ResearcherJohns Hopkins UniversityActive in the last 2 years
Daniel W. Chan
Matched on ORCID iD 0000-0002-6398-6597; OpenAlex author ID A5103203422; NIH RePORTER profile ID 6265412. Sources: OpenAlex.
Their work
- Papers
- 7
- Trials
- 0
- Grants
- 1
- Labs led
- 1
- Collaborators
- 18
2019: 1 paper · 2020: none · 2021: 2 papers · 2022: 1 paper · 2023: none · 2024: 1 paper · 2025: none · 2026: 2 papers, 1 grant
Papers 7
- High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis. Co-author DOI 10.1021/acs.analchem.5c01928↗
- A Biomarker Panel for the Detection of Pancreatic Cancer. Co-author DOI 10.3390/cancers18091397↗
- Detection of Pancreatic Ductal Adenocarcinoma-Associated Proteins in Serum. Co-author DOI 10.1016/j.mcpro.2023.100687↗
- Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s12014-022-09373-x↗
- Proteogenomic characterization of pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.cell.2021.08.023↗
- Validation of Serum Biomarkers That Complement CA19-9 in Detecting Early Pancreatic Cancer Using Electrochemiluminescent-Based Multiplex Immunoassays. Co-author DOI 10.3390/biomedicines9121897↗
- Identification of Serum Biomarker Panels for the Early Detection of Pancreatic Cancer. Co-author DOI 10.1158/1055-9965.epi-18-0483↗
Grants 1
Closest collaborators
The 18 strongest of 18 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Hui Zhang · 4 shared papers, 1 shared grant, 2022–2026 · strength 1.75
- Grant Development of a panel of multiplex biomarkers for the early detection of pancreatic ductal adenocarcinoma and high-ris… U01CA274514↗
- Paper High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis. DOI 10.1021/acs.analchem.5c01928↗
- Paper A Biomarker Panel for the Detection of Pancreatic Cancer. DOI 10.3390/cancers18091397↗
- Randall E. Brand · 2 shared papers, 1 shared grant, 2026 · strength 1.40
- Grant Development of a panel of multiplex biomarkers for the early detection of pancreatic ductal adenocarcinoma and high-ris… U01CA274514↗
- Paper High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis. DOI 10.1021/acs.analchem.5c01928↗
- Paper A Biomarker Panel for the Detection of Pancreatic Cancer. DOI 10.3390/cancers18091397↗
- Zhen Zhang · 2 shared papers, 1 shared grant, 2019–2026 · strength 1.23
- Grant Development of a panel of multiplex biomarkers for the early detection of pancreatic ductal adenocarcinoma and high-ris… U01CA274514↗
- Paper A Biomarker Panel for the Detection of Pancreatic Cancer. DOI 10.3390/cancers18091397↗
- Paper Identification of Serum Biomarker Panels for the Early Detection of Pancreatic Cancer. DOI 10.1158/1055-9965.epi-18-0483↗
- Ralph H. Hruban · 3 shared papers, 2022–2026 · strength 0.62
- Paper High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis. DOI 10.1021/acs.analchem.5c01928↗
- Paper Detection of Pancreatic Ductal Adenocarcinoma-Associated Proteins in Serum. DOI 10.1016/j.mcpro.2023.100687↗
- Paper Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses o… DOI 10.1186/s12014-022-09373-x↗
- Christine Worthington · 2 shared papers, 2026 · strength 0.54
- T. Mamie Lih · 2 shared papers, 2024–2026 · strength 0.50
- Qing Kay Li · 2 shared papers, 2022–2026 · strength 0.39
- Oliver F. Bathe · 2 shared papers, 2022–2024 · strength 0.35
- Jin Song · 2 shared papers, 2019–2021 · strength 0.29
- Jongmin Jacob Woo · 1 shared paper, 2026 · strength 0.27
- Yuefan Wang · 1 shared paper, 2026 · strength 0.27
- Amer H. Zureikat · 1 shared paper, 2026 · strength 0.27
- Aatur Dilip Singhi · 1 shared paper, 2026 · strength 0.27
- Alessandro Paniccia · 1 shared paper, 2026 · strength 0.27
- Liwei Cao · 1 shared paper, 2024 · strength 0.23
- Zhen Zhang · 1 shared paper, 2021 · strength 0.19
- Daniel Cui Zhou · 1 shared paper, 2022 · strength 0.12
- Bing Zhang · 1 shared paper, 2022 · strength 0.12
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.