Minghui Jiang

1.7k total citations
37 papers, 1.4k citations indexed

About

Minghui Jiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Minghui Jiang has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Organic Chemistry. Recurrent topics in Minghui Jiang's work include Neuroscience and Neuropharmacology Research (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Kidney Stones and Urolithiasis Treatments (3 papers). Minghui Jiang is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Kidney Stones and Urolithiasis Treatments (3 papers). Minghui Jiang collaborates with scholars based in China, United States and Australia. Minghui Jiang's co-authors include John W. Swann, Karen L. Smith, Chong L. Lee, Trang T. Lam, Anthony A. Oliva, Salwa Al‐Noori, Ying Zhuo, Ruo Yuan, Yaqin Chai and Jie Wu and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Analytical Chemistry.

In The Last Decade

Minghui Jiang

33 papers receiving 1.3k citations

Peers

Minghui Jiang

CMN

NEURO

Andrew Foley Ireland

Yo Shinoda Japan

Sergei Smirnov Finland

Ken Berglund United States

Chun-Lei Zhang China

Anna‐Liisa Brownell United States

Changliang Liu China

Christopher M. Davenport United States

Hiromi Sano Japan

Dong Ho Woo South Korea

Andrew Foley Ireland

Minghui Jiang

633 ×0.9

CMN

503 ×1.0

316 ×1.0

230 ×1.3

114 ×0.8

NEURO

Citations per year, relative to Minghui Jiang Minghui Jiang (= 1×) peers Andrew Foley

Countries citing papers authored by Minghui Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Minghui Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Jiang. A scholar is included among the top collaborators of Minghui Jiang 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 Minghui Jiang. Minghui Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Chi, Wenxiu Li, Xiao Liu, et al.. (2025). Effect of AMPS-based polycarboxylate superplasticizer on early hydration of cement and its mechanism. 1(2). 135–146.

Jiang, Minghui, Yanfang Guan, Chen Duan, et al.. (2025). Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease. Nature Communications. 16(1). 3473–3473. 1 indexed citations

Peng, Bo, et al.. (2025). Cross-phenotype genome-wide association study supports shared genetic etiology between skin and gastrointestinal tract diseases. Journal of Biomedical Research. 40(2). 172–172.

Liu, Xiao, Minghui Jiang, Yue Lu, et al.. (2024). Achieving high selectivity and activity of CO2 electroreduction to formate by in-situ synthesis of single atom Pb doped Cu catalysts. Journal of Colloid and Interface Science. 665. 365–375. 11 indexed citations

Jiang, Yi, Minghui Jiang, Xuan Jiang, et al.. (2024). MethylGenotyper: Accurate Estimation of SNP Genotypes and Genetic Relatedness from DNA Methylation Data. Genomics Proteomics & Bioinformatics. 22(3). 2 indexed citations

Li, Si, et al.. (2024). Blood Calcium, Genetic Risk, and Risk of Incident Kidney Stone: A Population-Based Cohort Study. Mayo Clinic Proceedings. 99(8). 1248–1260. 2 indexed citations

Lyu, Jingjing, Minghui Jiang, Xingjie Hao, et al.. (2024). Identification of biomarkers and potential therapeutic targets for pancreatic cancer by proteomic analysis in two prospective cohorts. Cell Genomics. 4(6). 100561–100561. 1 indexed citations

Liu, Xiao, Minghui Jiang, Ning Li, et al.. (2024). Optimizing Cu doping on carbon nitrogen holly shell for enhanced selectivity towards formate in CO2 reduction. Journal of Colloid and Interface Science. 683(Pt 1). 347–357. 4 indexed citations

Wang, Ming‐Wei, et al.. (2024). Identification of CAF-related lncRNAs at the pan-cancer level represents a potential carcinogenic risk. Human Molecular Genetics. 33(12). 1064–1073. 3 indexed citations

10.

Shi, Xian, Minghui Jiang, Chaolong Wang, et al.. (2023). Association of immune cell composition with the risk factors and incidence of acute coronary syndrome. Clinical Epigenetics. 15(1). 115–115. 1 indexed citations

11.

Jiang, Minghui, et al.. (2023). Genetic and observational associations of lung function with gastrointestinal tract diseases: pleiotropic and mendelian randomization analysis. Respiratory Research. 24(1). 315–315. 3 indexed citations

12.

Hao, Xingjie, et al.. (2023). Integrative genome-wide analyses identify novel loci associated with kidney stones and provide insights into its genetic architecture. Nature Communications. 14(1). 7498–7498. 21 indexed citations

13.

Guo, Yangyang, et al.. (2023). Construction of a neural network diagnostic model for renal fibrosis and investigation of immune infiltration characteristics. Frontiers in Immunology. 14. 1183088–1183088. 5 indexed citations

14.

Guo, Yangyang, Cheng Wang, Minghui Jiang, et al.. (2020). <p>Baohuoside I via mTOR Apoptotic Signaling to Inhibit Glioma Cell Growth</p>. Cancer Management and Research. Volume 12. 11435–11444. 8 indexed citations

15.

Jiang, Minghui, et al.. (2016). Palladium catalyzed C–H bond acetoxylation: isoxazolinyl as a directing group. RSC Advances. 6(62). 56971–56976. 8 indexed citations

16.

Jiang, Minghui & John W. Swann. (2005). A role for L-type calcium channels in the maturation of parvalbumin-containing hippocampal interneurons. Neuroscience. 135(3). 839–850. 39 indexed citations

17.

Jiang, Minghui & Binhai Zhu. (2005). PROTEIN FOLDING ON THE HEXAGONAL LATTICE IN THE HP MODEL. Journal of Bioinformatics and Computational Biology. 3(1). 19–34. 20 indexed citations

18.

Jiang, Minghui, Anthony A. Oliva, Trang T. Lam, & John W. Swann. (2001). GABAergic neurons that pioneer hippocampal area CA1 of the mouse: Morphologic features and multiple fates. The Journal of Comparative Neurology. 439(2). 176–192. 22 indexed citations

19.

Swann, John W., Salwa Al‐Noori, Minghui Jiang, & Chong L. Lee. (2000). Spine loss and other dendritic abnormalities in epilepsy. Hippocampus. 10(5). 617–625. 214 indexed citations

20.

Jiang, Minghui & John W. Swann. (1997). Expression of calretinin in diverse neuronal populations during development of rat hippocampus. Neuroscience. 81(4). 1137–1154. 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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