Meng Zhao

1.5k total citations
55 papers, 962 citations indexed

About

Meng Zhao is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Meng Zhao has authored 55 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Physiology and 9 papers in Epidemiology. Recurrent topics in Meng Zhao's work include Adipose Tissue and Metabolism (9 papers), Neuroendocrine regulation and behavior (7 papers) and Hair Growth and Disorders (6 papers). Meng Zhao is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Neuroendocrine regulation and behavior (7 papers) and Hair Growth and Disorders (6 papers). Meng Zhao collaborates with scholars based in United States, China and Japan. Meng Zhao's co-authors include Hisashi Shirakawa, Shuji Kaneko, Takayuki Nakagawa, Saki Nakamura, Wendy Saltzman, Theodore Garland, Katrin J. Svensson, Yunshin Jung, Takahito Miyake and Kanako So and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Meng Zhao

51 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Zhao United States 17 289 246 180 109 99 55 962
Shen Zhang China 22 190 0.7× 669 2.7× 314 1.7× 69 0.6× 252 2.5× 66 1.9k
Isaías Glezer Brazil 20 253 0.9× 388 1.6× 129 0.7× 53 0.5× 49 0.5× 37 1.3k
Hongmei Dai China 19 68 0.2× 348 1.4× 90 0.5× 98 0.9× 70 0.7× 64 1.1k
Ting Zhou United States 19 85 0.3× 623 2.5× 213 1.2× 83 0.8× 204 2.1× 44 1.3k
Huan Cai United States 18 279 1.0× 599 2.4× 94 0.5× 42 0.4× 72 0.7× 26 1.3k
Andrea Calixto Chile 14 186 0.6× 678 2.8× 69 0.4× 33 0.3× 89 0.9× 28 1.2k
Hiromichi Yokoi Japan 18 171 0.6× 818 3.3× 422 2.3× 75 0.7× 134 1.4× 32 1.7k
Eun Jin Yang South Korea 21 215 0.7× 499 2.0× 33 0.2× 66 0.6× 165 1.7× 47 1.4k
Sunita Sharma United States 17 176 0.6× 574 2.3× 23 0.1× 175 1.6× 73 0.7× 58 1.2k
Akiko Sakata Japan 20 236 0.8× 370 1.5× 42 0.2× 46 0.4× 56 0.6× 54 1.3k

Countries citing papers authored by Meng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Meng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Zhao. A scholar is included among the top collaborators of Meng Zhao 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 Meng Zhao. Meng Zhao 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.
Li, Haijun, Lina Ma, Meng Zhao, et al.. (2025). A comparative proteomic-based study identifies essential factors involved in hair follicle growth in inner Mongolia cashmere goats. BMC Veterinary Research. 21(1). 118–118.
2.
Danneskiold‐Samsøe, Niels Banhos, Kevin M. Jude, Silas Boye Nissen, et al.. (2024). AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors. Cell Systems. 15(11). 1046–1060.e3. 11 indexed citations
3.
Zhao, Meng, et al.. (2024). Cardiac manifestations of Fabry disease in G3Stg/GlaKO and GlaKO mouse models–Translation to Fabry disease patients. PLoS ONE. 19(5). e0304415–e0304415. 5 indexed citations
4.
5.
Yerevanian, Armen, Maria Westerhoff, Margaret H. Hastings, et al.. (2023). Roles of Activin A and Gpnmb in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). Diabetes. 73(2). 260–279. 8 indexed citations
6.
Wei, Wei, Nicholas M. Riley, Xuchao Lyu, et al.. (2023). Organism-wide, cell-type-specific secretome mapping of exercise training in mice. Cell Metabolism. 35(7). 1261–1279.e11. 45 indexed citations
7.
Zhao, Meng, Lianna W. Wat, & Katrin J. Svensson. (2023). Protocol for in vivo measurement of basal and insulin-stimulated glucose uptake in mouse tissues. STAR Protocols. 4(2). 102179–102179. 1 indexed citations
8.
Zhao, Meng, Jingxin Zhou, Mingzhu Liu, et al.. (2023). Genome-wide analysis of RNA-binding proteins co-expression with alternative splicing events in mitral valve prolapse. Frontiers in Immunology. 14. 1078266–1078266.
9.
Zhao, Meng, Niels Banhos Danneskiold‐Samsøe, David E. Lee, et al.. (2022). Phosphoproteomic mapping reveals distinct signaling actions and activation of muscle protein synthesis by Isthmin-1. eLife. 11. 5 indexed citations
10.
He, Shufang, Vanessa O. Zambelli, Pritam Sinharoy, et al.. (2022). A human TRPV1 genetic variant within the channel gating domain regulates pain sensitivity in rodents. Journal of Clinical Investigation. 133(3). 16 indexed citations
11.
Hu, Hua, Meng Zhao, Jia He, et al.. (2022). Plasma miR-193b-3p Is Elevated in Type 2 Diabetes and Could Impair Glucose Metabolism. Frontiers in Endocrinology. 13. 814347–814347. 17 indexed citations
12.
Danneskiold‐Samsøe, Niels Banhos, et al.. (2022). New players of the adipose secretome: Therapeutic opportunities and challenges. Current Opinion in Pharmacology. 67. 102302–102302. 2 indexed citations
13.
Wang, Qi, Zhen‐Ao Zhao, Zhen‐Ao Zhao, et al.. (2020). Transcriptome Analysis Revealed Inflammation Is Involved in the Impairment of Human Umbilical Vein Endothelial Cells Induced by Post-hemorrhagic Shock Mesenteric Lymph. Frontiers in Immunology. 11. 1717–1717. 8 indexed citations
14.
Yang, Feng, Zhihong Liu, Meng Zhao, et al.. (2020). Skin transcriptome reveals the periodic changes in genes underlying cashmere (ground hair) follicle transition in cashmere goats. BMC Genomics. 21(1). 21 indexed citations
15.
Nguyen, Catherine T., Meng Zhao, & Wendy Saltzman. (2020). Effects of sex and age on parental motivation in adult virgin California mice. Behavioural Processes. 178. 104185–104185. 4 indexed citations
16.
Saltzman, Wendy, et al.. (2017). Paternal Care in Biparental Rodents: Intra- and Inter-individual Variation. Integrative and Comparative Biology. 57(3). 589–602. 28 indexed citations
17.
Garland, Theodore, Meng Zhao, & Wendy Saltzman. (2016). Hormones and the Evolution of Complex Traits: Insights from Artificial Selection on Behavior. Integrative and Comparative Biology. 56(2). 207–224. 62 indexed citations
18.
Yin, Tailang, et al.. (2015). Culture media influenced laboratory outcomes but not neonatal birth weight in assisted reproductive technology. Journal of Huazhong University of Science and Technology [Medical Sciences]. 35(6). 932–937. 6 indexed citations
19.
Iwaasa, A. D., et al.. (2014). Condensed tannins concentration of selected prairie legume forages as affected by phenological stages during two consecutive growth seasons in western Canada. Canadian Journal of Plant Science. 94(5). 817–826. 14 indexed citations
20.
Zhao, Meng, Saki Nakamura, Takahito Miyake, et al.. (2014). Pharmacological Characterization of Standard Analgesics on Oxaliplatin-Induced Acute Cold Hypersensitivity in Mice. Journal of Pharmacological Sciences. 124(4). 514–517. 22 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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