Fangming Mei

788 total citations · 1 hit paper
9 papers, 529 citations indexed

About

Fangming Mei is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Fangming Mei has authored 9 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 2 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Fangming Mei's work include Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (4 papers) and Wheat and Barley Genetics and Pathology (4 papers). Fangming Mei is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (4 papers) and Wheat and Barley Genetics and Pathology (4 papers). Fangming Mei collaborates with scholars based in China, Estonia and Nepal. Fangming Mei's co-authors include Hude Mao, Zhensheng Kang, Shumin Li, Xinxiu Cheng, Fangfang Li, Zhongxue Wang, Nan Chen, Bin Chen, Linying Du and Yifang Zhang and has published in prestigious journals such as The Plant Cell, The Plant Journal and Plant Cell & Environment.

In The Last Decade

Fangming Mei

9 papers receiving 515 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variation in cis-regulation of a NAC transcription factor contributes to drought tolerance in wheat

2021 154 citations Hude Mao, Shumin Li et al. Molecular Plant profile →

Peers

Fangming Mei

PS

MB

ACS

GENET

GPC

Xinxiu Cheng China

Shoucheng Chai China

Yunlu Shi China

Alicja Macko‐Podgórni Poland

Yiyong Ma China

Fuai Sun China

Namhee Jeong South Korea

M. N. Barakat Egypt

Trijntje Hughes Australia

Xinxiu Cheng China

Fangming Mei

445 ×0.9

PS

170 ×0.8

MB

62 ×1.0

ACS

53 ×0.9

GENET

7 ×0.8

GPC

Citations per year, relative to Fangming Mei Fangming Mei (= 1×) peers Xinxiu Cheng

Countries citing papers authored by Fangming Mei

Since Specialization

Citations

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

Fields of papers citing papers by Fangming Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangming Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Fangming Mei. A scholar is included among the top collaborators of Fangming Mei 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 Fangming Mei. Fangming Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Lin, Juncheng, et al.. (2023). Differential alternative polyadenylation of homoeologous genes of allohexaploid wheat ABD subgenomes during drought stress response. The Plant Journal. 114(3). 499–518. 9 indexed citations

2.

Mei, Fangming, Bin Chen, Linying Du, et al.. (2022). A gain-of-function allele of a DREB transcription factor gene ameliorates drought tolerance in wheat. The Plant Cell. 34(11). 4472–4494. 82 indexed citations

3.

Li, Shumin, Shizhou Yu, Yifang Zhang, et al.. (2022). Genome‐wide association study revealed TaHXK3‐2A as a candidate gene controlling stomatal index in wheat seedlings. Plant Cell & Environment. 45(8). 2306–2323. 15 indexed citations

4.

Mei, Fangming, Bin Chen, Fangfang Li, et al.. (2021). Overexpression of the wheat NAC transcription factor TaSNAC4-3A gene confers drought tolerance in transgenic Arabidopsis. Plant Physiology and Biochemistry. 160. 37–50. 31 indexed citations

5.

Mao, Hude, Shumin Li, Bin Chen, et al.. (2021). Variation in cis-regulation of a NAC transcription factor contributes to drought tolerance in wheat. Molecular Plant. 15(2). 276–292. 154 indexed citations breakdown →

6.

Mao, Hude, Chao Jian, Xinxiu Cheng, et al.. (2021). The wheat ABA receptor gene TaPYL1‐1B contributes to drought tolerance and grain yield by increasing water‐use efficiency. Plant Biotechnology Journal. 20(5). 846–861. 98 indexed citations

7.

Li, Fangfang, Fangming Mei, Yifang Zhang, et al.. (2020). Genome-wide analysis of the AREB/ABF gene lineage in land plants and functional analysis of TaABF3 in Arabidopsis. BMC Plant Biology. 20(1). 558–558. 24 indexed citations

8.

Li, Shumin, Nan Chen, Fangfang Li, et al.. (2020). Characterization of wheat homeodomain-leucine zipper family genes and functional analysis of TaHDZ5-6A in drought tolerance in transgenic Arabidopsis. BMC Plant Biology. 20(1). 50–50. 30 indexed citations

9.

Mao, Hude, Shumin Li, Zhongxue Wang, et al.. (2019). Regulatory changes in TaSNAC8‐6A are associated with drought tolerance in wheat seedlings. Plant Biotechnology Journal. 18(4). 1078–1092. 86 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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