Yue Ma

4.3k citations
196 papers · 3.1k · h-index 29

Impact in

  • Endocrinology top 0.5%
    • Vibrio bacteria research studies
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Chromosomal and Genetic Variations

Papers in

    • Plant Gene Expression Analysis 15
    • Bacterial biofilms and quorum sensing 12
    • Genomics and Phylogenetic Studies 11
    • Plant-Microbe Interactions and Immunity 13
    • Plant Molecular Biology Research 13

Yue Ma

187 papers receiving 3.0k citations

Peers

Yue Ma
Comparison fields: 5 of 146
  • Endocrinology 522
  • Plant Science 1.2k
  • Molecular Biology 1.6k
  • Immunology 458
  • Molecular Medicine 60
Replace David I. Hurwitz with:
David I. Hurwitz United States
Min He China
Konrad Paszkiewicz United Kingdom
Shengting Li China
Min Yu China
Jeff H. Chang United States
Hiroaki Kasai Japan
Robert E. Levin United States
Nicola Vitulo Italy
Ana Marcu Germany
Yue Ma relative to David I. Hurwitz United States David I. Hurwitz's profile →
Citations per field
00.5×1.5×2.0×
David I. Hurwitz · 1×
Citations per year

Countries citing papers authored by Yue Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yue Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yue 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 Yue Ma Line = papers co-authored together Yue Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020175
2 2013170
3 201685
4 201875
5 201866
6 200865
7 200765
8 202065
9 201763
10 202262
11 201758
12 200858
13 201554
14 201851
15 201950
16 201548
17 202247
18 200843
19 200741
20 201841

About Yue Ma

Yue Ma is a scholar working on Molecular Biology, Plant Science, Endocrinology, Genetics and Immunology, having authored 196 papers that have together received 3.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (31 papers), Aquaculture disease management and microbiota (27 papers), Plant Gene Expression Analysis (15 papers), Plant-Microbe Interactions and Immunity (13 papers), Plant Molecular Biology Research (13 papers), Bacterial biofilms and quorum sensing (12 papers), Genomics and Phylogenetic Studies (11 papers) and Bacterial Genetics and Biotechnology (10 papers). The work is most often cited by research in Endocrinology (522 citations), Plant Science (1.2k citations), Molecular Biology (1.6k citations), Immunology (458 citations) and Molecular Medicine (60 citations). Yue Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhihong Zhang, Qiyao Wang, Yuanxing Zhang, Hongyan Dai, Feng Zhang, Hao Xue, Qin Liu, Feng Wang, He Li and Yuanxing Zhang. Their work appears in journals such as Microbiological Research, Scientia Horticulturae, Scientific Reports, Plant Biotechnology Journal and Applied and Environmental Microbiology.

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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