Jinlong Qi

751 total citations
29 papers, 587 citations indexed

About

Jinlong Qi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Jinlong Qi has authored 29 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Sensory Systems. Recurrent topics in Jinlong Qi's work include Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (9 papers) and Pain Mechanisms and Treatments (5 papers). Jinlong Qi is often cited by papers focused on Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (9 papers) and Pain Mechanisms and Treatments (5 papers). Jinlong Qi collaborates with scholars based in China, United Kingdom and Canada. Jinlong Qi's co-authors include Hailin Zhang, Xiaona Du, Nikita Gamper, Hailin Zhang, Fan Zhang, Yani Liu, Dongyang Huang, Yafei Chen, Shuai Guo and Yong Zhan and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Scientific Reports.

In The Last Decade

Jinlong Qi

28 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinlong Qi China 15 351 149 147 88 80 29 587
Humberto C. Joca United States 14 296 0.8× 145 1.0× 94 0.6× 47 0.5× 118 1.5× 34 624
Xudong Ding China 13 270 0.8× 81 0.5× 67 0.5× 45 0.5× 57 0.7× 36 563
H Ozaki Japan 4 340 1.0× 252 1.7× 104 0.7× 58 0.7× 135 1.7× 7 702
Haijie Yu United States 15 337 1.0× 65 0.4× 87 0.6× 71 0.8× 56 0.7× 29 677
Cheng-Ying Ho Taiwan 10 291 0.8× 152 1.0× 68 0.5× 33 0.4× 12 0.1× 11 626
Yun‐Beom Sim South Korea 14 209 0.6× 166 1.1× 90 0.6× 18 0.2× 20 0.3× 53 627
Ernő Zádor Hungary 17 584 1.7× 124 0.8× 262 1.8× 13 0.1× 114 1.4× 44 1.0k
Katsura Nozawa Japan 17 446 1.3× 306 2.1× 176 1.2× 429 4.9× 41 0.5× 21 1.2k
Hidetsugu Okada Japan 6 224 0.6× 104 0.7× 131 0.9× 196 2.2× 18 0.2× 7 540
Mohaddeseh Sadat Alavi Iran 15 192 0.5× 81 0.5× 121 0.8× 29 0.3× 26 0.3× 44 611

Countries citing papers authored by Jinlong Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Qi. A scholar is included among the top collaborators of Jinlong Qi 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 Jinlong Qi. Jinlong Qi 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.
Yang, Le, Jie Wang, Peng Li, et al.. (2025). Metabolomic biomarkers discovery across chronic gastritis to gastric cancer progression. Scientific Reports. 15(1). 33706–33706. 1 indexed citations
2.
Liu, Dingyang, et al.. (2024). Development of a multi-level pH-responsive lipid nanoplatform for efficient co-delivery of siRNA and small-molecule drugs in tumor treatment. Chinese Chemical Letters. 35(12). 109660–109660. 3 indexed citations
3.
4.
Qi, Jinlong, et al.. (2023). Study on optimization of communication network for multi-unmanned aerial vehicles. EURASIP Journal on Wireless Communications and Networking. 2023(1). 3 indexed citations
5.
Fallah, Hamideh P., Jinlong Qi, He Qian, et al.. (2022). A Review on the Role of TRP Channels and Their Potential as Drug Targets_An Insight Into the TRP Channel Drug Discovery Methodologies. Frontiers in Pharmacology. 13. 914499–914499. 24 indexed citations
6.
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
7.
Wang, Dong, Wei Zhang, Lujia Wang, et al.. (2020). Gender differences in acute toxicity, toxicokinetic and tissue distribution of amphotericin B liposomes in rats. Toxicology Letters. 338. 78–84. 7 indexed citations
8.
Guo, Shuai, Hui Wang, Chunli Pang, et al.. (2019). Entering the spotlight: Chitosan oligosaccharides as novel activators of CaCCs/TMEM16A. Pharmacological Research. 146. 104323–104323. 26 indexed citations
9.
Zhang, Jiaqi, et al.. (2018). Exploring in vivo metabolism and excretion of QO-58L using ultra-high-performance liquid chromatography coupled with tandem mass spectrometry. European Journal of Pharmaceutical Sciences. 117. 379–391. 1 indexed citations
10.
Du, Xiaona, Sha Huang, Caixue Wang, et al.. (2017). Local GABAergic signaling within sensory ganglia controls peripheral nociceptive transmission. Journal of Clinical Investigation. 127(5). 1741–1756. 128 indexed citations
11.
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
12.
Guo, Shuai, Yafei Chen, Chunli Pang, et al.. (2017). Ginsenoside Rb1, a novel activator of the TMEM16A chloride channel, augments the contraction of guinea pig ileum. Pflügers Archiv - European Journal of Physiology. 469(5-6). 681–692. 43 indexed citations
13.
Teng, Bochuan, Yan Song, Fan Zhang, et al.. (2016). Activation of neuronal Kv7/KCNQ/M-channels by the opener QO58-lysine and its anti-nociceptive effects on inflammatory pain in rodents. Acta Pharmacologica Sinica. 37(8). 1054–1062. 25 indexed citations
14.
Qi, Jinlong, et al.. (2014). Development and validation of HTS assay for screening the calcium-activated chloride channel modulators in TMEM16A stably expressed CHO cells. Analytical and Bioanalytical Chemistry. 406(6). 1713–1721. 10 indexed citations
15.
Liu, Yani, Huiran Zhang, Dongyang Huang, et al.. (2014). Characterization of the effects of Cl− channel modulators on TMEM16A and bestrophin-1 Ca2+ activated Cl− channels. Pflügers Archiv - European Journal of Physiology. 467(7). 1417–1430. 82 indexed citations
16.
Zhang, Xuan, Fan Zhang, Jinlong Qi, et al.. (2013). The Role of Potassium Channel Activation in Celecoxib-Induced Analgesic Action. PLoS ONE. 8(1). e54797–e54797. 16 indexed citations
17.
18.
Qi, Jinlong, Fan Zhang, Yi Mi, et al.. (2011). Design, synthesis and biological activity of pyrazolo[1,5-a]pyrimidin-7(4H)-ones as novel Kv7/KCNQ potassium channel activators. European Journal of Medicinal Chemistry. 46(3). 934–943. 40 indexed citations
19.
Jia, Caixia, Jinlong Qi, Fan Zhang, et al.. (2011). Activation of KCNQ2/3 Potassium Channels by Novel Pyrazolo[1,5-a]pyrimidin-7(4H)-One Derivatives. Pharmacology. 87(5-6). 297–310. 17 indexed citations
20.
Shi, Zhang, et al.. (2008). Urinary Sediment Overlapping Cells Image Segmentation Based on Combination Strategy. 3–7. 3 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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