Min Jian

41.1k total citations · 2 hit papers
21 papers, 1.6k citations indexed

About

Min Jian is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Min Jian has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Epidemiology. Recurrent topics in Min Jian's work include Neuroscience and Neuropharmacology Research (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Min Jian is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Min Jian collaborates with scholars based in China, Hong Kong and United States. Min Jian's co-authors include Xun Xu, Guohua Yang, Samuel S. M. Sun, Guihua Shao, Hon‐Ming Lam, Gengyun Zhang, Jun Wang, Jun Li, Weiming He and Nan Qin and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Min Jian

19 papers receiving 1.6k citations

Hit Papers

Resequencing of 31 wild and cultivated soybean genomes id... 2010 2026 2015 2020 2010 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Jian China 13 848 425 244 179 177 21 1.6k
Donald A. Bruun United States 27 733 0.9× 756 1.8× 179 0.7× 109 0.6× 441 2.5× 61 2.1k
Jiandong Sun China 17 149 0.2× 590 1.4× 257 1.1× 121 0.7× 284 1.6× 35 1.2k
Bin Tu China 20 655 0.8× 474 1.1× 243 1.0× 37 0.2× 269 1.5× 59 1.4k
Suchitra Joshi United States 24 460 0.5× 722 1.7× 254 1.0× 103 0.6× 711 4.0× 52 1.8k
Fang Wu China 24 363 0.4× 648 1.5× 35 0.1× 113 0.6× 578 3.3× 66 1.6k
Lingling Shi China 18 147 0.2× 481 1.1× 145 0.6× 68 0.4× 117 0.7× 58 974
Junli Zhou China 18 1.5k 1.8× 1.2k 2.8× 133 0.5× 80 0.4× 328 1.9× 41 2.3k
Shlomit Dachir Israel 21 391 0.5× 203 0.5× 72 0.3× 68 0.4× 185 1.0× 55 1.2k
François Tremblay Canada 23 194 0.2× 1.1k 2.6× 80 0.3× 97 0.5× 551 3.1× 66 2.0k

Countries citing papers authored by Min Jian

Since Specialization
Citations

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

Fields of papers citing papers by Min Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jian

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jian. A scholar is included among the top collaborators of Min Jian 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 Min Jian. Min Jian 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.
Niu, Yixuan, et al.. (2025). Relationship between MTHFR, MTRR gene polymorphisms and H-type hypertension: a systematic review and meta-analysis. Annals of Human Biology. 52(1). 2486165–2486165.
2.
Jian, Min, Yuhua Wang, Haijun Zhang, Yao Guo, & Yinghui Xue. (2025). Lithium storage properties of MOF-on-MOF derived In2O3/Co3O4 heterojunction with ‘‘chocolate-bar’’ structure. Composites Part B Engineering. 306. 112833–112833. 4 indexed citations
3.
Ng, Roy Chun-Laam, Min Jian, Jason Shing-Cheong Kwan, et al.. (2024). Liver-specific adiponectin gene therapy suppresses microglial NLRP3-inflammasome activation for treating Alzheimer’s disease. Journal of Neuroinflammation. 21(1). 77–77. 16 indexed citations
4.
Long, Yahui, Kok Siong Ang, Raman Sethi, et al.. (2024). Deciphering spatial domains from spatial multi-omics with SpatialGlue. Nature Methods. 21(9). 1658–1667. 58 indexed citations breakdown →
7.
Liu, Xiaoxing, Xin Li, Tangsheng Lu, et al.. (2022). Novel role of AMPK in cocaine reinforcement via regulating CRTC1. Translational Psychiatry. 12(1). 530–530. 2 indexed citations
8.
Shan, Ying, Yucong Zhang, Yanping Zhao, et al.. (2022). Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM). Frontiers in Cardiovascular Medicine. 9. 967097–967097. 2 indexed citations
9.
Ng, Roy Chun-Laam, Min Jian, Jason Shing-Cheong Kwan, et al.. (2020). Chronic oral administration of adipoRon reverses cognitive impairments and ameliorates neuropathology in an Alzheimer’s disease mouse model. Molecular Psychiatry. 26(10). 5669–5689. 66 indexed citations
10.
Ng, Roy Chun-Laam, et al.. (2020). Small molecule of adiponectin receptor agonist-AdipoRon-for Alzheimer disease: abridged secondary publication.. PubMed. 26 Suppl 7(6). 29–32. 1 indexed citations
11.
Ng, Roy Chun-Laam, et al.. (2020). Adiponectin gene therapy for Alzheimer disease in a mouse model: abridged secondary publication.. PubMed. 26 Suppl 8(6). 27–33.
12.
Jian, Min, et al.. (2019). Adiponectin suppresses amyloid-β oligomer (AβO)-induced inflammatory response of microglia via AdipoR1-AMPK-NF-κB signaling pathway. Journal of Neuroinflammation. 16(1). 110–110. 131 indexed citations
13.
Gao, Xuejiao, Kai Yuan, Lu Cao, et al.. (2017). AMPK signaling in the nucleus accumbens core mediates cue-induced reinstatement of cocaine seeking. Scientific Reports. 7(1). 1038–1038. 17 indexed citations
14.
Ng, Roy Chun-Laam, Min Jian, Jason Shing-Cheong Kwan, et al.. (2016). Chronic adiponectin deficiency leads to Alzheimer’s disease-like cognitive impairments and pathologies through AMPK inactivation and cerebral insulin resistance in aged mice. Molecular Neurodegeneration. 11(1). 71–71. 145 indexed citations
15.
Luo, Yixiao, Yan-Xue Xue, Jianfeng Liu, et al.. (2015). A novel UCS memory retrieval-extinction procedure to inhibit relapse to drug seeking. Nature Communications. 6(1). 7675–7675. 95 indexed citations
16.
Han, Ying, Yixiao Luo, Jia Sun, et al.. (2015). AMPK Signaling in the Dorsal Hippocampus Negatively Regulates Contextual Fear Memory Formation. Neuropsychopharmacology. 41(7). 1849–1864. 40 indexed citations
17.
Jian, Min, Yanxin Luo, Ying Xue, et al.. (2014). eIF2  Dephosphorylation in Basolateral Amygdala Mediates Reconsolidation of Drug Memory. Journal of Neuroscience. 34(30). 10010–10021. 47 indexed citations
18.
Liu, Jianfeng, Qin Fang, Liyan Zhao, et al.. (2013). Stress within a Restricted Time Window Selectively Affects the Persistence of Long-Term Memory. PLoS ONE. 8(3). e59075–e59075. 33 indexed citations
19.
Lam, Hon‐Ming, Xun Xu, Xin Liu, et al.. (2010). Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nature Genetics. 42(12). 1053–1059. 769 indexed citations breakdown →
20.
Zheng, Jun, Junjie Fu, Mingyue Gou, et al.. (2009). Genome-wide transcriptome analysis of two maize inbred lines under drought stress. Plant Molecular Biology. 72(4-5). 407–421. 163 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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