Pancreatic Cancer Research

ResearcherPeking University First HospitalNo recent work listed

Feng Wang

Matched on OpenAlex author ID A5033858312. Sources: OpenAlex.

Their work

Papers
10 (first author 2, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
16
Papers, trials and grants by year

2016: 2 papers · 2017: 1 paper · 2018: 2 papers · 2019: 1 paper · 2020: none · 2021: 2 papers · 2022: 2 papers

Papers 10

  1. Exosomal miR-485-3p derived from pancreatic ductal epithelial cells inhibits pancreatic cancer metastasis through targeting PAK1. Co-author DOI 10.1097/cm9.0000000000002154↗
  2. Single Cell RNA-Seq Identifies Immune-Related Prognostic Model and Key Signature-SPP1 in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/genes13101760↗
  3. Single-cell RNA-seq reveals dynamic change in tumor microenvironment during pancreatic ductal adenocarcinoma malignant progression. Co-author DOI 10.1016/j.ebiom.2021.103315↗
  4. Predicting early recurrence for resected pancreatic ductal adenocarcinoma: a multicenter retrospective study in China. Co-author PMID 34249444↗
  5. BRM transcriptionally regulates miR-302a-3p to target SOCS5/STAT3 signaling axis to potentiate pancreatic cancer metastasis. Co-author DOI 10.1016/j.canlet.2019.02.031↗
  6. Long non-coding RNA MEG3 functions as a tumour suppressor and has prognostic predictive value in human pancreatic cancer. First author DOI 10.3892/or.2018.6178↗
  7. Long noncoding RNA H19 derived miR-675 regulates cell proliferation by down-regulating E2F-1 in human pancreatic ductal adenocarcinoma. Co-author DOI 10.7150/jca.21347↗
  8. BRM/SMARCA2 promotes the proliferation and chemoresistance of pancreatic cancer cells by targeting JAK2/STAT3 signaling. First author DOI 10.1016/j.canlet.2017.05.006↗
  9. The long noncoding RNA H19 promotes cell proliferation via E2F-1 in pancreatic ductal adenocarcinoma. Co-author DOI 10.1080/15384047.2016.1219814↗
  10. Hedgehog Signaling Regulates Epithelial-Mesenchymal Transition in Pancreatic Cancer Stem-Like Cells. Co-author DOI 10.7150/jca.13305↗

Closest collaborators

The 16 strongest of 16 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Yinmo Yang · 8 shared papers, 2016–2022 · strength 0.71
  2. Ling Ma · 7 shared papers, 2016–2022 · strength 0.58
  3. Zhengkui Zhang · 7 shared papers, 2016–2022 · strength 0.58
  4. Xiaodong Tian · 5 shared papers, 2016–2022 · strength 0.56
  5. Xiaodong Tian · 5 shared papers, 2016–2022 · strength 0.45
  6. Huahu Guo · 5 shared papers, 2017–2021 · strength 0.45
  7. Marko Kornmann · 6 shared papers, 2016–2019 · strength 0.43
  8. Chong Du · 5 shared papers, 2016–2019 · strength 0.37
  9. Yinmo Yang · 2 shared papers, 2021–2022 · strength 0.30
  10. Mingzhe Li · 2 shared papers, 2021–2022 · strength 0.30
  11. Kai Chen · 2 shared papers, 2021–2022 · strength 0.30
  12. Weikang Liu · 2 shared papers, 2021 · strength 0.27
  13. Yongsu Ma · 1 shared paper, 2022 · strength 0.16
  14. Hao Hu · 1 shared paper, 2021 · strength 0.13
  15. Xiaoran Liu · 2 shared papers, 2016–2017 · strength 0.13
  16. Yazhou Wang · 1 shared paper, 2019 · strength 0.09

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.