James R. Lindsay
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Associate Director: Knowledge Systems Group
Also affiliated: Northwestern University (1989); Brigham and Women's Hospital (2023–2024); Agricultural Research Service (2021–2022); DuPont (United States) (1989); United States Department of Agriculture (2021–2022); Harvard University (2021–2025); University of Connecticut (2011–2016); University of Leicester (2009); Queen Mary University of London (2024); Barts Health NHS Trust (2021); California Pacific Medical Center (1995); Cambridge University Hospitals NHS Foundation Trust (2013); Forth Valley Royal Hospital (2014); Worcestershire Royal Hospital (2015); Dana-Farber Cancer Institute (2016–2025); Beltsville Agricultural Research Center (2022); Addenbrooke's Hospital (2013); Dana-Farber Brigham Cancer Center (2023–2024)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
James R. Lindsay's research focuses on the analysis and visualization of large-scale genomic and clinical data, particularly in the context of cancer research. He is involved in initiatives such as the AACR Project GENIE, an international consortium aimed at advancing precision medicine through the collection and analysis of comprehensive genomic and clinical data from cancer patients. This work involves developing methods for visualizing longitudinal genomic and clinical information, as demonstrated in his recent publications on the cBioPortal platform.
His work also investigates the relationship between genomic characteristics and clinical outcomes. This includes studies on non-small cell lung cancers (NSCLC), examining how tumor mutation burden, specific gene alterations like SMARCA4, and immune infiltration correlate with responses to therapies such as PD-L1 blockade. Additionally, Lindsay contributes to research on immune determinants of CAR-T cell expansion in solid tumor patients and has been involved in studies related to Crohn's disease treatment.
With a h-index of 23 and over 5,200 citations across 459 publications, Lindsay is recognized as a highly cited researcher. His active laboratory website indicates ongoing research activities and contributions to the scientific community.
Metrics
- h-index: 23
- Publications: 456
- Citations: 5,001
Positions
-
Director of Software 2015–presentDana-Farber Cancer Institute Data Science ORCID
-
Associate Director: Knowledge Systems Group publications 2025University of Arkansas at Fayetteville Listing
Selected Publications
-
Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models (2025)
Collaboration Network
Top Collaborators
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
- Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models
Similar Researchers
Based on overlapping research topics