Mi Ni

869 citations
28 papers · 670 · h-index 13

Impact in

    • Plant-Microbe Interactions and Immunity
    • Plant Molecular Biology Research
    • Research in Cotton Cultivation

Papers in

    • Plant-Microbe Interactions and Immunity 5
    • Plant Molecular Biology Research 3
    • Insect Resistance and Genetics 4
    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 3
    • Gut microbiota and health 3
    • Plant Gene Expression Analysis 2

Mi Ni

28 papers receiving 653 citations

Peers

Mi Ni
Comparison fields: 5 of 54
  • Plant Science 449
  • Insect Science 74
  • Cell Biology 82
  • Molecular Biology 331
  • Biotechnology 36
Replace Rajesh Patkar with:
Rajesh Patkar India
Ulrike Lipka Germany
Youzhou Liu China
Xiaofeng Su China
Hongkai Wang China
Kai Dou China
Gleb E. Aktuganov Russia
Grazia Licciardello Italy
Mariana Schuster Germany
Rong Huo China
Mi Ni relative to Rajesh Patkar India Rajesh Patkar's profile →
Citations per field
00.5×1.5×2×2.4×
Rajesh Patkar · 1×
Citations per year

Countries citing papers authored by Mi Ni

Since Specialization
Citations

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

Fields of papers citing papers by Mi Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2 2017112
3 201871
4 201570
5 201456
6 201126
7 201823
8 201821
9
Decreased expression of miR-490-3p in osteosarcoma and its clinical significance.
201717
10
An efficient and highly reproducible approach for the selection of upland transgenic cotton produced by pollen tube pathway method
201317
11 201815
12 201713
13 201813
14 201610
15 201210
16 20199
17 20199
18 20127
19 20246
20 20196

About Mi Ni

Mi Ni is a scholar working on Plant Science, Molecular Biology, Biotechnology, Microbiology and Insect Science, having authored 28 papers that have together received 670 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (5 papers), Insect Resistance and Genetics (4 papers), CRISPR and Genetic Engineering (3 papers), Plant Molecular Biology Research (3 papers), Epigenetics and DNA Methylation (3 papers), Gut microbiota and health (3 papers), Transgenic Plants and Applications (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Plant Science (449 citations), Insect Science (74 citations), Cell Biology (82 citations), Molecular Biology (331 citations) and Biotechnology (36 citations). Mi Ni has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Qiong Wu, Chuanjin Yu, Kai Dou, Xue‐De Wang, Shuna Yuan, Noreen Bibi, Kai Fan, Yaqian Li, Jie Chen and Jia Yu. Their work appears in journals such as PLoS ONE, Journal of Environmental Science and Health Part B, Microbial Cell Factories, Nature Communications and Plant Biotechnology Journal.

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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