ResearcherChinese University of Hong KongNo recent work listed

Lin Zhang

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0003-1634-3780; OpenAlex author ID A5100351921. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2012: 1 paper · 2013: none · 2014: none · 2015: none · 2016: none · 2017: none · 2018: none · 2019: 1 paper

Papers 2

Translational genomics in pancreatic ductal adenocarcinoma: A review with re-analysis of TCGA dataset. Co-author DOI 10.1016/j.semcancer.2018.04.004 ↗
Distinguishing pancreatic cancer from chronic pancreatitis and healthy individuals by (1)H nuclear magnetic resonance-based metabonomic profiles. Co-author DOI 10.1016/j.clinbiochem.2012.05.012 ↗

Closest collaborators

The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Gary Tse · 1 shared paper, 2019 · strength 0.09
- Paper Translational genomics in pancreatic ductal adenocarcinoma: A review with re-analysis of TCGA dataset. DOI 10.1016/j.semcancer.2018.04.004 ↗
Jeffery Ho · 1 shared paper, 2019 · strength 0.09
- Paper Translational genomics in pancreatic ductal adenocarcinoma: A review with re-analysis of TCGA dataset. DOI 10.1016/j.semcancer.2018.04.004 ↗
William Ka Kei Wu · 1 shared paper, 2019 · strength 0.09
- Paper Translational genomics in pancreatic ductal adenocarcinoma: A review with re-analysis of TCGA dataset. DOI 10.1016/j.semcancer.2018.04.004 ↗
Kaichun Wu · 1 shared paper, 2012 · strength 0.03
- Paper Distinguishing pancreatic cancer from chronic pancreatitis and healthy individuals by (1)H nuclear magnetic resonance-b… DOI 10.1016/j.clinbiochem.2012.05.012 ↗
Daiming Fan · 1 shared paper, 2012 · strength 0.03
- Paper Distinguishing pancreatic cancer from chronic pancreatitis and healthy individuals by (1)H nuclear magnetic resonance-b… DOI 10.1016/j.clinbiochem.2012.05.012 ↗

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.