Yingming Wei

419 total citations
20 papers, 300 citations indexed

About

Yingming Wei is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yingming Wei has authored 20 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yingming Wei's work include Reproductive Biology and Fertility (6 papers), Animal Genetics and Reproduction (5 papers) and Pluripotent Stem Cells Research (4 papers). Yingming Wei is often cited by papers focused on Reproductive Biology and Fertility (6 papers), Animal Genetics and Reproduction (5 papers) and Pluripotent Stem Cells Research (4 papers). Yingming Wei collaborates with scholars based in China, Ireland and United States. Yingming Wei's co-authors include Fenghua Lu, Deshun Shi, Sufang Yang, Jingwei Wei, Qingyou Liu, Kuiqing Cui, Qinyang Jiang, Yanfei Deng, Chan Luo and Jianrong Jiang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Biology of Reproduction.

In The Last Decade

Yingming Wei

18 papers receiving 291 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yingming Wei 212 160 125 28 24 20 300
Kyungjun Uh 205 1.0× 90 0.6× 138 1.1× 15 0.5× 22 0.9× 34 304
F. Pereyra-Bonnet 190 0.9× 117 0.7× 148 1.2× 39 1.4× 62 2.6× 20 307
Jacinthe Therrien 252 1.2× 172 1.1× 158 1.3× 21 0.8× 50 2.1× 17 356
Szilárd Bodó 240 1.1× 214 1.3× 91 0.7× 33 1.2× 114 4.8× 20 421
Flávia Regina Oliveira de Barros 179 0.8× 89 0.6× 58 0.5× 37 1.3× 35 1.5× 26 310
A. Mutto 243 1.1× 212 1.3× 104 0.8× 59 2.1× 150 6.3× 24 464
Tiago Henrique Camara De 232 1.1× 237 1.5× 183 1.5× 91 3.3× 122 5.1× 34 492
Zhenzhen Hou 503 2.4× 128 0.8× 121 1.0× 5 0.2× 45 1.9× 24 649
Naresh L. Selokar 467 2.2× 412 2.6× 294 2.4× 58 2.1× 57 2.4× 51 600
Misha Regouski 345 1.6× 68 0.4× 246 2.0× 20 0.7× 31 1.3× 26 470

Countries citing papers authored by Yingming Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yingming Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingming Wei

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

All Works

20 of 20 papers shown
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Zhang, Qiongwen, Lili Yang, Xiaotong Gao, et al.. (2023). Comparative and Functional Analysis of miRNAs and mRNAs Involved in Muscle Fiber Hypertrophy of Juvenile and Adult Goats. Genes. 14(2). 315–315. 2 indexed citations
4.
Pan, Yu, Chaoxia Zou, Qiang An, et al.. (2022). CircUBE2Q2 promotes differentiation of cattle muscle stem cells and is a potential regulatory molecule of skeletal muscle development. BMC Genomics. 23(1). 267–267. 12 indexed citations
5.
Pan, Yu, Yimin Zhao, Leyi Wang, et al.. (2022). HDAC11 Regulates the Proliferation of Bovine Muscle Stem Cells through the Notch Signaling Pathway and Inhibits Muscle Regeneration. Journal of Agricultural and Food Chemistry. 70(29). 9166–9178. 9 indexed citations
6.
Wang, Jinling, Chaoxia Zou, Qiang An, et al.. (2021). The Expression Profiles of mRNAs and lncRNAs in Buffalo Muscle Stem Cells Driving Myogenic Differentiation. Frontiers in Genetics. 12. 643497–643497. 6 indexed citations
7.
Zhang, Yuxue, et al.. (2021). Rapid and sensitive detection of rotavirus by surface-enhanced Raman scattering immunochromatography. Microchimica Acta. 188(1). 3–3. 19 indexed citations
8.
Gao, Xiaotong, Yuhang Jiang, Pan Peng, et al.. (2021). Population validation of reproductive gene mutation loci and association with the litter size in Nubian goat. Archives animal breeding/Archiv für Tierzucht. 64(2). 375–386. 6 indexed citations
9.
Deng, Yanfei, et al.. (2020). SQLE Promotes Differentiation and Apoptosis of Bovine Skeletal Muscle-Derived Mesenchymal Stem Cells. Cellular Reprogramming. 22(1). 22–29. 5 indexed citations
10.
Lu, Fenghua, Chan Luo, Nan Li, et al.. (2018). Efficient Generation of Transgenic Buffalos (Bubalus bubalis) by Nuclear Transfer of Fetal Fibroblasts Expressing Enhanced Green Fluorescent Protein. Scientific Reports. 8(1). 6967–6967. 21 indexed citations
11.
Liu, Xiaohua, Chan Luo, Kai Deng, et al.. (2018). Cytoplasmic volume of recipient oocytes affects the nucleus reprogramming and the developmental competence of HMC buffalo (<i>Bubalus bubalis</i>) embryos. Journal of Veterinary Medical Science. 80(8). 1291–1300. 6 indexed citations
12.
Deng, Yanfei, et al.. (2018). Isolation and characterization of buffalo (<i>bubalus bubalis</i>) amniotic mesenchymal stem cells derived from amnion from the first trimester pregnancy. Journal of Veterinary Medical Science. 80(4). 710–719. 8 indexed citations
13.
Hu, Xiongfeng, et al.. (2018). Review on the Development of Biogas Decarburization Technology. Journal of Biobased Materials and Bioenergy. 12(1). 1–10. 3 indexed citations
14.
Jiang, Jianrong, et al.. (2018). Optimization of parthenogenetic activation of rabbit oocytes and development of rabbit embryo by somatic cell nuclear transfer. Reproduction in Domestic Animals. 54(2). 258–269. 4 indexed citations
15.
Sun, Hongliang, Fenghua Lu, Peng Zhu, et al.. (2015). Effects of Scriptaid on the Histone Acetylation, DNA Methylation and Development of Buffalo Somatic Cell Nuclear Transfer Embryos. Cellular Reprogramming. 17(5). 404–414. 12 indexed citations
16.
Lu, Fenghua, et al.. (2014). Efficient generation of sFat-1 transgenic rabbits rich in n-3 polyunsaturated fatty acids by intracytoplasmic sperm injection. Reproduction Fertility and Development. 28(3). 310–318. 2 indexed citations
17.
Jiang, Qinyang, Yingming Wei, Yanna Huang, et al.. (2010). The complete mitochondrial genome and phylogenetic analysis of the Debao pony (Equus caballus). Molecular Biology Reports. 38(1). 593–599. 24 indexed citations
18.
Shi, Deshun, Fenghua Lu, Yingming Wei, et al.. (2007). Buffalos (Bubalus bubalis) Cloned by Nuclear Transfer of Somatic Cells1. Biology of Reproduction. 77(2). 285–291. 113 indexed citations
19.
Lu, Fenghua, et al.. (2005). Studies on the methods of buffalo somatic cells nuclear transfer. Xumu shouyi xuebao. 36(2). 127–132. 1 indexed citations
20.
Lu, Fenghua, Deshun Shi, Jingwei Wei, Sufang Yang, & Yingming Wei. (2005). Development of embryos reconstructed by interspecies nuclear transfer of adult fibroblasts between buffalo (Bubalus bubalis) and cattle (Bos indicus). Theriogenology. 64(6). 1309–1319. 47 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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