Jun Zhu

23.0k total citations
146 papers, 5.5k citations indexed

About

Jun Zhu is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jun Zhu has authored 146 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 25 papers in Surgery and 24 papers in Genetics. Recurrent topics in Jun Zhu's work include Bioinformatics and Genomic Networks (36 papers), Gene expression and cancer classification (24 papers) and Gene Regulatory Network Analysis (14 papers). Jun Zhu is often cited by papers focused on Bioinformatics and Genomic Networks (36 papers), Gene expression and cancer classification (24 papers) and Gene Regulatory Network Analysis (14 papers). Jun Zhu collaborates with scholars based in United States, China and United Kingdom. Jun Zhu's co-authors include Eric E. Schadt, Bin Zhang, Eunjee Lee, Roger E. Bumgarner, Pek Yee Lum, Seungyeul Yoo, Rachel B. Brem, Erin N. Smith, Becky Drees and Leonid Kruglyak and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jun Zhu

140 papers receiving 5.4k citations

Peers

Jun Zhu

GENET

ONCOL

SURGE

Edward Y. Chen United States

Simon Koplev United States

Christopher M. Tan United States

Zhiao Shi United States

Neil R. Clark United States

Caroline D. Monteiro United States

Gregory W. Gundersen United States

Max Franz Canada

Mitchell Stark Australia

Edward Y. Chen United States

Jun Zhu

3.4k ×1.0

567 ×0.6

GENET

830 ×0.9

531 ×0.7

ONCOL

302 ×0.5

SURGE

Citations per year, relative to Jun Zhu Jun Zhu (= 1×) peers Edward Y. Chen

Countries citing papers authored by Jun Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhu, Jun, et al.. (2024). Integrative analysis revealed novel putative therapeutic targets of ulcerative colitis: Role of creatine. International Immunopharmacology. 142(Pt A). 113054–113054.

Xu, Hongjiao, Yu Zhuang, Jun Zhu, et al.. (2024). Types of cell death in diabetic cardiomyopathy: insights from animal models. Acta Biochimica et Biophysica Sinica. 57(5). 681–689. 6 indexed citations

Sato, Katsutoshi, Eunjee Lee, Elisa Port, et al.. (2024). MARCH2, a Novel Oncogene-regulated SNAIL E3 Ligase, Suppresses Triple-negative Breast Cancer Metastases. Cancer Research Communications. 4(3). 946–957. 5 indexed citations

Yoo, Seungyeul, Abhilasha Sinha, Dawei Yang, et al.. (2022). Integrative network analysis of early-stage lung adenocarcinoma identifies aurora kinase inhibition as interceptor of invasion and progression. Nature Communications. 13(1). 1592–1592. 18 indexed citations

Sfakianos, John P., Yang Hu, Jorge Daza, et al.. (2022). Tumor-Infiltrating Myeloid Cells Confer De Novo Resistance to PD-L1 Blockade through EMT–Stromal and Tgfβ-Dependent Mechanisms. Molecular Cancer Therapeutics. 21(11). 1729–1741. 2 indexed citations

Patel, Ayushi S., Seungyeul Yoo, Ranran Kong, et al.. (2021). Prototypical oncogene family Myc defines unappreciated distinct lineage states of small cell lung cancer. Science Advances. 7(5). 47 indexed citations

Zeng, Lu, Jialiang Yang, Shouneng Peng, et al.. (2020). Transcriptome analysis reveals the difference between “healthy” and “common” aging and their connection with age‐related diseases. Aging Cell. 19(3). e13121–e13121. 19 indexed citations

Gong, Yixuan, Li Wang, Naomi Alpert, et al.. (2019). Prostate Cancer in World Trade Center Responders Demonstrates Evidence of an Inflammatory Cascade. Molecular Cancer Research. 17(8). 1605–1612. 20 indexed citations

Sato, Takashi, Seungyeul Yoo, Ranran Kong, et al.. (2019). Epigenomic Profiling Discovers Trans-lineage SOX2 Partnerships Driving Tumor Heterogeneity in Lung Squamous Cell Carcinoma. Cancer Research. 79(24). 6084–6100. 26 indexed citations

10.

Yoo, Seungyeul, Ruoji Zhou, An Xu, et al.. (2018). Oncogenic role of SFRP2 in p53-mutant osteosarcoma development via autocrine and paracrine mechanism. Proceedings of the National Academy of Sciences. 115(47). E11128–E11137. 44 indexed citations

11.

Zhu, Jun & Jun Yao. (2018). Re-estimation of China's Public Capital Stock and Its Application:A Dynamic General Equilibrium Perspective. China Economic Quarterly. 16(4). 1367–1398. 4 indexed citations

12.

Wang, Li, Abdel Saci, Péter M. Szabó, et al.. (2018). EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer. Nature Communications. 9(1). 3503–3503. 216 indexed citations

13.

Lee, Eunjee, Margaret Pain, Huaien Wang, et al.. (2017). Sensitivity to BUB1B Inhibition Defines an Alternative Classification of Glioblastoma. Cancer Research. 77(20). 5518–5529. 28 indexed citations

14.

Aushev, Vasily N., Eunjee Lee, Jun Zhu, et al.. (2017). Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis. Clinical Cancer Research. 24(3). 581–591. 23 indexed citations

15.

Esposti, Davide Degli, Vasily N. Aushev, Eunjee Lee, et al.. (2017). miR-500a-5p regulates oxidative stress response genes in breast cancer and predicts cancer survival. Scientific Reports. 7(1). 15966–15966. 32 indexed citations

16.

Yoo, Seungyeul, Sachiko Takikawa, Patrick Geraghty, et al.. (2015). Integrative Analysis of DNA Methylation and Gene Expression Data Identifies EPAS1 as a Key Regulator of COPD. PLoS Genetics. 11(1). e1004898–e1004898. 72 indexed citations

17.

Ding, Yu, Christopher G. Hubert, Jacob Herman, et al.. (2012). Cancer-Specific Requirement for BUB1B/BUBR1 in Human Brain Tumor Isolates and Genetically Transformed Cells. Cancer Discovery. 3(2). 198–211. 67 indexed citations

18.

Zhang, Haijun, Fanyan Meng, Gang Liu, et al.. (2011). Forkhead Transcription Factor Foxq1 Promotes Epithelial–Mesenchymal Transition and Breast Cancer Metastasis. Cancer Research. 71(4). 1292–1301. 150 indexed citations

19.

Zhu, Jun, Bin Zhang, & Eric E. Schadt. (2008). A Systems Biology Approach to Drug Discovery. Advances in genetics. 60. 603–635. 42 indexed citations

20.

Zhu, Jun, Hong Yang, & Weizhong Liu. (2006). [Reversed phase high-performance liquid chromatography for determination of plasma olanzapine and pharmacokinetics of olanzapine in healthy Chinese volunteers].. PubMed. 26(9). 1327–9. 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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