Pancreatic Cancer Research

ResearcherWuhan UniversityActive in the last 2 years

Xiaoping Miao

Matched on ORCID iD 0000-0002-6818-9722; OpenAlex author ID A5005035346. Sources: OpenAlex.

Their work

Papers
23 (first author 1, last author 14)
Trials
0
Grants
0
Labs led
1
Collaborators
52
Papers, trials and grants by year

2011: 1 paper · 2012: none · 2013: 2 papers · 2014: 3 papers · 2015: 2 papers · 2016: 2 papers · 2017: 1 paper · 2018: 1 paper · 2019: 2 papers · 2020: 2 papers · 2021: 2 papers · 2022: 2 papers · 2023: 1 paper · 2024: none · 2025: 1 paper · 2026: 1 paper

Papers 23

  1. Mapping Genetic Regulation of Transcription to Identify Functional Variants and Genes Associated with Pancreatic Cancer Risk. Co-author DOI 10.1002/advs.202517184↗
  2. Author Correction: Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations. Last author DOI 10.1038/s41467-025-58613-9↗
  3. Risk SNP in a transcript of RP11-638I2.4 increases lncRNA-YY1 interaction and pancreatic cancer susceptibility. Last author DOI 10.1007/s00204-023-03564-7↗
  4. Systematic analysis on expression quantitative trait loci identifies a novel regulatory variant in ring finger and WD repeat domain 3 associated with prognosis… Last author DOI 10.1097/cm9.0000000000002180↗
  5. Aberrant RNA Splicing Is a Primary Link between Genetic Variation and Pancreatic Cancer Risk. Last author DOI 10.1158/0008-5472.can-21-4367↗
  6. Identification of genetic variants in m6A modification genes associated with pancreatic cancer risk in the Chinese population. Co-author DOI 10.1007/s00204-021-02978-5↗
  7. A genetic variant conferred high expression of CAV2 promotes pancreatic cancer progression and associates with poor prognosis. Last author DOI 10.1016/j.ejca.2021.04.008↗
  8. Evaluation of polymorphisms in microRNA-binding sites and pancreatic cancer risk in Chinese population. Last author DOI 10.1111/jcmm.14906↗
  9. N6-methyladenosine mRNA methylation of PIK3CB regulates AKT signalling to promote PTEN-deficient pancreatic cancer progression. Last author DOI 10.1136/gutjnl-2019-320179↗
  10. A genetic variant in PIK3R1 is associated with pancreatic cancer survival in the Chinese population. Co-author DOI 10.1002/cam4.2228↗
  11. A functional variant rs1537373 in 9p21.3 region is associated with pancreatic cancer risk. Co-author DOI 10.1002/mc.22968↗
  12. Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations. Last author DOI 10.1038/s41467-018-06136-x↗
  13. BRCA1 missense polymorphisms are associated with poor prognosis of pancreatic cancer patients in a Chinese population. Last author DOI 10.18632/oncotarget.16422↗
  14. Pancreatic cancer risk variant in LINC00673 creates a miR-1231 binding site and interferes with PTPN11 degradation. Co-author DOI 10.1038/ng.3568↗
  15. A single nucleotide polymorphism in the 3'-UTR of STAT3 regulates its expression and reduces risk of pancreatic cancer in a Chinese population. Last author DOI 10.18632/oncotarget.11607↗
  16. Genetic variants in the SWI/SNF complex and smoking collaborate to modify the risk of pancreatic cancer in a Chinese population. Last author DOI 10.1002/mc.22140↗
  17. SF3A1 and pancreatic cancer: new evidence for the association of the spliceosome and cancer. Co-author DOI 10.18632/oncotarget.5647↗
  18. Non-linear dose-response relationship between cigarette smoking and pancreatic cancer risk: evidence from a meta-analysis of 42 observational studies. Last author DOI 10.1016/j.ejca.2013.08.014↗
  19. Parity and pancreatic cancer risk: evidence from a meta-analysis of twenty epidemiologic studies. Last author DOI 10.1038/srep05313↗
  20. [Association between pancreatic cancer risk and the interaction of U2AF65 gene polymorphisms and smoking]. Co-author PMID 25174478↗
  21. Identification of common variants in BRCA2 and MAP2K4 for susceptibility to sporadic pancreatic cancer. Co-author DOI 10.1093/carcin/bgt004↗
  22. [Discussion on the strategy of prevention and control of pancreatic cancer]. Last author PMID 24304947↗
  23. Genome-wide association study identifies five loci associated with susceptibility to pancreatic cancer in Chinese populations. First author DOI 10.1038/ng.1020↗

Closest collaborators

The 25 strongest of 52 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jianbo Tian · 14 shared papers, 2016–2026 · strength 1.55
  2. Rong Zhong · 17 shared papers, 2013–2025 · strength 1.30
  3. Jiang Chang · 14 shared papers, 2011–2025 · strength 1.20
  4. Ying Zhu · 10 shared papers, 2016–2025 · strength 0.91
  5. Pingting Ying · 7 shared papers, 2019–2022 · strength 0.71
  6. Juntao Ke · 9 shared papers, 2014–2025 · strength 0.67
  7. Ying Zhu · 4 shared papers, 2022–2026 · strength 0.65
  8. Ming Zhang · 5 shared papers, 2019–2023 · strength 0.56
  9. Beibei Zhu · 8 shared papers, 2014–2025 · strength 0.50
  10. Chen Hsuan Wu · 5 shared papers, 2011–2025 · strength 0.32
  11. Dongxin Lin · 5 shared papers, 2011–2025 · strength 0.32
  12. Kun Huang · 3 shared papers, 2017–2025 · strength 0.30
  13. Bo Li · 1 shared paper, 2026 · strength 0.25
  14. Xing Wang · 1 shared paper, 2026 · strength 0.25
  15. Ming Yang · 2 shared papers, 2018–2025 · strength 0.24
  16. Li Wang · 2 shared papers, 2018–2025 · strength 0.24
  17. Bin Li · 2 shared papers, 2019–2021 · strength 0.17
  18. Shufang Mei · 2 shared papers, 2019–2020 · strength 0.16
  19. Li Zou · 4 shared papers, 2014–2015 · strength 0.16
  20. Jing Tian · 3 shared papers, 2014–2015 · strength 0.13
  21. Yao Tian · 3 shared papers, 2014–2015 · strength 0.13
  22. Zhiyong Yang · 1 shared paper, 2022 · strength 0.11
  23. Min Wang · 1 shared paper, 2022 · strength 0.11
  24. Li Wang · 2 shared papers, 2014–2015 · strength 0.09
  25. Beibei Zhu · 1 shared paper, 2019 · strength 0.08

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.