ResearcherNanjing University of Chinese MedicineNo recent work listed
Xiao Chen
Matched on ORCID iD 0000-0002-8354-9087; OpenAlex author ID A5073319973. Sources: OpenAlex.
Their work
- Papers
- 11 (first author 4, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 22
2017: 1 paper · 2018: 2 papers · 2019: 4 papers · 2020: 1 paper · 2021: 3 papers
Papers 11
- Increased expression of zinc transporter ZIP4, ZIP11, ZnT1, and ZnT6 predicts poor prognosis in pancreatic cancer. Co-author DOI 10.1016/j.jtemb.2021.126734↗
- Serum Exosomal miRNA-1226 as Potential Biomarker of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2147/ott.s296816↗
- Potential Metabolite Biomarkers for Early Detection of Stage-I Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/fonc.2021.744667↗
- Differentiating hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma based on CT texture analysis. First author DOI 10.1177/0284185119875023↗
- Differentiation of hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography. First author DOI 10.1371/journal.pone.0211566↗
- Differentiation of chronic mass-forming pancreatitis from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography. First author DOI 10.2147/cmar.s217033↗
- Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Prediction Of Histopathological Grade. Co-author DOI 10.2147/cmar.s218414↗
- Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images. Co-author DOI 10.3389/fonc.2019.01171↗
- The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis. Last author DOI 10.1186/s40644-018-0170-8↗
- Oridonin-loaded and GPC1-targeted gold nanoparticles for multimodal imaging and therapy in pancreatic cancer. Co-author DOI 10.2147/ijn.s177993↗
- Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance imaging: The value of contrast-enhanced a… First author DOI 10.18632/oncotarget.17309↗
Closest collaborators
The 22 strongest of 22 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Zhongqiu Wang · 8 shared papers, 2017–2021 · strength 0.80
- Paper Serum Exosomal miRNA-1226 as Potential Biomarker of Pancreatic Ductal Adenocarcinoma. DOI 10.2147/ott.s296816↗
- Paper Potential Metabolite Biomarkers for Early Detection of Stage-I Pancreatic Ductal Adenocarcinoma. DOI 10.3389/fonc.2021.744667↗
- Paper Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Predicti… DOI 10.2147/cmar.s218414↗
- Shuai Ren · 6 shared papers, 2019–2021 · strength 0.67
- Paper Differentiating hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma based on CT texture… DOI 10.1177/0284185119875023↗
- Paper Potential Metabolite Biomarkers for Early Detection of Stage-I Pancreatic Ductal Adenocarcinoma. DOI 10.3389/fonc.2021.744667↗
- Paper Differentiation of hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma using contrast-e… DOI 10.1371/journal.pone.0211566↗
- Rui Zhao · 3 shared papers, 2019–2021 · strength 0.33
- Paper Potential Metabolite Biomarkers for Early Detection of Stage-I Pancreatic Ductal Adenocarcinoma. DOI 10.3389/fonc.2021.744667↗
- Paper Differentiation of hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma using contrast-e… DOI 10.1371/journal.pone.0211566↗
- Paper Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adeno… DOI 10.3389/fonc.2019.01171↗
- Zhonglan Wang · 3 shared papers, 2018–2020 · strength 0.33
- Paper Differentiating hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma based on CT texture… DOI 10.1177/0284185119875023↗
- Paper Differentiation of hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma using contrast-e… DOI 10.1371/journal.pone.0211566↗
- Paper The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imag… DOI 10.1186/s40644-018-0170-8↗
- Wenli Qiu · 3 shared papers, 2018–2019 · strength 0.28
- Paper Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Predicti… DOI 10.2147/cmar.s218414↗
- Paper Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adeno… DOI 10.3389/fonc.2019.01171↗
- Paper Oridonin-loaded and GPC1-targeted gold nanoparticles for multimodal imaging and therapy in pancreatic cancer. DOI 10.2147/ijn.s177993↗
- Kai Guo · 2 shared papers, 2019–2021 · strength 0.23
- Rong Chen · 2 shared papers, 2019 · strength 0.20
- Paper Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Predicti… DOI 10.2147/cmar.s218414↗
- Paper Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adeno… DOI 10.3389/fonc.2019.01171↗
- Xiaoling Zhuge · 2 shared papers, 2017–2018 · strength 0.16
- Paper The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imag… DOI 10.1186/s40644-018-0170-8↗
- Paper Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance i… DOI 10.18632/oncotarget.17309↗
- Chuangen Guo · 2 shared papers, 2017–2018 · strength 0.16
- Paper The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imag… DOI 10.1186/s40644-018-0170-8↗
- Paper Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance i… DOI 10.18632/oncotarget.17309↗
- Bo Zhu · 1 shared paper, 2021 · strength 0.16
- Zichun Hua · 1 shared paper, 2021 · strength 0.16
- Zhongqiu Wang · 1 shared paper, 2020 · strength 0.13
- Cheng Wang · 1 shared paper, 2021 · strength 0.13
- Xin Chen · 1 shared paper, 2021 · strength 0.13
- Yongkang Liu · 1 shared paper, 2021 · strength 0.13
- Jianhua Wang · 1 shared paper, 2021 · strength 0.13
- Zipeng Lu · 1 shared paper, 2021 · strength 0.13
- Tao Li · 1 shared paper, 2021 · strength 0.13
- Yingying Cao · 1 shared paper, 2021 · strength 0.13
- Zhongqiu Wang · 1 shared paper, 2019 · strength 0.11
- Jingjing Zhang · 1 shared paper, 2019 · strength 0.09
- Lina Song · 1 shared paper, 2018 · 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.