Danny Arends, PhD

Genetics — Northumbria University, United Kingdom

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Danny Arends, PhD Northumbria University United Kingdom
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Genetics

Subspecialties: Public Health - Endocrinology - Infectiology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

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Short Biography

I am Associate Professor in Bioinformatics within the School of Geography & Natural Sciences at Northumbria University. I graduated from the University of Groningen with a BSc in Lifescience and Technology, a MSc in Molecular Biology, and a PhD in Bioinformatics in 2014.


Prior to joining Northumbria University, I was a PostDoctoral research in Professor Gudrun A. Brockmann her lab at the Humboldt University in Berlin working on development of Bioinformatics tools for the analysis and integration of biological datasets.


During the COVID-19 pandemic I live-streamed my lectures (R programming & Bioinformatics) for MSc and PhD students on my YouTube channel (https://youtube.com/c/DannyArends).

Organizations

Career arc: 2010 - 2026

Source: PubMed

Northumbria University

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Publications Synthesis

Sources: PubMed, OpenAlex

Number : 76

Citations

Citations: 2 168 1st author: 7 Last author: 1 Unique author: 0


Best Journals

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Dynamics of genetic and somatic trade-offs in ageing and mortality.
mortality, sex
Nature Top journal20260
Relationship between intramuscular fat content in longissimus thoracis and hair fatty acids in finishing crossbred bulls.
fatty acids
Sci Rep20250
Genetic Modulation of Lifespan: Dynamic Effects, Sex Differences, and Body Weight Trade-offs.
mortality, life expectancy, sex characteristics, body weight, sex, survivorship, sex differences
bioRxiv20251
Genetic Modulation of Lifespan: Dynamic Effects, Sex Differences, and Body Weight Trade-offs
sex characteristics, body weight, sex, sex differences
bioRxiv (Cold Spring Harbor Laboratory)20250
Identification of additional body weight QTLs in the Berlin Fat Mouse BFMI861 lines using time series data.
diet, body weight, obesity, natural science disciplines
Sci Rep20241

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