Jun Yu

85.8k total citations · 33 hit papers
723 papers, 38.5k citations indexed

About

Jun Yu is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Jun Yu has authored 723 papers receiving a total of 38.5k indexed citations (citations by other indexed papers that have themselves been cited), including 400 papers in Molecular Biology, 148 papers in Epidemiology and 134 papers in Oncology. Recurrent topics in Jun Yu's work include Gut microbiota and health (97 papers), Cancer-related gene regulation (80 papers) and Liver Disease Diagnosis and Treatment (79 papers). Jun Yu is often cited by papers focused on Gut microbiota and health (97 papers), Cancer-related gene regulation (80 papers) and Liver Disease Diagnosis and Treatment (79 papers). Jun Yu collaborates with scholars based in China, Hong Kong and United States. Jun Yu's co-authors include Joseph J.�Y. Sung, William Ka Kei Wu, Francis K.L. Chan, Ka‐Fai To, Xiang Zhang, Sunny H. Wong, Harry Cheuk-Hay Lau, Simon S.M. Ng, Wei Kang and Chi Chun Wong and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jun Yu

692 papers receiving 38.0k citations

Hit Papers

Differential expression of microRNAs in plasma of patient... 2009 2026 2014 2020 2009 2020 2015 2010 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yu China 108 23.7k 9.4k 7.1k 7.0k 4.8k 723 38.5k
Jian Zhang China 79 15.5k 0.7× 7.5k 0.8× 6.7k 0.9× 3.1k 0.4× 2.9k 0.6× 1.3k 32.7k
Ka‐Fai To Hong Kong 100 13.5k 0.6× 7.6k 0.8× 8.9k 1.2× 4.1k 0.6× 6.2k 1.3× 566 34.7k
Jerrold M. Ward United States 88 14.3k 0.6× 5.6k 0.6× 7.3k 1.0× 4.3k 0.6× 4.4k 0.9× 455 34.9k
Yang Liu China 72 13.8k 0.6× 6.9k 0.7× 3.2k 0.4× 2.5k 0.4× 3.2k 0.7× 1.9k 33.9k
Joshua D. Rabinowitz United States 110 30.9k 1.3× 12.3k 1.3× 4.4k 0.6× 7.0k 1.0× 2.0k 0.4× 328 49.1k
Jiahuai Han China 107 29.9k 1.3× 6.7k 0.7× 5.8k 0.8× 4.2k 0.6× 2.1k 0.4× 319 44.0k
Stephen J. Chanock United States 88 11.5k 0.5× 3.9k 0.4× 4.5k 0.6× 3.4k 0.5× 2.4k 0.5× 588 28.5k
Chen Liu China 83 12.3k 0.5× 3.3k 0.4× 5.0k 0.7× 4.0k 0.6× 3.1k 0.6× 1.1k 32.8k
Christian Trautwein Germany 102 9.7k 0.4× 4.5k 0.5× 4.7k 0.7× 15.3k 2.2× 5.2k 1.1× 709 36.2k
Nigel Mackman United States 106 12.7k 0.5× 5.6k 0.6× 3.8k 0.5× 3.7k 0.5× 3.4k 0.7× 508 39.6k

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yu. A scholar is included among the top collaborators of Jun Yu 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 Yu. Jun Yu 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
2.
Zhang, Weichen, Hangbiao Jin, Yuanchen Chen, et al.. (2024). 6:2 Cl-PFESA, a proposed safe alternative for PFOS, diminishes the gemcitabine effectiveness in the treatment of pancreatic cancer. Journal of Hazardous Materials. 474. 134790–134790. 2 indexed citations
3.
Yu, Jun, et al.. (2024). An improved model for discrete element method simulation of spatial gradient distributions of freeze-thaw-induced damage to sandstone. Computers and Geotechnics. 171. 106412–106412. 17 indexed citations
5.
Li, Tianhui, Olabisi Oluwabukola Coker, Shiyu Li, et al.. (2024). Multi-Cohort Analysis Reveals Altered Archaea in Colorectal Cancer Fecal Samples Across Populations. Gastroenterology. 168(3). 525–538.e2. 5 indexed citations
6.
Zhang, Nan, Wei Zhang, Jian Dong, et al.. (2024). Sex-determining region Y gene promotes liver fibrosis and accounts for sexual dimorphism in its pathophysiology. Journal of Hepatology. 80(6). 928–940. 14 indexed citations
7.
Ren, Xiaoxue, Yubin Xie, Yifan Wu, et al.. (2023). Personalized drug screening in patient-derived organoids of biliary tract cancer and its clinical application. Cell Reports Medicine. 4(11). 101277–101277. 29 indexed citations
8.
Yu, Jun, et al.. (2023). A Systematic Immune and Prognostic Analysis of CD48 Interaction with Tumor Microenvironment in Pan-Cancer. International Journal of General Medicine. Volume 16. 5255–5269. 5 indexed citations
9.
Kang, Xing, Changan Liu, Yufeng Lin, et al.. (2023). Altered gut microbiota of obesity subjects promotes colorectal carcinogenesis in mice. EBioMedicine. 93. 104670–104670. 32 indexed citations
10.
Yu, Jun, et al.. (2023). Role of cyclosporin A in the treatment of kidney disease and nephrotoxicity. Toxicology. 492. 153544–153544. 18 indexed citations
11.
Kang, Xing, Changan Liu, Yanqiang Ding, et al.. (2023). Roseburia intestinalis generated butyrate boosts anti-PD-1 efficacy in colorectal cancer by activating cytotoxic CD8 + T cells. Gut. 72(11). 2112–2122. 202 indexed citations breakdown →
12.
Wei, Wenchao, Chi Chun Wong, Zhongjun Jia, et al.. (2023). Parabacteroides distasonis uses dietary inulin to suppress NASH via its metabolite pentadecanoic acid. Nature Microbiology. 8(8). 1534–1548. 144 indexed citations breakdown →
13.
Chan, Wai Nok, Bonan Chen, Alvin H.K. Cheung, et al.. (2022). Targeting YAP1/TAZ in nonsmall‐cell lung carcinoma: From molecular mechanisms to precision medicine. International Journal of Cancer. 152(4). 558–571. 12 indexed citations
14.
Liu, Xiaoli, Yifei Wang, Bonan Chen, et al.. (2022). Targeting the Hippo Pathway in Gastric Cancer and Other Malignancies in the Digestive System: From Bench to Bedside. Biomedicines. 10(10). 2512–2512. 18 indexed citations
15.
Zhao, Liuyang, Xiang Zhang, Yunfei Zhou, et al.. (2022). Parvimonas micra promotes colorectal tumorigenesis and is associated with prognosis of colorectal cancer patients. Oncogene. 41(36). 4200–4210. 78 indexed citations
16.
Yu, Shuang, Changan Liu, Jie Li, et al.. (2022). Integrative metabolomic characterization identifies plasma metabolomic signature in the diagnosis of papillary thyroid cancer. Oncogene. 41(17). 2422–2430. 20 indexed citations
17.
Wong, Ka‐Chun, Junyi Chen, Jiao Zhang, et al.. (2019). Early Cancer Detection from Multianalyte Blood Test Results. iScience. 15. 332–341. 22 indexed citations
18.
Zhang, Jinglin, Yuhang Zhou, Tingting Huang, et al.. (2018). FGF18, a prominent player in FGF signaling, promotes gastric tumorigenesis through autocrine manner and is negatively regulated by miR-590-5p. Oncogene. 38(1). 33–46. 43 indexed citations
19.
Li, Dan, Grace Gar‐Lee Yue, Julia Kin-Ming Lee, et al.. (2017). The adjuvant value of Andrographis paniculata in metastatic esophageal cancer treatment – from preclinical perspectives. Scientific Reports. 7(1). 854–854. 27 indexed citations
20.
Liu, Xiaodong, Yuanyuan Tian, Yan Chen, et al.. (2015). Up-regulation of Cathepsin G in the Development of Chronic Postsurgical Pain. Anesthesiology. 123(4). 838–850. 26 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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