Martin C Tammemägi is an expert in Oncology at Brock University (Canada). As of October 2026, ScienceLeadR ranks Martin C Tammemägi in the top 1% of experts worldwide for Lung Neoplasms and Thoracic Neoplasms. Martin C Tammemägi has authored 184 publications, the most recent in 2026, and is an investigator in 7 clinical trials. SLR score: 821 (community average: 125). How the SLR is computed.

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Martin C Tammemägi Brock University Canada
821 ScienceLeadR Reputation 821
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Oncology

Subspecialties: Pulmonology - Public Health - Gynecology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Expert Rankings

Top experts on the MeSH terms this expert works on

Organizations

Career arc: 1998 - 2026

Source: PubMed

Brock University

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 184

Citations

Citations: 20 850 1st author: 21 Last author: 17 Unique author: 9


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
A Game-Changing 20 Years: Progress and Future Directions in Lung Cancer Screening.
PMID 41651571 — mortality, lung, thoracic neoplasms, neoplasms, biomarkers, lung neoplasms
J Thorac Oncol20260
Clinical Validation of a Cell-Free DNA Fragmentome Assay for Augmentation of Lung Cancer Early Detection-Letter.
PMID 41645707 — cells, lung, early detection of cancer, neoplasms, cell-free nucleic acids, lung neoplasms, dna
Cancer Discov20260
Eligibility and Prognostic Performance of Smoking Duration-Based Versus Pack-Year-Based U.S. National Lung Cancer Screening Criteria Across Racial and Ethnic Groups.
PMID 41397256 — lung, internal medicine, neoplasms, lung neoplasms, smoking, sensitivity and specificity
Ann Intern Med20250
Improving ovarian cancer risk assessment using a machine learning model developed on data from the Prostate Lung Colorectal Ovarian Cancer Screening Trial.
PMID 41339202 — lung, incidence, risk assessment, ovary, genital neoplasms, female, neoplasms, prostate, algorithms, machine learning, ovarian neoplasms, learning, history
Int J Gynecol Cancer20250
Protocol for an observational cohort study integrating real-world data and microsimulation to assess imaging surveillance strategies in stage I-IIIA NSCLC patients in OneFlorida.
PMID 41022445 — ethics committees, research, lung, neoplasms, cohort studies, carcinoma, non-small-cell lung, lung neoplasms, therapeutics
BMJ Open20250

Clinical Studies 7

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

N/A 5
Phase 3 2

By status:

Completed 3
Active not recruiting 2
Unknown 2

By type:

Interventional 6
Observational 1

By Monocentric/Multicentric:

monocentric 3
multicentric2to4 1
multicentric5to9 2
multicentricup10 1

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