James Lindsay Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Associate Director: Knowledge Systems Group

Last publication 2025 Last refreshed 2026-05-23

faculty

22 h-index 461 pubs 4,898 cited

Biography and Research Information

OverviewAI-generated summary

James Lindsay's research focuses on the analysis and visualization of genomic and clinical data, particularly in the context of cancer. His work involves dissecting the clinicopathologic, genomic, and immunophenotypic correlates of various cancer types, including non-small cell lung cancer (NSCLC). He has investigated the association of high tumor mutation burden with immune infiltration and clinical outcomes in NSCLC, as well as the role of specific genomic alterations, such as those in the SWI/SNF family, in NSCLC patients treated with immune checkpoint inhibitors. Lindsay has also contributed to large-scale genomic data initiatives, such as the AACR Project GENIE, which aims to collect and analyze genomic and clinical data from a large number of cancer cases.

His publications also extend to other areas of cancer research, including studies on the immune determinants of CAR-T cell expansion in solid tumor patients and the evaluation of combination therapies involving immune checkpoint inhibitors and radiation for metastatic colorectal cancer. With a substantial publication record (462 publications) and a high citation count (4,749 citations), Lindsay is recognized as a highly cited researcher. His expertise spans across genomics, cancer biology, and data analysis, contributing to a deeper understanding of cancer mechanisms and potential therapeutic targets.

Metrics

  • h-index: 22
  • Publications: 461
  • Citations: 4,898

Selected Publications

  • Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models (2025)
    9 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

465 Collaborators 134 Institutions 17 Countries

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