Mi Ni

819 total citations
25 papers, 486 citations indexed

About

Mi Ni is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Mi Ni has authored 25 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Mi Ni's work include Plant-Microbe Interactions and Immunity (5 papers), Plant Molecular Biology Research (3 papers) and Insect Resistance and Genetics (3 papers). Mi Ni is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Plant Molecular Biology Research (3 papers) and Insect Resistance and Genetics (3 papers). Mi Ni collaborates with scholars based in China, United States and Poland. Mi Ni's co-authors include Qiong Wu, Chuanjin Yu, Kai Dou, Noreen Bibi, Xue‐De Wang, Kai Fan, Yaqian Li, Jie Chen, Ruiyan Sun and Jun Tang and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Methods.

In The Last Decade

Mi Ni

24 papers receiving 477 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mi Ni China	11	362	217	79	36	29	25	486
Shu Zhang China	11	239 0.7×	150 0.7×	49 0.6×	35 1.0×	41 1.4×	35	432
Xianling Ji China	16	533 1.5×	195 0.9×	59 0.7×	21 0.6×	30 1.0×	28	625
Yingping Gai China	17	561 1.5×	218 1.0×	57 0.7×	21 0.6×	29 1.0×	27	658
Rong Huo China	8	428 1.2×	194 0.9×	121 1.5×	42 1.2×	38 1.3×	9	567
Huiming Guo China	14	457 1.3×	327 1.5×	58 0.7×	23 0.6×	16 0.6×	38	579
Weijie He China	12	577 1.6×	201 0.9×	195 2.5×	38 1.1×	39 1.3×	29	738
Heshmatollah Rahimian Iran	11	395 1.1×	120 0.6×	132 1.7×	10 0.3×	34 1.2×	33	482
Kai Dou China	14	493 1.4×	187 0.9×	220 2.8×	67 1.9×	45 1.6×	22	679
Behzad Hajieghrari Iran	10	255 0.7×	98 0.5×	80 1.0×	16 0.4×	8 0.3×	30	334
Thomas Oberhänsli Switzerland	10	337 0.9×	123 0.6×	97 1.2×	16 0.4×	8 0.3×	25	430

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-authorship network of co-authors of Mi Ni

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

All Works

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20 of 20 papers shown

Tian, Yongqing, et al.. (2025). Surface display of eugenol oxidase and dioxygenase complex as a sustainable biocatalyst for efficient bioconversion of lignin-derived 4-n-propylguaiacol to vanillin. Microbial Cell Factories. 24(1). 54–54.

Rechkoblit, Olga, Daniela Sciaky, Mi Ni, et al.. (2025). Mechanism of DNA degradation by CBASS Cap5 endonuclease immune effector. Nature Communications. 16(1). 5243–5243. 1 indexed citations

Kong, Yimeng, Yu Fan, Mi Ni, et al.. (2024). mEnrich-seq: methylation-guided enrichment sequencing of bacterial taxa of interest from microbiome. Nature Methods. 21(2). 236–246. 3 indexed citations

Kottur, Jithesh, Mi Ni, Rikhia Ghosh, et al.. (2024). Burkholderia cenocepacia epigenetic regulator M.BceJIV simultaneously engages two DNA recognition sequences for methylation. Nature Communications. 15(1). 7839–7839. 2 indexed citations

Ni, Mi, Qiong Wu, Hongli Wang, et al.. (2019). Identification of a novel strain, Streptomyces blastmyceticus JZB130180, and evaluation of its biocontrol efficacy against Monilinia fructicola. Journal of Zhejiang University SCIENCE B. 20(1). 84–94. 4 indexed citations

Wang, Xiaofang, Yan Dai, Xiaoli Wei, et al.. (2019). Expressing Double-Stranded RNAs of Insect Hormone-Related Genes Enhances Baculovirus Insecticidal Activity. International Journal of Molecular Sciences. 20(2). 419–419. 5 indexed citations

Wu, Qiong, et al.. (2018). Omics for understanding the tolerant mechanism of Trichoderma asperellum TJ01 to organophosphorus pesticide dichlorvos. BMC Genomics. 19(1). 596–596. 19 indexed citations

Wu, Qiong, Mi Ni, Kai Dou, et al.. (2018). Co-culture of Bacillus amyloliquefaciens ACCC11060 and Trichoderma asperellum GDFS1009 enhanced pathogen-inhibition and amino acid yield. Microbial Cell Factories. 17(1). 155–155. 60 indexed citations

Wu, Qiong, Caige Lu, Mi Ni, et al.. (2018). Streptomyces lydicus A01 affects soil microbial diversity, improving growth and resilience in tomato. Journal of Integrative Plant Biology. 61(2). 182–196. 10 indexed citations

10.

Wu, Qiong, Ruiyan Sun, Mi Ni, et al.. (2017). Identification of a novel fungus, Trichoderma asperellum GDFS1009, and comprehensive evaluation of its biocontrol efficacy. PLoS ONE. 12(6). e0179957–e0179957. 122 indexed citations

11.

Ding, Liping, Yajuan Chen, Xiaoli Wei, et al.. (2017). Laboratory evaluation of transgenic Populus davidiana×Populus bolleana expressing Cry1Ac + SCK, Cry1Ah3, and Cry9Aa3 genes against gypsy moth and fall webworm. PLoS ONE. 12(6). e0178754–e0178754. 12 indexed citations

12.

Tang, Bo, et al.. (2017). Decreased expression of miR-490-3p in osteosarcoma and its clinical significance.. PubMed. 21(2). 246–251. 17 indexed citations

13.

Feng, Li, Hao Shen, Ming Wang, et al.. (2016). A synthetic antimicrobial peptide BTD-S expressed in Arabidopsis thaliana confers enhanced resistance to Verticillium dahliae. Molecular Genetics and Genomics. 291(4). 1647–1661. 9 indexed citations

14.

Fan, Kai, Noreen Bibi, Susheng Gan, et al.. (2015). A novel NAP member GhNAP is involved in leaf senescence inGossypium hirsutum. Journal of Experimental Botany. 66(15). 4669–4682. 64 indexed citations

15.

Fan, Kai, Ming Wang, Ying Miao, et al.. (2014). Molecular Evolution and Expansion Analysis of the NAC Transcription Factor in Zea mays. PLoS ONE. 9(11). e111837–e111837. 53 indexed citations

16.

Bibi, Noreen, Kai Fan, Mi Ni, et al.. (2013). An efficient and highly reproducible approach for the selection of upland transgenic cotton produced by pollen tube pathway method. Australian Journal of Crop Science. 7(11). 1714–1722. 14 indexed citations

17.

Ni, Mi, Yijing Zhao, Noreen Bibi, et al.. (2012). A non-cyclic baboon θ-defensin derivative exhibiting antimicrobial activity against the phytopathogen Verticillium dahliae. Applied Microbiology and Biotechnology. 97(5). 2043–2052. 7 indexed citations

18.

Ni, Mi, et al.. (2011). Regulation of cotton fiber elongation by xyloglucan endotransglycosylase/hydrolase genes. Genetics and Molecular Research. 10(4). 3771–3782. 24 indexed citations

19.

Ni, Mi, et al.. (2010). Relationship between fiber macroelement content and fiber quality in colored cotton.. Zhongguo nongye Kexue. 43(20). 4169–4175. 2 indexed citations

20.

Zhang, Haiping, et al.. (2008). Expression of alfalfa antifungal peptide gene and enhance of resistance toVerticillium dahliaein upland cotton. Acta Agriculturae Scandinavica Section B - Soil & Plant Science. 60(1). 95–100. 3 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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