Meng Lin

1.4k total citations
42 papers, 1.0k citations indexed

About

Meng Lin is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Meng Lin has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 9 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Meng Lin's work include Wheat and Barley Genetics and Pathology (12 papers), Plant Molecular Biology Research (8 papers) and Genetics and Plant Breeding (8 papers). Meng Lin is often cited by papers focused on Wheat and Barley Genetics and Pathology (12 papers), Plant Molecular Biology Research (8 papers) and Genetics and Plant Breeding (8 papers). Meng Lin collaborates with scholars based in China, United States and Canada. Meng Lin's co-authors include Guihua Bai, Shubing Liu, Harold N. Trick, Jianming Yu, Guorong Zhang, Sunish K. Sehgal, Jiarui Li, Bikram S. Gill, Chengchao Shou and Jianzhi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and PLANT PHYSIOLOGY.

In The Last Decade

Meng Lin

40 papers receiving 995 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 Lin China 18 804 303 160 153 67 42 1.0k
Yanru Cui China 19 747 0.9× 239 0.8× 379 2.4× 30 0.2× 89 1.3× 53 1.1k
Kai Xiao China 26 1.6k 2.0× 532 1.8× 40 0.3× 189 1.2× 38 0.6× 105 1.8k
Hai Lan China 22 1.0k 1.3× 497 1.6× 367 2.3× 99 0.6× 38 0.6× 72 1.4k
Senthilkumar Muthusamy India 12 476 0.6× 248 0.8× 43 0.3× 96 0.6× 13 0.2× 34 751
Wei‐Yi Lin Taiwan 14 2.0k 2.5× 645 2.1× 30 0.2× 55 0.4× 61 0.9× 28 2.3k
Dengfeng Dong China 12 429 0.5× 138 0.5× 30 0.2× 32 0.2× 42 0.6× 22 592
Jinpeng Zhang China 25 1.6k 1.9× 374 1.2× 471 2.9× 175 1.1× 34 0.5× 93 1.7k
Anna M. Timofeeva Russia 14 328 0.4× 288 1.0× 38 0.2× 25 0.2× 23 0.3× 45 813
Xiaolei Ding China 13 556 0.7× 253 0.8× 50 0.3× 19 0.1× 20 0.3× 35 831
Nelson Nazzicari Italy 17 645 0.8× 140 0.5× 360 2.3× 162 1.1× 23 0.3× 51 915

Countries citing papers authored by Meng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Lin. A scholar is included among the top collaborators of Meng Lin 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 Lin. Meng Lin 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.
Chen, Yekui, et al.. (2025). Novel Venturi injector reactor design with multiple inlets in ammonia–nitrogen wastewater. Separation and Purification Technology. 363. 132062–132062. 2 indexed citations
2.
Lin, Meng, Richard Bourgault, Susanne Matschi, et al.. (2024). Integrative multiomic analysis identifies genes associated with cuticular wax biogenesis in adult maize leaves. G3 Genes Genomes Genetics. 2 indexed citations
3.
Li, Zhan, Meng Lin, Di Cao, et al.. (2024). Genome-wide characterization of pyrabactin resistance 1-like (PYL) family genes revealed AhPYL6 confer the resistance to Ralstonia solanacearum in peanut. Plant Physiology and Biochemistry. 217. 109295–109295. 3 indexed citations
4.
5.
Zhang, Chengxi, et al.. (2023). A green route of isobutane-butene alkylation catalyzed by Y zeolite modified with synergistic F-containing solution. Microporous and Mesoporous Materials. 364. 112874–112874. 3 indexed citations
6.
Xu, Na, Meng Lin, Fang Tang, et al.. (2023). Plant Spacing Effects on Stem Development and Secondary Growth in Nicotiana tabacum. Agronomy. 13(8). 2142–2142. 1 indexed citations
7.
Liu, Chunxia, Meng Lin, Fei Ni, et al.. (2022). Mapping QTL for Adult-Plant Resistance to Stripe Rust in a Chinese Wheat Landrace. International Journal of Molecular Sciences. 23(17). 9662–9662. 2 indexed citations
8.
Lin, Meng, Susanne Matschi, Guillaume P. Ramstein, et al.. (2022). Integrating GWAS and TWAS to elucidate the genetic architecture of maize leaf cuticular conductance. PLANT PHYSIOLOGY. 189(4). 2144–2158. 18 indexed citations
9.
Chen, Xi, Meng Lin, Bing He, et al.. (2022). Comprehensive Transcriptome Analysis Uncovers Hub Long Non-coding RNAs Regulating Potassium Use Efficiency in Nicotiana tabacum. Frontiers in Plant Science. 13. 777308–777308. 11 indexed citations
10.
Liu, Danyang, et al.. (2021). PseUdeep: RNA Pseudouridine Site Identification with Deep Learning Algorithm. Frontiers in Genetics. 12. 773882–773882. 11 indexed citations
11.
Lin, Meng, Susanne Matschi, Nicholas Kaczmar, et al.. (2020). Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development. G3 Genes Genomes Genetics. 10(5). 1671–1683. 13 indexed citations
12.
Liu, Shubing, Guihua Bai, Meng Lin, et al.. (2020). Identification of candidate chromosome region of Sbwm1 for Soil-borne wheat mosaic virus resistance in wheat. Scientific Reports. 10(1). 8119–8119. 12 indexed citations
13.
Chu, Qingnan, Lihong Xue, Yang Liu, et al.. (2020). Microalgae-derived hydrochar application on rice paddy soil: Higher rice yield but increased gaseous nitrogen loss. The Science of The Total Environment. 717. 137127–137127. 61 indexed citations
14.
Wang, Lidan, Yuting Wang, Rui Zhang, et al.. (2020). Polar or Charged Residues Located in Four Highly Conserved Motifs Play a Vital Role in the Function or pH Response of a UPF0118 Family Na+(Li+)/H+ Antiporter. Frontiers in Microbiology. 11. 841–841. 6 indexed citations
15.
Grover, Corrinne E., Mi‐Jeong Yoo, Meng Lin, et al.. (2019). Genetic Analysis of the Transition from Wild to Domesticated Cotton ( Gossypium hirsutum L.). G3 Genes Genomes Genetics. 10(2). 731–754. 18 indexed citations
16.
Lin, Meng, Shubing Liu, Guorong Zhang, & Guihua Bai. (2018). Effects of TaPHS1 and TaMKK3-A Genes on Wheat Pre-Harvest Sprouting Resistance. Agronomy. 8(10). 210–210. 12 indexed citations
17.
Bai, Guihua, Trevor W. Rife, Jesse Poland, et al.. (2018). QTL mapping of pre-harvest sprouting resistance in a white wheat cultivar Danby. Theoretical and Applied Genetics. 131(8). 1683–1697. 39 indexed citations
18.
Liu, Na, Guihua Bai, Meng Lin, Xiangyang Xu, & Wenming Zheng. (2017). Genome-wide Association Analysis of Powdery Mildew Resistance in U.S. Winter Wheat. Scientific Reports. 7(1). 11743–11743. 28 indexed citations
19.
Lin, Meng, Dadong Zhang, Shubing Liu, et al.. (2016). Genome-wide association analysis on pre-harvest sprouting resistance and grain color in U.S. winter wheat. BMC Genomics. 17(1). 794–794. 72 indexed citations
20.
Zhang, Xueming, Meng Lin, Bo Liu, et al.. (2015). A transposon insertion in FLOWERING LOCUS T is associated with delayed flowering in Brassica rapa. Plant Science. 241. 211–220. 44 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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