Jun Wu

6.4k total citations · 1 hit paper
128 papers, 3.6k citations indexed

About

Jun Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jun Wu has authored 128 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 21 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Jun Wu's work include RNA modifications and cancer (13 papers), Genomics and Phylogenetic Studies (10 papers) and Epigenetics and DNA Methylation (10 papers). Jun Wu is often cited by papers focused on RNA modifications and cancer (13 papers), Genomics and Phylogenetic Studies (10 papers) and Epigenetics and DNA Methylation (10 papers). Jun Wu collaborates with scholars based in China, United States and United Kingdom. Jun Wu's co-authors include Xiaodong Zhao, Zongli Lin, Yawen Xiao, Xinglong Wu, Jie Yan, Ming Li, Fuchou Tang, Hongshan Guo, Jin Huang and Jie Qiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jun Wu

122 papers receiving 3.5k citations

Hit Papers

Single-cell RNA-Seq profiling of human preimplantation em... 2013 2026 2017 2021 2013 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
    2013 1.2k citations Jun Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Wu China 26 2.1k 769 305 280 258 128 3.6k
Yuhang Zhang China 36 2.4k 1.1× 830 1.1× 139 0.5× 205 0.7× 376 1.5× 280 4.4k
Alia Benkahla Tunisia 11 2.0k 1.0× 541 0.7× 238 0.8× 334 1.2× 365 1.4× 26 3.2k
Aleš Hampl Czechia 35 2.8k 1.3× 520 0.7× 397 1.3× 284 1.0× 392 1.5× 159 4.6k
Joshua W. K. Ho Australia 36 2.6k 1.2× 452 0.6× 92 0.3× 358 1.3× 312 1.2× 141 4.4k
Fatma Z. Guerfali Tunisia 9 2.1k 1.0× 607 0.8× 272 0.9× 242 0.9× 377 1.5× 27 3.8k
Baolin Wu United States 32 2.0k 1.0× 222 0.3× 270 0.9× 408 1.5× 196 0.8× 141 3.8k
Steen Knudsen Denmark 34 3.5k 1.6× 649 0.8× 172 0.6× 647 2.3× 326 1.3× 76 4.8k
Shanrong Zhao United States 19 2.1k 1.0× 480 0.6× 79 0.3× 251 0.9× 183 0.7× 35 3.7k
Mikael Huss Sweden 25 2.9k 1.4× 309 0.4× 239 0.8× 481 1.7× 187 0.7× 56 3.9k
Luciano Milanesi Italy 36 3.0k 1.4× 449 0.6× 90 0.3× 511 1.8× 202 0.8× 243 4.9k

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wu. A scholar is included among the top collaborators of Jun 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 Jun Wu. Jun 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.
Yang, Ying, Junping Fan, Jun Wu, et al.. (2025). Unveiling FERONIA receptor kinase–mediated cellular mechanisms with a small-molecule inhibitor. Proceedings of the National Academy of Sciences. 122(45). e2515322122–e2515322122.
2.
3.
Wu, Jun, et al.. (2024). TaVQ22 Interacts with TaWRKY19-2B to Negatively Regulate Wheat Resistance to Sheath Blight. Phytopathology. 114(2). 454–463. 11 indexed citations
4.
Zhang, Jingwen, Jianghua Yang, Jun Wu, et al.. (2024). Enhancing amphibian biomonitoring through eDNA metabarcoding. Molecular Ecology Resources. 24(4). e13931–e13931. 1 indexed citations
5.
6.
Wu, Jun, Yabin Zhang, Ruiqi Liu, et al.. (2022). 2cChIP-seq and 2cMeDIP-seq: The Carrier-Assisted Methods for Epigenomic Profiling of Small Cell Numbers or Single Cells. International Journal of Molecular Sciences. 23(22). 13984–13984. 3 indexed citations
7.
Liu, Dunhua, Haiyan Liu, Jun Wu, & Bing Gong. (2022). Effects of Thoracic Paravertebral Block on Inflammatory Response, Stress Response,Hemodynamics and Anesthesia Resuscitation in Gallbladder Carcinoma. Cellular and Molecular Biology. 68(2). 171–177. 1 indexed citations
8.
Gao, Zhen, et al.. (2022). Comparative transcriptome analysis of resistant and susceptible wheat in response to Rhizoctonia cerealis. BMC Plant Biology. 22(1). 235–235. 20 indexed citations
9.
Wu, Bin, Haiyan Dong, Liang Chen, et al.. (2021). Effects of low lead exposure on sperm quality and sperm DNA methylation in adult men. Cell & Bioscience. 11(1). 150–150. 13 indexed citations
10.
Xu, Wei, Jun Lü, Qiang Zhao, et al.. (2019). Genome-Wide Plasma Cell-Free DNA Methylation Profiling Identifies Potential Biomarkers for Lung Cancer. Disease Markers. 2019. 1–7. 41 indexed citations
11.
Wu, Jun, Wenxiao Yang, Chao Xia, et al.. (2018). STAT3 is required for proliferation and exhibits a cell type-specific binding preference in mouse female germline stem cells. Molecular Omics. 14(2). 95–102. 9 indexed citations
12.
Lü, Jun, Weidong Zhang, Bin Yan, et al.. (2018). Tumor mutation index as a biomarker for responsive stratification on multi-targeted TKI anlotinib: An ALTER-0303 companion diagnostic study. Annals of Oncology. 29. ix113–ix113. 2 indexed citations
13.
Kang, Yani, Hua Li, Jun Wu, et al.. (2016). Transcriptome Profiling Reveals the Antitumor Mechanism of Polysaccharide from Marine Algae Gracilariopsis lemaneiformis. PLoS ONE. 11(6). e0158279–e0158279. 27 indexed citations
14.
Qi, Ying, Xiaoli Zhang, Yani Kang, et al.. (2015). Genome-wide transcriptional profiling analysis reveals annexin A6 as a novel EZH2 target gene involving gastric cellular proliferation. Molecular BioSystems. 11(7). 1980–1986. 12 indexed citations
15.
Wu, Jun, Xiaodong Zhao, Zongli Lin, & Zhifeng Shao. (2015). A system level analysis of gastric cancer across tumor stages with RNA-seq data. Molecular BioSystems. 11(7). 1925–1932. 13 indexed citations
16.
Wu, Jun, Xiaodong Zhao, Zongli Lin, & Zhifeng Shao. (2015). Large scale gene regulatory network inference with a multi-level strategy. Molecular BioSystems. 12(2). 588–597. 18 indexed citations
17.
Wu, Jun. (2011). A Study on Chemical Constituents of Tinospora sagittata. 1 indexed citations
18.
Wu, Jun. (2005). Chemical constituents from Clerodendrum inerme. Zhongcaoyao. 4 indexed citations
19.
Wu, Jun. (2004). INVESTIGATION ON INFECTION OF HYMENOLEPIS AMONG RATTUS NORUEGICUS AND RATTUS FLAVIPECTUS IN ZHANJIANG CITY, GUANGDONG PROVINCE. 1 indexed citations
20.
Li, Yan, Wei Li, Zhao Xu, et al.. (2004). Structure-Based Preliminary Analysis of Immunity and Virulence of SARS Coronavirus. Viral Immunology. 17(4). 528–534. 20 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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