 410 0.5× 80 0.4× 55 0.3× 229 1.3× 267 1.6× 65 1.3k
Paulina Koczurkiewicz Poland 21 615 0.7× 60 0.3× 82 0.4× 66 0.4× 48 0.3× 90 1.5k
Francesco Tadini‐Buoninsegni Italy 22 855 1.0× 144 0.7× 117 0.6× 183 1.1× 65 0.4× 66 1.4k
Andrea Mattarei Italy 25 896 1.0× 95 0.5× 199 1.0× 34 0.2× 67 0.4× 88 1.6k
Peilin Yu China 19 376 0.4× 71 0.4× 88 0.5× 23 0.1× 93 0.6× 48 1.1k
Artemissia‐Phoebe Nifli Greece 16 515 0.6× 84 0.4× 164 0.9× 33 0.2× 68 0.4× 24 1.4k
Xiaoyu Zhang China 23 957 1.1× 187 0.9× 74 0.4× 47 0.3× 180 1.1× 74 1.9k

Countries citing papers authored by Hailong An

Since Specialization
Citations

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

Fields of papers citing papers by Hailong An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong An

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong An. A scholar is included among the top collaborators of Hailong An 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 Hailong An. Hailong An 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
2.
Ma, Biao, Sai Shi, Wei Guo, et al.. (2024). Liensinine, a Novel and Food-Derived Compound, Exerts Potent Antihepatoma Efficacy via Inhibiting the Kv10.1 Channel. Journal of Agricultural and Food Chemistry. 72(9). 4689–4702. 3 indexed citations
3.
Yin, Chengyu, Sai Shi, Huimin Nie, et al.. (2024). CXCL5 activates CXCR2 in nociceptive sensory neurons to drive joint pain and inflammation in experimental gouty arthritis. Nature Communications. 15(1). 3263–3263. 26 indexed citations
4.
Qu, Chang, et al.. (2024). Electro‐Responsive Nanotherapeutics for Tumor Therapy by Manipulating Accidental and Regulated Cell Death Pathway. Advanced Therapeutics. 7(9). 2 indexed citations
5.
Qu, Chang, Guoqiang Song, Binghao Wang, et al.. (2023). NIR‐II Photothermal Activation of TRPV1 Channels for Intracellular Magnesium Regulation by Porous Pd@Pt Core–Shell Nanostructure to Reverse Tumor Multidrug Resistance. Advanced Functional Materials. 33(51). 12 indexed citations
6.
An, Hailong, et al.. (2023). Self-Association of ACE-2 with Different RBD Amounts: A Dynamic Simulation Perspective on SARS-CoV-2 Infection. Journal of Chemical Information and Modeling. 63(14). 4423–4432. 2 indexed citations
7.
Ma, Biao, et al.. (2023). Corydaline binds to a druggable pocket of hEAG1 channel and inhibits hepatic carcinoma cell viability. European Journal of Pharmacology. 962. 176240–176240. 3 indexed citations
8.
Li, Chaoqun, Sai Shi, Dong Gao, et al.. (2022). Near-Infrared Light-Responsive Nanoinhibitors for Tumor Suppression through Targeting and Regulating Anion Channels. ACS Applied Materials & Interfaces. 14(28). 31715–31726. 11 indexed citations
9.
Liu, Zixin, Jingxuan Fu, Hongbo Yuan, et al.. (2022). Polyisocyanide hydrogels with tunable nonlinear elasticity mediate liver carcinoma cell functional response. Acta Biomaterialia. 148. 152–162. 16 indexed citations
10.
Zhang, Yongxue, Sai Shi, Han Hao, et al.. (2022). Protein disulfide isomerase modulation of TRPV1 controls heat hyperalgesia in chronic pain. Cell Reports. 39(1). 110625–110625. 12 indexed citations
11.
Guo, Shuai, Sai Shi, Xuzhao Wang, et al.. (2021). Emerging Modulators of TMEM16A and Their Therapeutic Potential. The Journal of Membrane Biology. 254(4). 353–365. 27 indexed citations
12.
Shi, Sai, Junwei Li, Fude Sun, et al.. (2020). Molecular Mechanisms and Structural Basis of Retigabine Analogues in Regulating KCNQ2 Channel. The Journal of Membrane Biology. 253(2). 167–181. 15 indexed citations
13.
Wang, Xuzhao, Yafei Chen, Hui Liu, et al.. (2019). A novel anti-cancer mechanism of Nutlin-3 through downregulation of Eag1 channel and PI3K/AKT pathway. Biochemical and Biophysical Research Communications. 517(3). 445–451. 7 indexed citations
14.
Wang, Xuzhao, Junwei Li, Shuai Guo, et al.. (2018). Tetrandrine, a novel inhibitor of ether‐à‐go‐go‐1 (Eag1), targeted to cervical cancer development. Journal of Cellular Physiology. 234(5). 7161–7173. 28 indexed citations
15.
Guo, Shuai, et al.. (2018). Recent advances in TMEM16A: Structure, function, and disease. Journal of Cellular Physiology. 234(6). 7856–7873. 99 indexed citations
16.
Guo, Shuai, Chunli Pang, Xuzhao Wang, et al.. (2018). Matrine is a novel inhibitor of the TMEM16A chloride channel with antilung adenocarcinoma effects. Journal of Cellular Physiology. 234(6). 8698–8708. 70 indexed citations
17.
Guo, Shuai, et al.. (2018). The Natural Compound Cinnamaldehyde is a Novel Activator of Calcium-Activated Chloride Channel. The Journal of Membrane Biology. 251(5-6). 747–756. 15 indexed citations
18.
Wang, Xuzhao, Yafei Chen, Yuhong Zhang, et al.. (2017). Eag1 Voltage-Dependent Potassium Channels: Structure, Electrophysiological Characteristics, and Function in Cancer. The Journal of Membrane Biology. 250(2). 123–132. 20 indexed citations
19.
Chai, Ran, Yafei Chen, Hongbo Yuan, et al.. (2017). Identification of Resveratrol, an Herbal Compound, as an Activator of the Calcium-Activated Chloride Channel, TMEM16A. The Journal of Membrane Biology. 250(5). 483–492. 27 indexed citations
20.
Pang, Chunli, et al.. (2017). Hydrocinnamic Acid Inhibits the Currents of WT and SQT3 Syndrome-Related Mutants of Kir2.1 Channel. The Journal of Membrane Biology. 250(5). 425–432. 7 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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