Jun Wan

7.5k total citations
181 papers, 4.8k citations indexed

About

Jun Wan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jun Wan has authored 181 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 32 papers in Oncology and 21 papers in Immunology. Recurrent topics in Jun Wan's work include Epigenetics and DNA Methylation (23 papers), RNA modifications and cancer (17 papers) and Cancer-related gene regulation (16 papers). Jun Wan is often cited by papers focused on Epigenetics and DNA Methylation (23 papers), RNA modifications and cancer (17 papers) and Cancer-related gene regulation (16 papers). Jun Wan collaborates with scholars based in United States, China and France. Jun Wan's co-authors include Jiang Qian, Sheng Liu, Chun Zhang, Heng Zhu, Jian Zi, Donald J. Zack, Guohua Wang, Shannath L. Merbs, F. Alex Feltus and Stefan Schulze and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Wan

172 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Wan United States 39 2.7k 611 568 519 470 181 4.8k
Philippe Robin France 38 3.5k 1.3× 1.1k 1.7× 330 0.6× 480 0.9× 186 0.4× 217 6.7k
Stephen J. Kron United States 44 5.8k 2.1× 904 1.5× 519 0.9× 266 0.5× 576 1.2× 151 8.4k
Walter Hunziker Singapore 54 5.5k 2.0× 748 1.2× 366 0.6× 785 1.5× 430 0.9× 202 10.1k
Thomas M. Marti Switzerland 47 3.4k 1.3× 687 1.1× 476 0.8× 383 0.7× 179 0.4× 146 6.9k
Masaaki Yamamoto Japan 38 1.4k 0.5× 875 1.4× 1.1k 1.8× 215 0.4× 383 0.8× 237 5.0k
Sabine Schmidt Germany 26 4.3k 1.6× 261 0.4× 1.3k 2.3× 530 1.0× 385 0.8× 76 6.2k
Stefan Kubicek Belgium 37 6.4k 2.4× 836 1.4× 591 1.0× 901 1.7× 289 0.6× 185 8.6k
Winston Timp United States 33 4.1k 1.5× 340 0.6× 715 1.3× 850 1.6× 158 0.3× 99 5.5k
Masaki Matsumoto Japan 42 5.2k 1.9× 1.1k 1.9× 943 1.7× 485 0.9× 258 0.5× 166 7.4k
Anny Usheva United States 39 4.5k 1.7× 1.1k 1.8× 407 0.7× 695 1.3× 222 0.5× 89 7.7k

Countries citing papers authored by Jun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wan. A scholar is included among the top collaborators of Jun Wan 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 Wan. Jun Wan 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.
Liu, Sheng, Jun Wan, Steven P. Angus, et al.. (2025). PLK1 Inhibition Induces Synthetic Lethality in Fanconi Anemia Pathway–Deficient Acute Myeloid Leukemia. Cancer Research Communications. 5(4). 648–667. 1 indexed citations
2.
Zhang, Yu, Yinong Chen, Chunling Dong, et al.. (2024). Performance of the Simplified Pulmonary Embolism Severity Index in predicting 30-day mortality after acute pulmonary embolism: Validation from a large-scale cohort. European Journal of Internal Medicine. 124. 46–53. 3 indexed citations
3.
Wan, Jun, et al.. (2024). Knowledge Visualization in Outdoor Thermal Environment Studies: A Comprehensive Review and International Comparison. SHILAP Revista de lepidopterología. 192. 2009–2009. 1 indexed citations
4.
5.
Zhou, Zhuolong, Kevin Van der Jeught, Yujing Li, et al.. (2023). A T Cell‐Engaging Tumor Organoid Platform for Pancreatic Cancer Immunotherapy. Advanced Science. 10(23). e2300548–e2300548. 35 indexed citations
6.
Liu, Sheng, Jill L. Reiter, Hongyu Gao, et al.. (2023). Osteogenic Differentiation Potential of Mesenchymal Stem Cells Using Single Cell Multiomic Analysis. Genes. 14(10). 1871–1871. 8 indexed citations
7.
Zhang, Kun, et al.. (2021). Caspases Switch off the m 6 A RNA Modification Pathway to Foster the Replication of a Ubiquitous Human Tumor Virus. mBio. 12(4). e0170621–e0170621. 22 indexed citations
8.
Zhou, Zhuolong, Kevin Van der Jeught, Yuanzhang Fang, et al.. (2021). An organoid-based screen for epigenetic inhibitors that stimulate antigen presentation and potentiate T-cell-mediated cytotoxicity. Nature Biomedical Engineering. 5(11). 1320–1335. 78 indexed citations
9.
Sripathi, Srinivas R., Ravi Chakra Turaga, Melissa M. Liu, et al.. (2021). Proteome Landscape of Epithelial-to-Mesenchymal Transition (EMT) of Retinal Pigment Epithelium Shares Commonalities With Malignancy-Associated EMT. Molecular & Cellular Proteomics. 20. 100131–100131. 15 indexed citations
10.
Fang, Shuyi, Hongyu Gao, Xiaoli Zhang, et al.. (2021). A critical role of AREG for bleomycin-induced skin fibrosis. Cell & Bioscience. 11(1). 40–40. 15 indexed citations
11.
Fang, Shuyi, Sheng Liu, Xufeng Chen, et al.. (2020). Protein Arginine Methyltransferase 5 Promotes pICln-Dependent Androgen Receptor Transcription in Castration-Resistant Prostate Cancer. Cancer Research. 80(22). 4904–4917. 28 indexed citations
12.
Marino, Natascia, Rana German, Xi Rao, et al.. (2020). Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis. npj Breast Cancer. 6(1). 50–50. 56 indexed citations
13.
14.
Shinde, Aparna, Shana D. Hardy, Dong Wook Kim, et al.. (2019). Spleen Tyrosine Kinase–Mediated Autophagy Is Required for Epithelial–Mesenchymal Plasticity and Metastasis in Breast Cancer. Cancer Research. 79(8). 1831–1843. 97 indexed citations
15.
Dey, Shatovisha, Jason J. Kwon, Sheng Liu, et al.. (2019). miR-29a Is Repressed by MYC in Pancreatic Cancer and Its Restoration Drives Tumor-Suppressive Effects via Downregulation of LOXL2. Molecular Cancer Research. 18(2). 311–323. 28 indexed citations
16.
Xie, Markus M., Shuyi Fang, Qiang Chen, et al.. (2019). Follicular regulatory T cells inhibit the development of granzyme B–expressing follicular helper T cells. JCI Insight. 4(16). 55 indexed citations
17.
Kumar, Brijesh, Mayuri Prasad, Poornima Bhat‐Nakshatri, et al.. (2018). Normal Breast-Derived Epithelial Cells with Luminal and Intrinsic Subtype-Enriched Gene Expression Document Interindividual Differences in Their Differentiation Cascade. Cancer Research. 78(17). 5107–5123. 38 indexed citations
18.
Jia, Yanfei, Dongsheng Gu, Jun Wan, et al.. (2018). The role of GLI-SOX2 signaling axis for gemcitabine resistance in pancreatic cancer. Oncogene. 38(10). 1764–1777. 60 indexed citations
19.
Sun, Bing, Hangyong He, Zheng Wang, et al.. (2014). Emergent severe acute respiratory distress syndrome caused by adenovirus type 55 in immunocompetent adults in 2013: a prospective observational study. Critical Care. 18(4). 456–456. 64 indexed citations
20.
Wan, Jun, Tomohiro Masuda, László Hackler, et al.. (2011). Dynamic usage of alternative splicing exons during mouse retina development. Nucleic Acids Research. 39(18). 7920–7930. 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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