Qinghua Jin

2.7k total citations
94 papers, 2.3k citations indexed

About

Qinghua Jin is a scholar working on Materials Chemistry, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qinghua Jin has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 20 papers in Organic Chemistry and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qinghua Jin's work include Block Copolymer Self-Assembly (24 papers), Advanced Polymer Synthesis and Characterization (17 papers) and Neuroscience and Neuropharmacology Research (14 papers). Qinghua Jin is often cited by papers focused on Block Copolymer Self-Assembly (24 papers), Advanced Polymer Synthesis and Characterization (17 papers) and Neuroscience and Neuropharmacology Research (14 papers). Qinghua Jin collaborates with scholars based in China, Canada and Japan. Qinghua Jin's co-authors include Datong Ding, Baohui Li, An‐Chang Shi, Pingchuan Sun, Tiehong Chen, Bin Yu, Hiroshi Kannan, Yuhua Yin, Takato Kunitake and Run Jiang and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Qinghua Jin

93 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghua Jin China 29 1.4k 888 395 333 257 94 2.3k
Anna Carlsson Sweden 36 3.9k 2.8× 612 0.7× 206 0.5× 66 0.2× 494 1.9× 103 6.2k
Peter F. W. Simon Germany 22 755 0.5× 861 1.0× 357 0.9× 651 2.0× 401 1.6× 64 2.5k
Takeshi Hanada Japan 23 597 0.4× 378 0.4× 53 0.1× 107 0.3× 101 0.4× 55 1.9k
Jordi Casanovas Spain 37 1.2k 0.9× 698 0.8× 82 0.2× 796 2.4× 534 2.1× 194 4.4k
Marco Giorgetti Italy 41 1.1k 0.8× 455 0.5× 72 0.2× 627 1.9× 125 0.5× 146 4.6k
Alioscka A. Sousa United States 26 1.0k 0.7× 155 0.2× 445 1.1× 151 0.5× 894 3.5× 70 3.1k
Jun Kawamata Japan 32 1.3k 1.0× 394 0.4× 36 0.1× 194 0.6× 521 2.0× 174 3.5k
Pau Gorostiza Spain 40 2.9k 2.0× 538 0.6× 69 0.2× 124 0.4× 871 3.4× 155 5.5k
Klaus Schröter Germany 29 1.4k 1.0× 555 0.6× 39 0.1× 999 3.0× 344 1.3× 72 3.9k
Anthony M. Rush United States 32 388 0.3× 328 0.4× 128 0.3× 121 0.4× 464 1.8× 43 4.3k

Countries citing papers authored by Qinghua Jin

Since Specialization
Citations

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

Fields of papers citing papers by Qinghua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghua Jin. A scholar is included among the top collaborators of Qinghua Jin 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 Qinghua Jin. Qinghua Jin 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.
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Wang, Linping, Wei‐Yao Wang, Yingshun Li, et al.. (2024). Dopamine and D1 receptor in hippocampal dentate gyrus involved in chronic stress-induced alteration of spatial learning and memory in rats. Neurobiology of Stress. 33. 100685–100685. 2 indexed citations
3.
Wu, Yun, Qinghua Jin, Yanyi Chen, et al.. (2024). The Hoabinhian technocomplex in southwest China: Preliminary report on new discoveries in recent decades. L Anthropologie. 128(1). 103234–103234. 5 indexed citations
4.
Xiao, Bin, Huaying Liu, Linping Wang, et al.. (2024). Enhanced NMDA receptor pathway and glutamate transmission in the hippocampal dentate gyrus mediate the spatial learning and memory impairment of obese rats. Pflügers Archiv - European Journal of Physiology. 476(5). 821–831. 5 indexed citations
5.
Ren, Peng, Bin Xiao, Linping Wang, et al.. (2022). Nitric oxide impairs spatial learning and memory in a rat model of Alzheimer’s disease via disturbance of glutamate response in the hippocampal dentate gyrus during spatial learning. Behavioural Brain Research. 422. 113750–113750. 15 indexed citations
6.
Wang, Zhengjia, et al.. (2019). DFT study of structural, elastic, electronic and dielectric properties of blue phosphorus nanotubes. Scientific Reports. 9(1). 11264–11264. 28 indexed citations
7.
Wang, Feixue, Peng Wan, Wei‐Yao Wang, et al.. (2018). Dopamine in the hippocampal dentate gyrus modulates spatial learning via D1-like receptors. Brain Research Bulletin. 144. 101–107. 17 indexed citations
8.
9.
Jiang, Haiying, Guangxian Zhao, Xiang Li, et al.. (2016). Association between omentin and echo parameters in patients with chronic heart failure. Minerva Cardiology and Angiology. 65(1). 8–15. 5 indexed citations
10.
11.
Jin, Ri, et al.. (2015). Propofol depresses cerebellar Purkinje cell activity via activation of GABAA and glycine receptors in vivo in mice. European Journal of Pharmacology. 764. 87–93. 16 indexed citations
12.
Chu, Chun‐Ping, et al.. (2013). Effects of Stresscopin on Rat Hypothalamic Paraventricular Nucleus Neurons In Vitro. PLoS ONE. 8(1). e53863–e53863. 10 indexed citations
13.
Wang, Dan, Hao Feng, Yingshun Li, et al.. (2013). β-Adrenoceptors in the hypothalamic paraventricular nucleus modulate the baroreflex in conscious rats. Neuroscience Letters. 551. 43–46. 10 indexed citations
14.
An, Ying, et al.. (2010). Changes of some amino acid concentrations in the medial vestibular nucleus of conscious rats following acute hypotension. Neuroscience Letters. 477(1). 11–14. 9 indexed citations
15.
Yu, Bin, Pingchuan Sun, Tiehong Chen, et al.. (2006). Confinement-Induced Novel Morphologies of Block Copolymers. Physical Review Letters. 96(13). 138306–138306. 264 indexed citations
16.
Chu, Chun‐Ping, Kazuo Kato, Qinghua Jin, et al.. (2005). Enhanced cardiovascular alteration and Fos expression induced by central salt loading in a conscious rat transgenic for the metallothionein–vasopressin fusion gene. Neuroscience Research. 53(2). 147–155. 5 indexed citations
17.
Sun, Pingchuan, Yuhua Yin, Baohui Li, et al.. (2005). Simulated annealing study of gyroid formation in diblock copolymer solutions. Physical Review E. 72(6). 61408–61408. 6 indexed citations
18.
Yin, Yuhua, Pingchuan Sun, Tiehong Chen, et al.. (2004). Simulated Annealing Study of Diblock Copolymer Thin Films Confined between Two Homogeneous Surfaces. ChemPhysChem. 5(4). 540–548. 40 indexed citations
19.
Jin, Qinghua, Takato Kunitake, Chun‐Ping Chu, et al.. (2003). Possible involvement of nitric oxide in the central salt-loading-induced cardiovascular responses in conscious rats. Brain Research. 963(1-2). 224–231. 6 indexed citations
20.
Jin, Qinghua, Takato Kunitake, Kazuo Kato, et al.. (2002). Cardiovascular actions of central neuromedin U in conscious rats. Regulatory Peptides. 105(1). 29–34. 58 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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