ResearcherMassachusetts General HospitalNo recent work listed

Mark Anderson

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

Matched on ORCID iD 0000-0002-6144-9093; OpenAlex author ID A5041240101. Sources: OpenAlex.

Their work

Papers: 2 (first author 1, last author 0)
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2020: 1 paper · 2021: none · 2022: none · 2023: 1 paper

Papers 2

MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness? Co-author DOI 10.3390/cancers15082313 ↗
Imaging-based Risk Scores for Treatment Selection in Early Pancreatic Cancer: A Step Forward for Tailored Treatment. First author DOI 10.1148/radiol.2020202567 ↗

Closest collaborators

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

Pari V. Pandharipande · 1 shared paper, 2020 · strength 0.24
- Paper Imaging-based Risk Scores for Treatment Selection in Early Pancreatic Cancer: A Step Forward for Tailored Treatment. DOI 10.1148/radiol.2020202567 ↗
Theodore Sunki Hong · 1 shared paper, 2023 · strength 0.19
- Paper MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness? DOI 10.3390/cancers15082313 ↗
Vinit Baliyan · 1 shared paper, 2023 · strength 0.19
- Paper MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness? DOI 10.3390/cancers15082313 ↗
Yoshifumi Noda · 1 shared paper, 2023 · strength 0.19
- Paper MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness? DOI 10.3390/cancers15082313 ↗
Avinash R. Kambadakone · 1 shared paper, 2023 · strength 0.19
- Paper MRI-Based Tumor Necrosis Depiction in Pancreatic Ductal Adenocarcinoma: Can It Predict Tumor Aggressiveness? DOI 10.3390/cancers15082313 ↗

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.