Ben Schöttker is an expert in Oncology at German Cancer Research Center (Germany). As of October 2026, ScienceLeadR ranks Ben Schöttker in the top 1% of experts worldwide for Diabetes Mellitus, Glucose Metabolism Disorders and Epidemiologic Studies. Ben Schöttker has authored 416 publications, the most recent in 2026, and is an investigator in 2 clinical trials. SLR score: 1,358 (community average: 125). How the SLR is computed.

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Ben Schöttker German Cancer Research Center Germany
1 358 ScienceLeadR Reputation 1358
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Oncology

Subspecialties: Public Health - Cardiology - Nutrition

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2009 - 2026

Source: PubMed

German Cancer Research Center

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 416

Citations

Citations: 120 125 1st author: 33 Last author: 69 Unique author: 0


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Cancer co-medication quality in older patients with polypharmacy: A large randomized trial testing a medication review versus usual care.
PMID 42773858 — research design, polypharmacy, pharmaceutical preparations, internal medicine, neoplasms, pharmacists, rehabilitation, geriatrics
J Intern Med20260
Healthy lifestyle and cancer risk: a pan-cancer analysis in the UK Biobank prospective cohort.
PMID 42744862 — life style, healthy lifestyle, neoplasms, sarcoma, overweight, smoking
Br J Cancer20260
The Association Between Gut Microbiome and Cachexia in Colorectal Cancer: A Systematic Review.
PMID 42588607 — dysbiosis, muscles, neoplasms, colorectal neoplasms, gastrointestinal microbiome, cachexia
Cancers (Basel)20260
Associations of Inherited Chromosomally-Integrated Human Herpesvirus 6 With Dementia Incidence, Inflammation, and Other Dementia Risk Factors in the UK Biobank.
PMID 42533535 — antibody formation, dementia, incidence, herpesvirus 6, human, virology, cohort studies, dementia, vascular, biomarkers, risk factors, telomere, infections
J Med Virol20260
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups.
PMID 42523604 — deep learning, learning, genetic risk score
medRxiv20260

Clinical Studies 2

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

N/A 2

By status:

Completed 1
Recruiting 1

By type:

Interventional 1
Observational 1

By Monocentric/Multicentric:

monocentric 1
multicentric2to4 0
multicentric5to9 0
multicentricup10 1

Main Topics

Cohort/Consortium Investigators 7

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