Changlong Hu

1.4k total citations
47 papers, 1.1k citations indexed

About

Changlong Hu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Changlong Hu has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Changlong Hu's work include Ion channel regulation and function (14 papers), Hormonal Regulation and Hypertension (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). Changlong Hu is often cited by papers focused on Ion channel regulation and function (14 papers), Hormonal Regulation and Hypertension (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). Changlong Hu collaborates with scholars based in China, United States and France. Changlong Hu's co-authors include Paula Q. Barrett, Yan‐Ai Mei, Nick A. Guagliardo, Junlan Yao, Douglas A. Bayliss, Robert M. Carey, Tingting Yang, Menghua Zhou, Lucinda A. Davies and Edmund M. Talley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Changlong Hu

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changlong Hu China 20 687 314 311 184 165 47 1.1k
Mangala M. Soundarapandian United States 15 888 1.3× 93 0.3× 399 1.3× 109 0.6× 68 0.4× 18 1.5k
Philippe Ghisdal Belgium 15 560 0.8× 91 0.3× 242 0.8× 82 0.4× 309 1.9× 21 1.2k
K. Fujimoto Japan 18 415 0.6× 323 1.0× 109 0.4× 330 1.8× 73 0.4× 50 1.3k
Elena Deliu United States 15 396 0.6× 170 0.5× 183 0.6× 83 0.5× 57 0.3× 22 948
Teresa Giráldez Spain 21 768 1.1× 90 0.3× 396 1.3× 46 0.3× 340 2.1× 51 1.0k
Rostislav Bychkov Germany 19 840 1.2× 86 0.3× 290 0.9× 142 0.8× 566 3.4× 35 1.4k
Alexander I. Bondarenko Austria 20 608 0.9× 74 0.2× 290 0.9× 125 0.7× 90 0.5× 46 1.0k
Hiroshi Onogi Japan 17 281 0.4× 133 0.4× 132 0.4× 54 0.3× 75 0.5× 32 962
Oleg Zaika United States 28 1.5k 2.1× 234 0.7× 500 1.6× 68 0.4× 491 3.0× 68 1.9k
Robert J. Gaivin United States 21 953 1.4× 84 0.3× 663 2.1× 67 0.4× 177 1.1× 34 1.4k

Countries citing papers authored by Changlong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Changlong Hu. A scholar is included among the top collaborators of Changlong Hu 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 Changlong Hu. Changlong Hu 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
3.
Li, Yi, Long Zhao, Qiang Li, et al.. (2023). A machine learning-based PET/CT model for automatic diagnosis of early-stage lung cancer. Frontiers in Oncology. 13. 1192908–1192908. 8 indexed citations
5.
Li, Zhaoyang, et al.. (2021). Protein Kinase C Controls the Excitability of Cortical Pyramidal Neurons by Regulating Kv2.2 Channel Activity. Neuroscience Bulletin. 38(2). 135–148. 9 indexed citations
6.
Yang, Tingting, Min He, & Changlong Hu. (2017). Regulation of aldosterone production by ion channels: From basal secretion to primary aldosteronism. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(3). 871–881. 17 indexed citations
7.
8.
Liu, Xiaoyu, et al.. (2015). Leukotriene B4 Inhibits L-Type Calcium Channels via p38 Signaling Pathway in Vascular Smooth Muscle Cells. Cellular Physiology and Biochemistry. 37(5). 1903–1913. 10 indexed citations
9.
Cui, Yujie, Xiaoyu Liu, Tingting Yang, Yan‐Ai Mei, & Changlong Hu. (2013). Exposure to extremely low-frequency electromagnetic fields inhibits T-type calcium channels via AA/LTE4 signaling pathway. Cell Calcium. 55(1). 48–58. 35 indexed citations
10.
Zheng, Hongying, Menghua Zhou, Changlong Hu, et al.. (2013). Differential Roles of the C and N Termini of Orai1 Protein in Interacting with Stromal Interaction Molecule 1 (STIM1) for Ca2+ Release-activated Ca2+ (CRAC) Channel Activation. Journal of Biological Chemistry. 288(16). 11263–11272. 71 indexed citations
11.
He, Yanlin, Chun-Lei Zhang, Xiaofei Gao, et al.. (2012). Cyproheptadine Enhances the IK of Mouse Cortical Neurons through Sigma-1 Receptor-Mediated Intracellular Signal Pathway. PLoS ONE. 7(7). e41303–e41303. 12 indexed citations
12.
Hu, Changlong, Craig G. Rusin, Zhi‐Yong Tan, Nick A. Guagliardo, & Paula Q. Barrett. (2012). Zona glomerulosa cells of the mouse adrenal cortex are intrinsic electrical oscillators. Journal of Clinical Investigation. 122(6). 2046–2053. 77 indexed citations
13.
Zhou, Menghua, Guang Yang, Song Jiao, Changlong Hu, & Yan‐Ai Mei. (2011). Cholesterol enhances neuron susceptibility to apoptotic stimuli via cAMP/PKA/CREB‐dependent up‐regulation of Kv2.1. Journal of Neurochemistry. 120(4). 502–514. 22 indexed citations
14.
Li, Hao, Xin Shi, Jianping Liu, et al.. (2010). The soluble fragment of VE-cadherin inhibits angiogenesis by reducing endothelial cell proliferation and tube capillary formation. Cancer Gene Therapy. 17(10). 700–707. 13 indexed citations
15.
Davies, Lucinda A., Changlong Hu, Nick A. Guagliardo, et al.. (2008). TASK channel deletion in mice causes primary hyperaldosteronism. Proceedings of the National Academy of Sciences. 105(6). 2203–2208. 150 indexed citations
16.
Hu, Changlong, et al.. (2008). Kv 1.1 is associated with neuronal apoptosis and modulated by protein kinase C in the rat cerebellar granule cell. Journal of Neurochemistry. 106(3). 1125–1137. 29 indexed citations
17.
Zhou, Miou, Zheng Liu, Changlong Hu, Zhihong Zhang, & Yan‐Ai Mei. (2004). Developmental Regulation of a Na<sup>+</sup>-activated Fast Outward K<sup>+</sup> Current in Rat Myoblasts. Cellular Physiology and Biochemistry. 14(4-6). 225–230. 14 indexed citations
18.
Jiao, Song, Ming‐Ming Wu, Changlong Hu, Zhihong Zhang, & Yan‐Ai Mei. (2004). Melatonin receptor agonist 2‐iodomelatonin prevents apoptosis of cerebellar granule neurons via K+ current inhibition. Journal of Pineal Research. 36(2). 109–116. 35 indexed citations
19.
Hu, Changlong, et al.. (2004). 2‐Iodomelatonin prevents apoptosis of cerebellar granule neurons via inhibition of A‐type transient outward K+ currents. Journal of Pineal Research. 38(1). 53–61. 30 indexed citations
20.
Hu, Changlong, et al.. (2001). Exploration of reaction system of randomly amplified polymorphic DNA analysis in wheat. Biotechnology(Faisalabad). 11(6). 4–7. 1 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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