ResearcherCedars-Sinai Medical CenterActive in the last 2 years
Lixia Wang
Matched on ORCID iD 0000-0002-2304-7536; OpenAlex author ID A5100442914. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 25
2016: 1 paper · 2017: none · 2018: none · 2019: none · 2020: 1 paper · 2021: none · 2022: 3 papers · 2023: none · 2024: 1 paper · 2025: 1 paper
Papers 7
- Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans. Co-author DOI 10.3390/cancers17111886↗
- An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. Co-author DOI 10.3389/fonc.2024.1378691↗
- Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. Co-author DOI 10.1097/mpa.0000000000002059↗
- Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma. Co-author DOI 10.3389/fonc.2022.1007134↗
- Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. Co-author DOI 10.3389/fonc.2022.1007990↗
- Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal adenocarcinoma. Co-author DOI 10.1002/mrm.28167↗
- Rottlerin exhibits anti-cancer effect through inactivation of S phase kinase-associated protein 2 in pancreatic cancer cells. First author PMID 27822410↗
Closest collaborators
The 25 strongest of 25 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Stephen Jacob Pandol · 6 shared papers, 2020–2025 · strength 0.93
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Srinivas Gaddam · 6 shared papers, 2020–2025 · strength 0.93
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Debiao Li · 6 shared papers, 2020–2025 · strength 0.93
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Sehrish Javed · 3 shared papers, 2022–2025 · strength 0.56
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990↗
- Touseef Ahmad Qureshi · 3 shared papers, 2022–2025 · strength 0.56
- Paper An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. DOI 10.3389/fonc.2024.1378691↗
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990↗
- Zhaoyang Fan · 3 shared papers, 2020–2022 · strength 0.37
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Paper Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. DOI 10.1097/mpa.0000000000002059↗
- Paper Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal ade… DOI 10.1002/mrm.28167↗
- Simon K. Lo · 3 shared papers, 2020–2022 · strength 0.37
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Paper Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. DOI 10.1097/mpa.0000000000002059↗
- Paper Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal ade… DOI 10.1002/mrm.28167↗
- Andrew Eugene Hendifar · 3 shared papers, 2020–2022 · strength 0.37
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Paper Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. DOI 10.1097/mpa.0000000000002059↗
- Paper Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal ade… DOI 10.1002/mrm.28167↗
- Nan Wang · 3 shared papers, 2020–2022 · strength 0.37
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Paper Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. DOI 10.1097/mpa.0000000000002059↗
- Paper Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal ade… DOI 10.1002/mrm.28167↗
- Anthony G Christodoulou · 3 shared papers, 2020–2022 · strength 0.37
- Paper Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis fro… DOI 10.3389/fonc.2022.1007134↗
- Paper Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. DOI 10.1097/mpa.0000000000002059↗
- Paper Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal ade… DOI 10.1002/mrm.28167↗
- Christie Y. Jeon · 2 shared papers, 2022–2025 · strength 0.32
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886↗
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990↗
- Vahid Yaghmai · 1 shared paper, 2025 · strength 0.18
- Temel Tirkes · 1 shared paper, 2025 · strength 0.18
- Camila Lopes Vendrami · 1 shared paper, 2025 · strength 0.18
- James Leonard Buxbaum · 1 shared paper, 2025 · strength 0.18
- Frank H. Miller · 1 shared paper, 2025 · strength 0.18
- Wolfram Goessling · 1 shared paper, 2025 · strength 0.18
- Yasmin Genevieve Hernandez-Barco · 1 shared paper, 2025 · strength 0.18
- Wansu Chen · 1 shared paper, 2022 · strength 0.14
- Wensha Yang · 1 shared paper, 2020 · strength 0.10
- Richard Tuli · 1 shared paper, 2020 · strength 0.10
- Jingna Su · 1 shared paper, 2016 · strength 0.06
- Xuyuan Yin · 1 shared paper, 2016 · strength 0.06
- Xiuxia Zhou · 1 shared paper, 2016 · strength 0.06
- Zhiwei Peter Wang · 1 shared paper, 2016 · strength 0.06
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.