Meng Yao

3.2k total citations
81 papers, 2.1k citations indexed

About

Meng Yao is a scholar working on Molecular Biology, Ecology and Social Psychology. According to data from OpenAlex, Meng Yao has authored 81 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 36 papers in Ecology and 13 papers in Social Psychology. Recurrent topics in Meng Yao's work include Environmental DNA in Biodiversity Studies (25 papers), Identification and Quantification in Food (17 papers) and Microbial Community Ecology and Physiology (16 papers). Meng Yao is often cited by papers focused on Environmental DNA in Biodiversity Studies (25 papers), Identification and Quantification in Food (17 papers) and Microbial Community Ecology and Physiology (16 papers). Meng Yao collaborates with scholars based in China, United States and South Africa. Meng Yao's co-authors include Jindong Zhao, Shan Zhang, Robert J. Denver, Ching-Ho Yao, Qi Lu, Rosemary Sweeney, Liang Chen, Xinning Shao, Charles F. Austerberry and Sheng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Meng Yao

76 papers receiving 2.1k citations

Peers

Meng Yao

ECOLO

GENET

NLC

Francisco Ramı́rez Spain

Michaël Beaulieu Germany

Antoine Stier France

Luis Vargas‐Chacoff Chile

Md Saydur Rahman United States

Kristine L. Metzger United States

Christopher B. Daniels Australia

Wendy R. Hood United States

Bodil Schmidt‐Nielsen United States

Michael R. Vaughan United States

Francisco Ramı́rez Spain

Meng Yao

265 ×0.2

1.5k ×1.3

ECOLO

143 ×0.7

GENET

230 ×1.3

NLC

20 ×0.1

Citations per year, relative to Meng Yao Meng Yao (= 1×) peers Francisco Ramı́rez

Countries citing papers authored by Meng Yao

Since Specialization

Citations

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

Fields of papers citing papers by Meng Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Yao. A scholar is included among the top collaborators of Meng Yao 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 Yao. Meng Yao 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

Yao, Meng, et al.. (2025). Robust passive sampling of airborne environmental DNA to monitor plants and animals. Methods in Ecology and Evolution. 16(9). 2118–2130.

Li, Sheng, et al.. (2025). Advancing aquatic biodiversity assessments of invertebrates using eDNA metabarcoding: A systematic evaluation of primers for marine and freshwater communities. Methods in Ecology and Evolution. 16(10). 2408–2430. 1 indexed citations

Yao, Meng, Jian Zhou, Chuan Gao, et al.. (2025). Trained Immunity in Health and Disease. MedComm. 6(11). e70461–e70461.

Yin, Lanlan, et al.. (2025). Comprehensive analysis of DNA methylation patterns in recurrent miscarriage: imprinted/non-imprinted genes and their regulation across sperm and fetal-maternal tissues. PeerJ. 13. e20125–e20125.

Luo, Ya‐Wei, et al.. (2024). Angling and trolling for eDNA: A novel and effective approach for passive eDNA capture in natural waters. Environment International. 194. 109175–109175. 5 indexed citations

Li, Sheng, et al.. (2024). Passive eDNA sampling facilitates biodiversity monitoring and rare species detection. Environment International. 187. 108706–108706. 29 indexed citations

Zhang, Shan, Jindong Zhao, & Meng Yao. (2023). Urban landscape-level biodiversity assessments of aquatic and terrestrial vertebrates by environmental DNA metabarcoding. Journal of Environmental Management. 340. 117971–117971. 17 indexed citations

Lu, Qi, C. H. Cheng, Lingyun Xiao, et al.. (2023). Food webs reveal coexistence mechanisms and community organization in carnivores. Current Biology. 33(4). 647–659.e5. 29 indexed citations

Zhang, Shan, Yonghong Bi, Jindong Zhao, & Meng Yao. (2023). To the north: eDNA tracing of the seasonal and spatial dynamics of fish assemblages along the world's largest water diversion project. Journal of Environmental Management. 331. 117217–117217. 13 indexed citations

10.

Zhang, Shan, Meixi Lin, Jiawei Liu, et al.. (2022). A centenary tale: population genetic insights into the introduction history of the oriental fire-bellied toad (Bombina orientalis) in Beijing. SHILAP Revista de lepidopterología. 22(1). 117–117. 1 indexed citations

11.

Zhang, Shan, Jindong Zhao, & Meng Yao. (2020). A comprehensive and comparative evaluation of primers for metabarcoding eDNA from fish. Methods in Ecology and Evolution. 11(12). 1609–1625. 176 indexed citations

12.

Yao, Meng, et al.. (2019). Lunar surface sampling point selection for uneven terrain. 39(2). 41. 2 indexed citations

13.

Shao, Xinning, et al.. (2019). Fast surveys and molecular diet analysis of carnivores based on fecal DNA and metabarcoding. Biodiversity Science. 27(5). 543–556. 24 indexed citations

14.

Zhang, Rui, et al.. (2017). Exogenous spermine preserves mitochondrial bioenergetics via regulating Src kinase signaling in the spinal cord. Molecular Medicine Reports. 16(3). 3619–3626. 7 indexed citations

15.

Mu, Shuo, Hu Zhang, Jian Hu, et al.. (2017). Analytical and clinical validation of a next-generation sequencing-based circulating tumor DNA (ctDNA) assay assures its clinical application. Annals of Oncology. 28. v450–v450. 3 indexed citations

16.

Wang, Dajun, Hongliang Bu, Xinning Shao, et al.. (2017). Molecular dietary analysis of two sympatric felids in the Mountains of Southwest China biodiversity hotspot and conservation implications. Scientific Reports. 7(1). 41909–41909. 55 indexed citations

17.

Chen, Rui, Daming Dong, Yansong Wang, et al.. (2014). Serum fatty acid profiles and potential biomarkers of ankylosing spondylitis determined by gas chromatography–mass spectrometry and multivariate statistical analysis. Biomedical Chromatography. 29(4). 604–611. 27 indexed citations

18.

Yao, Meng, Fang Hu, & Robert J. Denver. (2008). Distribution and corticosteroid regulation of glucocorticoid receptor in the brain of Xenopus laevis. The Journal of Comparative Neurology. 508(6). 967–982. 35 indexed citations

19.

Yao, Meng, et al.. (2004). Distribution and Acute Stressor‐Induced Activation of Corticotrophin‐Releasing Hormone Neurones in the Central Nervous System of Xenopus laevis. Journal of Neuroendocrinology. 16(11). 880–893. 56 indexed citations

20.

Yao, Meng, et al.. (1992). Short inverted repeats at a free end signal large palindromic DNA formation in Tetrahymena. Trends in Cell Biology. 2(2). 40–40. 2 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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