Ming‐Lei Guo

3.7k total citations
91 papers, 2.9k citations indexed

About

Ming‐Lei Guo is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming‐Lei Guo has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 32 papers in Neurology and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming‐Lei Guo's work include Neuroinflammation and Neurodegeneration Mechanisms (29 papers), Neuroscience and Neuropharmacology Research (23 papers) and HIV Research and Treatment (20 papers). Ming‐Lei Guo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (29 papers), Neuroscience and Neuropharmacology Research (23 papers) and HIV Research and Treatment (20 papers). Ming‐Lei Guo collaborates with scholars based in United States, China and India. Ming‐Lei Guo's co-authors include Shilpa Buch, Palsamy Periyasamy, Shannon Callen, Ke Liao, John Q. Wang, Lu Yang, Ernest T. Chivero, Yu Cai, Fang Niu and Eugene E. Fibuch and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ming‐Lei Guo

87 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Lei Guo United States 31 1.3k 691 574 505 421 91 2.9k
Kelly L. Jordan‐Sciutto United States 31 1.5k 1.2× 549 0.8× 470 0.8× 709 1.4× 233 0.6× 85 3.1k
Dianne Langford United States 20 785 0.6× 570 0.8× 423 0.7× 993 2.0× 218 0.5× 33 2.4k
Huangui Xiong United States 30 877 0.7× 1.1k 1.6× 609 1.1× 901 1.8× 182 0.4× 97 2.9k
Yoshitatsu Sei United States 31 1.4k 1.1× 478 0.7× 666 1.2× 232 0.5× 185 0.4× 78 3.0k
Olimpia Meucci United States 34 1.6k 1.2× 1.1k 1.6× 1.1k 2.0× 836 1.7× 205 0.5× 114 4.3k
Indrapal N. Singh United States 33 1.7k 1.4× 326 0.5× 450 0.8× 284 0.6× 448 1.1× 68 3.0k
Pamela E. Knapp United States 41 1.7k 1.3× 1.7k 2.5× 1.5k 2.6× 2.2k 4.4× 337 0.8× 120 5.0k
Nancy L. Reichenbach United States 27 737 0.6× 548 0.8× 257 0.4× 201 0.4× 162 0.4× 54 2.1k
Irena Kadiu United States 18 669 0.5× 530 0.8× 298 0.5× 327 0.6× 94 0.2× 28 1.7k
Evan B. Dreyer United States 34 2.3k 1.9× 943 1.4× 1.2k 2.1× 676 1.3× 181 0.4× 68 4.8k

Countries citing papers authored by Ming‐Lei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Lei Guo. 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 Ming‐Lei Guo. The network helps show where Ming‐Lei Guo may publish in the future.

Co-authorship network of co-authors of Ming‐Lei Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Lei Guo. A scholar is included among the top collaborators of Ming‐Lei Guo 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 Ming‐Lei Guo. Ming‐Lei Guo 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.
Guo, Ming‐Lei, et al.. (2025). Digital twin models for architectural heritage conservation. Journal of Building Engineering. 112. 113792–113792.
2.
3.
Cheng, Yan, et al.. (2024). HIV-TAT dysregulates microglial lipid metabolism through SREBP2/miR-124 axis: Implication of lipid droplet accumulation microglia in NeuroHIV. Brain Behavior and Immunity. 123. 108–122. 1 indexed citations
4.
5.
Guo, Ming‐Lei, et al.. (2023). Microglia NLRP3 Inflammasome and Neuroimmune Signaling in Substance Use Disorders. Biomolecules. 13(6). 922–922. 22 indexed citations
6.
Cheng, Yan, et al.. (2023). Cocaine Regulates NLRP3 Inflammasome Activity and CRF Signaling in a Region- and Sex-Dependent Manner in Rat Brain. Biomedicines. 11(7). 1800–1800. 1 indexed citations
7.
Cheng, Yan, et al.. (2022). Sleep Disturbance Alters Cocaine-Induced Locomotor Activity: Involvement of Striatal Neuroimmune and Dopamine Signaling. Biomedicines. 10(5). 1161–1161. 1 indexed citations
8.
Cheng, Yan, Woong‐Ki Kim, Laurie L. Wellman, Larry D. Sanford, & Ming‐Lei Guo. (2021). Short-Term Sleep Fragmentation Dysregulates Autophagy in a Brain Region-Specific Manner. Life. 11(10). 1098–1098. 17 indexed citations
9.
Chivero, Ernest T., Annadurai Thangaraj, Ashutosh Tripathi, et al.. (2021). NLRP3 Inflammasome Blockade Reduces Cocaine-Induced Microglial Activation and Neuroinflammation. Molecular Neurobiology. 58(5). 2215–2230. 27 indexed citations
10.
Chivero, Ernest T., Rizwan Ahmad, Annadurai Thangaraj, et al.. (2019). Cocaine Induces Inflammatory Gut Milieu by Compromising the Mucosal Barrier Integrity and Altering the Gut Microbiota Colonization. Scientific Reports. 9(1). 12187–12187. 50 indexed citations
11.
Leconet, Wilhem, He Liu, Ming‐Lei Guo, et al.. (2018). Anti-PSMA/CD3 Bispecific Antibody Delivery and Antitumor Activity Using a Polymeric Depot Formulation. Molecular Cancer Therapeutics. 17(9). 1927–1940. 41 indexed citations
12.
Guo, Ming‐Lei, et al.. (2018). Notch3/VEGF-A axis is involved in TAT-mediated proliferation of pulmonary artery smooth muscle cells: Implications for HIV-associated PAH. Cell Death Discovery. 4(1). 22–22. 12 indexed citations
13.
Chivero, Ernest T., Ming‐Lei Guo, Palsamy Periyasamy, et al.. (2017). HIV-1 Tat Primes and Activates Microglial NLRP3 Inflammasome-Mediated Neuroinflammation. Journal of Neuroscience. 37(13). 3599–3609. 162 indexed citations
14.
Liao, Ke, Ming‐Lei Guo, Fang Niu, et al.. (2016). Cocaine-mediated induction of microglial activation involves the ER stress-TLR2 axis. Journal of Neuroinflammation. 13(1). 33–33. 98 indexed citations
15.
Jin, Dao-Zhong, Ming‐Lei Guo, Bing Xue, et al.. (2013). Phosphorylation and Feedback Regulation of Metabotropic Glutamate Receptor 1 by Calcium/Calmodulin-Dependent Protein Kinase II. Journal of Neuroscience. 33(8). 3402–3412. 49 indexed citations
16.
Xue, Bing, M. C. Edwards, Li-Min Mao, et al.. (2013). Rapid and sustained GluA1 S845 phosphorylation in synaptic and extrasynaptic locations in the rat forebrain following amphetamine administration. Neurochemistry International. 64. 48–54. 7 indexed citations
17.
Buch, Shilpa, et al.. (2012). Cocaine and HIV-1 Interplay in CNS: Cellular and Molecular Mechanisms. Current HIV Research. 10(5). 425–428. 61 indexed citations
18.
Li, Tao, et al.. (2011). In silicoandin vitrogenotoxicity evaluation of levofloxacin n-oxide, an impurity in levofloxacin. Toxicology Mechanisms and Methods. 22(3). 225–230. 6 indexed citations
19.
Guo, Ming‐Lei, et al.. (2010). Alterations in subcellular expression of acid-sensing ion channels in the rat forebrain following chronic amphetamine administration. Neuroscience Research. 68(1). 1–8. 11 indexed citations
20.
Guo, Ming‐Lei, Jinjun Li, Dafang Wan, & Jianren Gu. (2006). KIAA0101 (OEACT-1), an expressionally down-regulated and growth-inhibitory gene in human hepatocellular carcinoma. BMC Cancer. 6(1). 109–109. 26 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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