Meng Ma

800 citations
19 papers · 406 · h-index 9

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant nutrient uptake and metabolism
    • Plant Virus Research Studies
    • Genomics and Chromatin Dynamics
    • Genomics and Phylogenetic Studies
    • Plant tissue culture and regeneration

Papers in

    • Pluripotent Stem Cells Research 2
    • Genomics and Chromatin Dynamics 2
    • Genomics and Phylogenetic Studies 2
    • Plant Molecular Biology Research 5
    • Chromosomal and Genetic Variations 3
    • Plant nutrient uptake and metabolism 2

Meng Ma

18 papers receiving 401 citations

Peers

Meng Ma
Comparison fields: 5 of 50
  • Plant Science 258
  • Molecular Biology 211
  • Genetics 50
  • Cancer Research 20
  • Biochemistry 9
Replace Chen Dor with:
Chen Dor Israel
Zhixiang Qin China
Kaori Kinoshita Japan
Yanqing Ma China
Bianca M. Schmitt United Kingdom
Eun Kyung Yoon South Korea
Ana Paço Portugal
Yu Jin China
Sreenath Shanker United States
Meng Ma relative to Chen Dor Israel Chen Dor's profile →
Citations per field
00.5×4.8×
Chen Dor · 1×
Citations per year

Countries citing papers authored by Meng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meng Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meng Ma Line = papers co-authored together Meng Ma links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2020136
2 201987
3 202052
4 200825
5 201825
6 202214
7 202213
8 201812
9 201610
10 20228
11 20237
12
[Association of SNP276 in adiponectin gene with type 2 diabetes mellitus and insulin sensitivity].
20057
13 20234
14 20182
15 20251
16 20241
17 20221
18 20241
19 20250

About Meng Ma

Meng Ma is a scholar working on Molecular Biology, Plant Science, Biochemistry, Genetics and Immunology, having authored 19 papers that have together received 406 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Chromosomal and Genetic Variations (3 papers), Pluripotent Stem Cells Research (2 papers), Plant nutrient uptake and metabolism (2 papers), Sulfur Compounds in Biology (2 papers), Genomics and Chromatin Dynamics (2 papers), Genomics and Phylogenetic Studies (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Plant Science (258 citations), Molecular Biology (211 citations), Genetics (50 citations), Cancer Research (20 citations) and Biochemistry (9 citations). Meng Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lun Zhao, Zhilin Cao, Guoliang Li, Xingwang Li, Weizhi Ouyang, Qifa Zhang, Liang Xie, Li Deng, Pengpeng Guan and Qin Xiao. Their work appears in journals such as Nature Communications, Journal of Oral and Maxillofacial Surgery, Developmental Biology, Frontiers in Plant Science and Experimental Cell Research.

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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