Yejun Wang

3.9k total citations
113 papers, 2.7k citations indexed

About

Yejun Wang is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Yejun Wang has authored 113 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 19 papers in Genetics and 14 papers in Ecology. Recurrent topics in Yejun Wang's work include Genomics and Phylogenetic Studies (14 papers), Vibrio bacteria research studies (13 papers) and RNA modifications and cancer (9 papers). Yejun Wang is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Vibrio bacteria research studies (13 papers) and RNA modifications and cancer (9 papers). Yejun Wang collaborates with scholars based in China, Canada and Hong Kong. Yejun Wang's co-authors include Dianjing Guo, Ming‐an Sun, G. V. Shivashankar, Aaron P. White, Wei Wang, Yan Qi, Qing Zhang, Hongxia Bao, Yueming Hu and Caroline Uhler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yejun Wang

108 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yejun Wang China 31 1.7k 404 305 268 268 113 2.7k
Bin Hu China 32 1.7k 1.0× 193 0.5× 429 1.4× 239 0.9× 314 1.2× 148 3.3k
John Braisted United States 18 1.7k 1.0× 437 1.1× 257 0.8× 113 0.4× 234 0.9× 40 2.8k
Wei-Sheng Wu Taiwan 26 1.7k 1.0× 222 0.5× 347 1.1× 77 0.3× 243 0.9× 108 2.6k
Martin Čech Czechia 6 2.4k 1.4× 580 1.4× 261 0.9× 155 0.6× 438 1.6× 18 4.0k
Tobias Ternent United Kingdom 8 2.6k 1.5× 348 0.9× 241 0.8× 359 1.3× 323 1.2× 9 3.9k
Noemí del‐Toro United Kingdom 13 2.5k 1.5× 309 0.8× 209 0.7× 327 1.2× 309 1.2× 17 3.7k
Heng Zhang China 29 1.5k 0.9× 667 1.7× 276 0.9× 128 0.5× 166 0.6× 107 2.9k
Gerhard Mayer Germany 12 2.4k 1.4× 290 0.7× 190 0.6× 291 1.1× 268 1.0× 15 3.5k
Gordon Chua Canada 20 2.2k 1.3× 278 0.7× 398 1.3× 169 0.6× 329 1.2× 38 2.7k

Countries citing papers authored by Yejun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yejun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yejun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yejun Wang. A scholar is included among the top collaborators of Yejun 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 Yejun Wang. Yejun 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.
Zhang, Tingting, Xue Xiao, Yejun Wang, et al.. (2025). CRISPRi screen identifies FprB as a synergistic target for gallium therapy in Pseudomonas aeruginosa. Nature Communications. 16(1). 5870–5870.
2.
Yu, M. Y., et al.. (2025). A systematic survey of type I secretion systems and their substrate proteins in Salmonella. Virulence. 16(1). 2533414–2533414.
3.
Zhang, Ruonan, Ke Yan, Li Huang, et al.. (2024). Identification of neural alterations in patients with Crohn’s disease with a novel multiparametric brain MRI-based radiomics model. Insights into Imaging. 15(1). 289–289. 1 indexed citations
4.
Li, Yuzhuo, et al.. (2023). Regulation of the three-dimensional chromatin organization by transposable elements in pig spleen. Computational and Structural Biotechnology Journal. 21. 4580–4588. 1 indexed citations
5.
Chen, Xiongbin, Zewei Chen, Jinjin Wu, et al.. (2022). Mosaic Evolution of Beta-Barrel-Porin-Encoding Genes in Escherichia coli. Applied and Environmental Microbiology. 88(7). e0006022–e0006022. 6 indexed citations
6.
Sun, Ming‐an, Gernot Wolf, Yejun Wang, et al.. (2021). Endogenous Retroviruses Drive Lineage-Specific Regulatory Evolution across Primate and Rodent Placentae. Molecular Biology and Evolution. 38(11). 4992–5004. 30 indexed citations
7.
Wang, Zhongyuan, Liang Zhou, Yejun Wang, et al.. (2021). The CK1δ/ε-AES axis regulates tumorigenesis and metastasis in colorectal cancer. Theranostics. 11(9). 4421–4435. 24 indexed citations
8.
Hu, Yueming, Jue Wang, Yaoguang Zhang, et al.. (2019). LUADpp: an effective prediction model on prognosis of lung adenocarcinomas based on somatic mutational features. BMC Cancer. 19(1). 263–263. 16 indexed citations
9.
Wang, Yejun, Xiongbin Chen, Yueming Hu, et al.. (2018). Evolution and Sequence Diversity of FhuA in Salmonella and Escherichia. Infection and Immunity. 86(11). 14 indexed citations
10.
Zhang, Shengping, Yafei Xu, Fei Yang, et al.. (2017). Improvement in prediction of prostate cancer prognosis with somatic mutational signatures. Journal of Cancer. 8(16). 3261–3267. 17 indexed citations
11.
Wang, Yejun, et al.. (2017). Orientation and repositioning of chromosomes correlate with cell geometry–dependent gene expression. Molecular Biology of the Cell. 28(14). 1997–2009. 84 indexed citations
12.
Michelini, Flavia, Sethuramasundaram Pitchiaya, Valerio Vitelli, et al.. (2017). Damage-induced lncRNAs control the DNA damage response through interaction with DDRNAs at individual double-strand breaks. Nature Cell Biology. 19(12). 1400–1411. 272 indexed citations
13.
Zhang, Yongli, et al.. (2015). Effect of Nitrogen Fertilizer on Combined Forms and Transformation of Fluorine in Tea Garden Soil. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Wang, Yejun, et al.. (2012). Berberine-induced apoptosis in leukemia Molt-4 cell line and expression of NF-κB/p65 and Caspase-3. 21(6). 342–344. 1 indexed citations
15.
Wu, Ting, Yejun Wang, & Dianjing Guo. (2012). Investigation of Glandular Trichome Proteins in Artemisia annua L. Using Comparative Proteomics. PLoS ONE. 7(8). e41822–e41822. 19 indexed citations
16.
Zhang, Qing, Xiaodan Fan, Yejun Wang, et al.. (2012). A Model-Based Method for Gene Dependency Measurement. PLoS ONE. 7(7). e40918–e40918. 2 indexed citations
17.
Gu, Mingliang, Yejun Wang, Lei Shi, Yong‐Biao Zhang, & Jiayou Chu. (2009). Comparison on mitochondrial <I>ATP6, ATP8</I> and <I>Cyt b</I> genes between Chinese Tibetans in three different zones: detecting the signature of natural selection on mitochondrial genome. Hereditas (Beijing). 31(2). 147–152. 7 indexed citations
18.
Wu, Zhigang, Xin Shen, Ming‐an Sun, et al.. (2009). Phylogenetic analyses of complete mitochondrial genome of Urechis unicinctus (Echiura) support that echiurans are derived annelids. Molecular Phylogenetics and Evolution. 52(2). 558–562. 27 indexed citations
19.
Wang, Wei, Yejun Wang, Qing Zhang, Yan Qi, & Dianjing Guo. (2009). Global characterization of Artemisia annua glandular trichome transcriptome using 454 pyrosequencing. BMC Genomics. 10(1). 465–465. 165 indexed citations
20.
Wang, Yejun. (2008). Comparison of Morphology and Pathogenicity of 4 Isolates of Didymella bryoniae in Melon. Xinjiang nongye kexue. 1 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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