Ming Yu

687 total citations
12 papers, 516 citations indexed

About

Ming Yu is a scholar working on Plant Science, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Ming Yu has authored 12 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Ming Yu's work include Plant nutrient uptake and metabolism (3 papers), Wheat and Barley Genetics and Pathology (2 papers) and Microtubule and mitosis dynamics (2 papers). Ming Yu is often cited by papers focused on Plant nutrient uptake and metabolism (3 papers), Wheat and Barley Genetics and Pathology (2 papers) and Microtubule and mitosis dynamics (2 papers). Ming Yu collaborates with scholars based in China, United States and Germany. Ming Yu's co-authors include Carolyn A. Moores, Roman Sakowicz, Liuling Yan, Brett F. Carver, Christophe Béraud, Ronald A. Milligan, Jun Guo, Le Luo, Guohua Xu and Genqiao Li and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Molecular Cell.

In The Last Decade

Ming Yu

12 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yu China 9 289 237 179 58 45 12 516
Liang‐Zi Zhou Germany 13 625 2.2× 554 2.3× 62 0.3× 75 1.3× 39 0.9× 16 790
Robyn Lee New Zealand 9 333 1.2× 231 1.0× 37 0.2× 23 0.4× 11 0.2× 18 469
Dae Kwan Ko United States 11 276 1.0× 216 0.9× 104 0.6× 59 1.0× 13 0.3× 19 430
Nicole Harris United States 5 196 0.7× 194 0.8× 26 0.1× 34 0.6× 34 0.8× 9 387
K. Yamada Japan 9 166 0.6× 185 0.8× 23 0.1× 96 1.7× 100 2.2× 15 417
Rainer Franzen Germany 11 458 1.6× 343 1.4× 29 0.2× 52 0.9× 34 0.8× 16 548
Rumpa Biswas Bhattacharjee Canada 8 228 0.8× 143 0.6× 15 0.1× 13 0.2× 34 0.8× 10 379
Janina Österman Finland 9 235 0.8× 168 0.7× 28 0.2× 20 0.3× 22 0.5× 10 376
Hisato Okuizumi Japan 13 170 0.6× 265 1.1× 18 0.1× 195 3.4× 38 0.8× 29 426

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

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

All Works

12 of 12 papers shown
1.
Li, Lingli, Linzhi Li, Ming Yu, et al.. (2024). Efficient control of antibiotic resistance in wastewater by UV/peracetic acid treatment: Unveiling distinct mechanisms behind the elimination of various contaminants. Chemical Engineering Journal. 499. 156125–156125. 7 indexed citations
3.
Guo, Xuan, Yuehua Wang, Jianbing Hu, et al.. (2021). Gene insertion in Saccharomyces cerevisiae using the CRISPR/Cas9 system. 3 Biotech. 11(2). 90–90. 2 indexed citations
4.
Hou, Mengmeng, et al.. (2021). Molecular Regulatory Networks for Improving Nitrogen Use Efficiency in Rice. International Journal of Molecular Sciences. 22(16). 9040–9040. 30 indexed citations
5.
Gollapudi, Sampath K., et al.. (2020). Synthetic thick filaments: A new avenue for better understanding the myosin super-relaxed state in healthy, diseased, and mavacamten-treated cardiac systems. Journal of Biological Chemistry. 296. 100114–100114. 38 indexed citations
6.
Zhang, Shunan, Yuyi Zhang, Kangning Li, et al.. (2020). Nitrogen Mediates Flowering Time and Nitrogen Use Efficiency via Floral Regulators in Rice. Current Biology. 31(4). 671–683.e5. 94 indexed citations
7.
Luo, Le, et al.. (2018). OsASN1 Plays a Critical Role in Asparagine-Dependent Rice Development. International Journal of Molecular Sciences. 20(1). 130–130. 62 indexed citations
8.
Liu, Meiyan, Ming Yu, Genqiao Li, Brett F. Carver, & Liuling Yan. (2015). Genetic characterization of aluminum tolerance in winter wheat. Molecular Breeding. 35(11). 8 indexed citations
9.
Yu, Ming, Brett F. Carver, & Liuling Yan. (2013). TamiR1123 originated from a family of miniature inverted-repeat transposable elements (MITE) including one inserted in the Vrn-A1a promoter in wheat. Plant Science. 215-216. 117–123. 25 indexed citations
10.
Li, Genqiao, Ming Yu, Tilin Fang, et al.. (2013). Vernalization requirement duration in winter wheat is controlled by TaVRNA1 at the protein level. The Plant Journal. 76(5). 742–753. 70 indexed citations
11.
Peters, Carsten, Katjuša Brejc, Lisa D. Belmont, et al.. (2010). Insight into the molecular mechanism of the multitasking kinesin‐8 motor. The EMBO Journal. 29(20). 3437–3447. 51 indexed citations
12.
Moores, Carolyn A., Ming Yu, Jun Guo, et al.. (2002). A Mechanism for Microtubule Depolymerization by KinI Kinesins. Molecular Cell. 9(4). 903–909. 127 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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