Baoju Wang

1.3k total citations
23 papers, 1.0k citations indexed

About

Baoju Wang is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Baoju Wang has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 6 papers in Biomedical Engineering. Recurrent topics in Baoju Wang's work include Plant Molecular Biology Research (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Plant Gene Expression Analysis (4 papers). Baoju Wang is often cited by papers focused on Plant Molecular Biology Research (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Plant Gene Expression Analysis (4 papers). Baoju Wang collaborates with scholars based in China, United States and Sweden. Baoju Wang's co-authors include Jinggui Fang, Chen Wang, Tariq Pervaiz, Zhongjie Liu, Haifeng Jia, Qiuqiang Zhan, Rui Pu, Hans Ågren, Bingru Huang and Xingyun Peng and has published in prestigious journals such as Advanced Materials, Nature Communications and Scientific Reports.

In The Last Decade

Baoju Wang

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoju Wang China 14 574 428 232 133 89 23 1.0k
Lysiane Brocard France 21 1.3k 2.3× 611 1.4× 80 0.3× 32 0.2× 26 0.3× 36 1.7k
Liang‐Jwu Chen Taiwan 17 856 1.5× 683 1.6× 91 0.4× 79 0.6× 23 0.3× 52 1.3k
Kai‐Hong Zhao China 26 655 1.1× 1.6k 3.7× 142 0.6× 74 0.6× 8 0.1× 92 1.9k
Takashi Shimada Japan 19 619 1.1× 592 1.4× 85 0.4× 69 0.5× 21 0.2× 46 1.2k
Olga Šamajová Czechia 27 1.3k 2.3× 1.1k 2.5× 27 0.1× 69 0.5× 13 0.1× 62 1.9k
Pyae Phyo United States 12 362 0.6× 227 0.5× 59 0.3× 97 0.7× 16 0.2× 14 683
Prashant Singh India 18 948 1.7× 429 1.0× 170 0.7× 35 0.3× 44 0.5× 37 1.3k
Yizhen Wan China 18 897 1.6× 498 1.2× 25 0.1× 77 0.6× 22 0.2× 60 1.3k
Anthony W. Blake United Kingdom 11 602 1.0× 484 1.1× 73 0.3× 364 2.7× 10 0.1× 11 1.2k

Countries citing papers authored by Baoju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baoju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoju Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Baoju Wang. A scholar is included among the top collaborators of Baoju Wang 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 Baoju Wang. Baoju Wang 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.
Wang, Baoju, et al.. (2025). Sidelobe-free deterministic 3D nanoscopy with λ/33 axial resolution. Light Science & Applications. 14(1). 168–168. 2 indexed citations
2.
Wang, Baoju, et al.. (2024). Improved estimation of cotton (Gossypium hirsutum L.) LAI from multispectral data using UAV point cloud data. Industrial Crops and Products. 217. 118851–118851. 6 indexed citations
3.
Zhu, Zhimin, et al.. (2023). Three-dimensional, dual-color nanoscopy enabled by migrating photon avalanches with one single low-power CW beam. Science Bulletin. 69(4). 458–465. 10 indexed citations
4.
Gong, Cheng, Peng Zhang, Wang Chen, et al.. (2023). Advances in high spatiotemporal resolution fluorescence microscopic imaging technique based on point scanning. Acta Physica Sinica. 72(20). 204201–204201.
5.
Pu, Rui, et al.. (2023). Tandem Photon Avalanches for Various Nanoscale Emitters with Optical Nonlinearity up to 41st‐Order through Interfacial Energy Transfer. Advanced Materials. 36(2). e2307848–e2307848. 15 indexed citations
6.
7.
Zhan, Qiuqiang, Haichun Liu, Baoju Wang, et al.. (2017). Achieving high-efficiency emission depletion nanoscopy by employing cross relaxation in upconversion nanoparticles. Nature Communications. 8(1). 1058–1058. 265 indexed citations
8.
Wang, Junzhong, Yana Liu, Baoju Wang, et al.. (2016). Molecular cloning, characterization and expression analysis of TGF-β and receptor genes in the woodchuck model. Gene. 595(1). 1–8. 3 indexed citations
9.
Sun, Xin, Cheng Zhang, Qian Mu, et al.. (2016). A characterization of grapevine of GRAS domain transcription factor gene family. Functional & Integrative Genomics. 16(4). 347–363. 15 indexed citations
10.
Wang, Baoju, Jian Wang, Chen Wang, et al.. (2016). Study on Expression Modes and Cleavage Role of miR156b/c/d and its Target GeneVv-SPL9During the Whole Growth Stage of Grapevine. Journal of Heredity. 107(7). 626–634. 16 indexed citations
11.
Jia, Haifeng, Songtao Jiu, Cheng Zhang, et al.. (2016). Abscisic acid and sucrose regulate tomato and strawberry fruit ripening through the abscisic acid‐stress‐ripening transcription factor. Plant Biotechnology Journal. 14(10). 2045–2065. 221 indexed citations
12.
Leng, Xiangpeng, Haifeng Jia, Xin Sun, et al.. (2015). Comparative transcriptome analysis of grapevine in response to copper stress. Scientific Reports. 5(1). 17749–17749. 101 indexed citations
13.
Wang, Baoju, Ying Wang, Yang Zhang, et al.. (2015). Genome-wide analysis of esterase-like genes in the striped rice stem borer, Chilo suppressalis. Genome. 58(6). 323–331. 6 indexed citations
14.
Zhu, Xudong, Xiangpeng Leng, Xin Sun, et al.. (2015). Discovery of Conservation and Diversification of miR171 Genes by Phylogenetic Analysis based on Global Genomes. The Plant Genome. 8(2). eplantgenome2014.10.0076–eplantgenome2014.10.0076. 39 indexed citations
15.
Ren, Guohui, Baoju Wang, Xudong Zhu, et al.. (2014). Cloning, expression, and characterization of miR058 and its target PPO during the development of grapevine berry stone. Gene. 548(2). 166–173. 23 indexed citations
16.
Wang, Baoju, Muhammad Faisal Shahzad, Zan Zhang, et al.. (2013). Genome-wide analysis reveals the expansion of Cytochrome P450 genes associated with xenobiotic metabolism in rice striped stem borer, Chilo suppressalis. Biochemical and Biophysical Research Communications. 443(2). 756–760. 41 indexed citations
17.
Wang, Jinda, Min Wu, Baoju Wang, & Zhaojun Han. (2012). Comparison of the RNA interference effects triggered by dsRNA and siRNA in Triboliumcastaneum. Pest Management Science. 69(7). 781–786. 48 indexed citations
18.
Zheng, Xusong, Yajun Yang, Hongxing Xu, et al.. (2011). Resistance Performances of Transgenic Bt Rice Lines T<SUB>2A</SUB>-1 and T1c-19 Against Cnaphalocrocis medinalis (Lepidoptera: Pyralidae). Journal of Economic Entomology. 104(5). 1730–1735. 31 indexed citations
19.
Wang, Baoju, et al.. (2007). [Expressions of phosphorylated-Smad2 and PTEN in hepatocellular carcinomas and adjacent liver tissues].. PubMed. 15(8). 567–71. 1 indexed citations
20.
Zhang, Zhengmao, et al.. (2006). Inhibition of Hepatitis B Virus Replication by pRNA-escorted siRNA. Virologica Sinica. 21(6). 599–603.

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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