ResearcherPeking UniversityNo recent work listed

Guangxi Wang

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0002-4884-2990; OpenAlex author ID A5073730933. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 7

Papers, trials and grants by year

2021: 1 paper

Papers 1

Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics. Co-author DOI 10.1126/sciadv.abh2724 ↗

Closest collaborators

The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Zipeng Lu · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗
Yinmo Yang · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗
Yan Gong · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗
Yongsu Ma · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗
Yuxin Yin · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗
Qiang Zeng · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗
Kuirong Jiang · 1 shared paper, 2021 · strength 0.10
- Paper Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and … DOI 10.1126/sciadv.abh2724 ↗

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.