Overview
Physiological signals are measurable biological indicators that reflect the functional state of cells, tissues, organs, or entire organisms, encompassing biochemical markers, genetic variations, and regulatory mechanisms that govern bodily processes. Research published in International Physiology Journal on this topic addresses diverse aspects of these signals, from molecular-level genetic variants that may influence disease susceptibility to complex regulatory systems that coordinate daily physiological rhythms. Published work has examined specific genetic sequence variations and their potential clinical implications through structural and functional analysis, explored fundamental questions about biological organization and evolutionary processes that shape physiological systems, and investigated the endocannabinoid system's role in circadian rhythm regulation and sleep-wake cycles. This research matters because understanding physiological signals is essential for interpreting how the body maintains homeostasis, responds to environmental changes, and develops pathological conditions. By characterizing these signals at multiple scales—from individual genetic variants to system-wide regulatory networks—researchers can better understand normal physiological function and identify potential targets for therapeutic intervention in conditions ranging from sleep disorders to genetically influenced diseases.
Research published in this journal
3 peer-reviewed articles, ranked by relevance. Each links to its DOI.
Conservation, Creation, and Evolution: Revising the Darwinian Project
Exploring the Endocannabinoid System: From Circadian Rhythms to Sleep Regulation and Potential Therapeutic Insights
How this research is being cited
The 3 articles above have been cited 28 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2025 · Communications Biology
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2025 · Artificial Life
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2025 · Scientific Reports
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2025 · Communications Biology
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2025 · Ethical Review of Social Sciences
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2025 · Scientific Reports
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2024 · Nature Communications
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2024 · SSRN Electronic Journal
A sample of recent works citing this journal's research on Physiological Signals, linking to each citing work.