Bi Ma

1.2k citations
35 papers · 555 · h-index 15

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant-Microbe Interactions and Immunity
    • Plant Disease Resistance and Genetics

Papers in

    • Chromosomal and Genetic Variations 14
    • Plant Virus Research Studies 11
    • Plant Molecular Biology Research 8
    • Plant Disease Resistance and Genetics 8
    • Plant-Microbe Interactions and Immunity 6
    • Plant Gene Expression Analysis 8
    • Genomics and Phylogenetic Studies 7
    • Plant biochemistry and biosynthesis 5

Bi Ma

35 papers receiving 548 citations

Peers

Bi Ma
Comparison fields: 5 of 58
  • Plant Science 375
  • Biochemistry 30
  • Molecular Biology 333
  • Insect Science 47
  • Endocrinology 13
Replace Yuejian Yang with:
Yuejian Yang China
Elia Lacchini Belgium
Ting Shi China
Unchera Viboonjun Thailand
Xiangqiang Zhan China
Bi Qin China
Zhaoyu Gu China
Nicolas Bakaher Switzerland
Bi Ma relative to Yuejian Yang China Yuejian Yang's profile →
Citations per field
00.5×1.7×
Yuejian Yang · 1×
Citations per year

Countries citing papers authored by Bi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 201349
3 201442
4 201333
5 202030
6 202325
7 202123
8 201522
9 202222
10 202121
11 201620
12 201920
13 201217
14 202314
15 201614
16 202114
17 202113
18 201312
19 202012
20 201411

About Bi Ma

Bi Ma is a scholar working on Plant Science, Molecular Biology, Insect Science, Cell Biology and Organic Chemistry, having authored 35 papers that have together received 555 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (14 papers), Plant Virus Research Studies (11 papers), Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (8 papers), Plant Disease Resistance and Genetics (8 papers), Genomics and Phylogenetic Studies (7 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant biochemistry and biosynthesis (5 papers). The work is most often cited by research in Plant Science (375 citations), Biochemistry (30 citations), Molecular Biology (333 citations), Insect Science (47 citations) and Endocrinology (13 citations). Bi Ma has collaborated with scholars based in China, Australia and France. Frequent co-authors include Ningjia He, Zhonghuai Xiang, Qiwei Zeng, Yiwei Luo, Xiwu Qi, Ling Jia, Guo Chen, Lijuan Wei, Donghui Fu and Annaliese S. Mason. Their work appears in journals such as Horticulture Research, International Journal of Molecular Sciences, Database, Journal of Integrative Plant Biology and Journal of Agricultural and Food Chemistry.

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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