Junjing Wu

437 total citations
26 papers, 291 citations indexed

About

Junjing Wu is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Junjing Wu has authored 26 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Molecular Biology and 8 papers in Animal Science and Zoology. Recurrent topics in Junjing Wu's work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Animal Virus Infections Studies (4 papers). Junjing Wu is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Animal Virus Infections Studies (4 papers). Junjing Wu collaborates with scholars based in China, Australia and United States. Junjing Wu's co-authors include Mu Qiao, Shuqi Mei, Xianwen Peng, Zhong Xu, Jiawei Zhou, Ao Zhou, Shujun Zhang, Guisheng Liu, Yu Zhang and Huayu Wu and has published in prestigious journals such as Molecular Cell, International Journal of Molecular Sciences and Gene.

In The Last Decade

Junjing Wu

23 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjing Wu China 11 114 96 91 85 32 26 291
Xiaoping Li China 11 131 1.1× 95 1.0× 120 1.3× 94 1.1× 9 0.3× 28 395
Kaifeng Guan China 11 162 1.4× 30 0.3× 70 0.8× 106 1.2× 24 0.8× 21 310
Alana Burrell United Kingdom 8 111 1.0× 99 1.0× 17 0.2× 30 0.4× 10 0.3× 11 301
Hongwei Xiao China 8 212 1.9× 55 0.6× 129 1.4× 55 0.6× 27 0.8× 20 304
Qinglan Yang China 10 122 1.1× 44 0.5× 25 0.3× 33 0.4× 5 0.2× 37 261
Senlin Zhu China 9 149 1.3× 19 0.2× 40 0.4× 39 0.5× 6 0.2× 14 260
Frank J. Müller Germany 6 93 0.8× 48 0.5× 82 0.9× 18 0.2× 4 0.1× 13 375
Yueyun Ding China 12 167 1.5× 74 0.8× 210 2.3× 189 2.2× 16 0.5× 44 459
Jinxiu Li China 9 203 1.8× 47 0.5× 117 1.3× 50 0.6× 20 0.6× 15 335

Countries citing papers authored by Junjing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junjing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Junjing Wu. A scholar is included among the top collaborators of Junjing Wu 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 Junjing Wu. Junjing Wu 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
1.
Zhang, Wen‐Hua, et al.. (2024). The Identification Distinct Antiviral Factors Regulated Influenza Pandemic H1N1 Infection. International Journal of Microbiology. 2024(1). 6631882–6631882. 1 indexed citations
2.
Feng, Yue, Yu Zhang, Junjing Wu, et al.. (2024). Comprehensive Analysis of Methylome and Transcriptome to Identify Potential Genes Regulating Porcine Testis Development. International Journal of Molecular Sciences. 25(16). 9105–9105. 2 indexed citations
3.
Xu, Zhong, Junjing Wu, Yujie Li, et al.. (2024). A Single-Cell Atlas of Porcine Skeletal Muscle Reveals Mechanisms That Regulate Intramuscular Adipogenesis. International Journal of Molecular Sciences. 25(23). 12935–12935. 2 indexed citations
4.
Xu, Zhong, Junjing Wu, Yu Zhang, et al.. (2024). Genome-wide detection of selection signatures in Jianli pigs reveals novel cis-regulatory haplotype in EDNRB associated with two-end black coat color. BMC Genomics. 25(1). 23–23. 4 indexed citations
5.
Li, Yujie, Ke Xu, Ao Zhou, et al.. (2024). Integrative Transcriptomics and Proteomics Analysis Reveals THRSP’s Role in Lipid Metabolism. Genes. 15(12). 1562–1562. 1 indexed citations
6.
7.
Wang, Rui, Xin Zhang, Xuliang Fan, et al.. (2023). Application of Machine Learning Techniques to Improve Multi-Radar Mosaic Precipitation Estimates in Shanghai. Atmosphere. 14(9). 1364–1364. 5 indexed citations
8.
Wu, Qianxin, Junjing Wu, Xi Chen, et al.. (2023). Massively parallel characterization of CRISPR activator efficacy in human induced pluripotent stem cells and neurons. Molecular Cell. 83(7). 1125–1139.e8. 17 indexed citations
9.
Xu, Zhong, Junjing Wu, Jiawei Zhou, et al.. (2022). Integration of ATAC-seq and RNA-seq analysis identifies key genes affecting intramuscular fat content in pigs. Frontiers in Nutrition. 9. 1016956–1016956. 27 indexed citations
10.
Zhou, Jiawei, Yu Zhang, Junjing Wu, et al.. (2021). Proteomic and lipidomic analyses reveal saturated fatty acids, phosphatidylinositol, phosphatidylserine, and associated proteins contributing to intramuscular fat deposition. Journal of Proteomics. 241. 104235–104235. 51 indexed citations
11.
Xu, Zhong, Shuqi Mei, Jiawei Zhou, et al.. (2021). Genome-Wide Assessment of Runs of Homozygosity and Estimates of Genomic Inbreeding in a Chinese Composite Pig Breed. Frontiers in Genetics. 12. 720081–720081. 20 indexed citations
12.
Walk, C.L., et al.. (2021). Determination of the standardized ileal digestible calcium requirement of male Arbor Acres Plus broilers from hatch to day 10 post-hatch. Poultry Science. 100(9). 101364–101364. 14 indexed citations
13.
Wu, Junjing, Mu Qiao, Xianwen Peng, et al.. (2019). MicroRNA transcriptome analysis of poly I:C-stimulated and PRRSV-infected porcine alveolar macrophages. Journal of Applied Genetics. 60(3-4). 375–383. 9 indexed citations
14.
Wu, Junjing, Xianwen Peng, Mu Qiao, et al.. (2019). Genome-wide analysis of long noncoding RNA and mRNA profiles in PRRSV-infected porcine alveolar macrophages. Genomics. 112(2). 1879–1888. 12 indexed citations
15.
Qiao, Mu, Huayu Wu, Fengwei Zhang, et al.. (2016). Polymorphisms in PEG10 and PPP1R9A genes are associated with porcine carcass and meat quality traits. Animal Genetics. 47(2). 270–270. 3 indexed citations
16.
Qiao, Mu, Jingshu Huang, Huayu Wu, et al.. (2014). Molecular characterization, transcriptional regulation and association analysis with carcass traits of porcine TCAP gene. Gene. 538(2). 273–279. 6 indexed citations
17.
Wu, Junjing, Xianwen Peng, Ao Zhou, et al.. (2014). MiR-506 inhibits PRRSV replication in MARC-145 cells via CD151. Molecular and Cellular Biochemistry. 394(1-2). 275–281. 37 indexed citations
18.
Zhou, Ao, Shuaifeng Li, Junjing Wu, Faheem Ahmed Khan, & Shujun Zhang. (2014). Interplay between microRNAs and host pathogen recognition receptors (PRRs) signaling pathways in response to viral infection. Virus Research. 184. 1–6. 20 indexed citations
19.
Wu, Huayu, Mu Qiao, Xianwen Peng, et al.. (2013). Molecular Characterization, Expression Patterns, and Association Analysis with Carcass Traits of Porcine USF1 Gene. Applied Biochemistry and Biotechnology. 170(6). 1310–1319. 10 indexed citations
20.
Chang, Ai Min, Takamoto Ohse, Ron Krofft, et al.. (2011). Albumin-induced apoptosis of glomerular parietal epithelial cells is modulated by extracellular signal-regulated kinase 1/2. Nephrology Dialysis Transplantation. 27(4). 1330–1343. 29 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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