Phenomics

Scope & Guideline

Connecting Science and Nature through Phenomic Research.

Introduction

Immerse yourself in the scholarly insights of Phenomics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2730-583x
PublisherSPRINGERNATURE
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationPHENOMICS / Phenomics
Frequency-
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

The journal 'Phenomics' focuses on the interdisciplinary study of phenotypes in relation to human health and disease, integrating various biological and clinical data to explore the complexities of human conditions. It emphasizes innovative methodologies and approaches to understand the phenotypic variability associated with genetic, environmental, and lifestyle factors.
  1. Integrative Phenomic Research:
    The journal emphasizes the integration of phenomic data with genomic, proteomic, and metabolomic information to unveil the multifactorial nature of diseases and health conditions.
  2. Clinical Applications of Phenotyping:
    Research published in 'Phenomics' often explores the clinical implications of phenotyping, including its role in personalized medicine, disease prediction, and therapeutic interventions.
  3. Methodological Innovations:
    The journal highlights advancements in methodologies for phenotyping, including imaging techniques, high-throughput data analysis, and machine learning applications.
  4. Focus on Multimodal and Multi-Omics Approaches:
    There is a strong emphasis on multimodal approaches that combine various data types, such as clinical data, imaging, and omics data, to provide comprehensive insights into health and disease.
  5. Cultural and Ethnic Considerations in Phenomic Studies:
    The journal also addresses the importance of cultural and ethnic diversity in phenomic research, particularly in the context of traditional medicine and population-specific health issues.
The journal 'Phenomics' is witnessing a shift towards several trending and emerging themes that reflect advancements in technology and a deeper understanding of human health. These themes highlight the evolving landscape of phenomic research.
  1. Cancer Immunotherapy and Phenotyping:
    There is a growing focus on the role of phenotyping in cancer immunotherapy, particularly regarding the immune microenvironment and personalized treatment strategies.
  2. Microbiome Research:
    Research on the human microbiome and its implications for health and disease is increasingly prevalent, emphasizing its role in metabolism, immunity, and chronic diseases.
  3. Machine Learning and AI in Phenomics:
    The integration of machine learning and artificial intelligence in phenomic research is on the rise, particularly in analyzing complex data sets and enhancing diagnostic accuracy.
  4. Aging and Age-Related Diseases:
    Studies focusing on aging and age-related diseases are emerging, reflecting an increased interest in understanding the phenotypic changes associated with aging and their implications for health.
  5. Personalized and Precision Medicine:
    The trend towards personalized and precision medicine is evident, with research increasingly emphasizing individualized approaches based on phenotypic data and genetic profiles.

Declining or Waning

While 'Phenomics' continues to thrive in several key areas, some themes appear to be waning in prominence. This may reflect shifts in research focus or advancements in technology that render previous approaches less common.
  1. Traditional Diagnostic Methods:
    There is a noticeable decline in research focused on traditional diagnostic methods, as newer technologies and methodologies are increasingly preferred for their accuracy and efficiency.
  2. Single-Omic Studies:
    Research focusing on single-omic approaches (e.g., genomics alone) is becoming less common, with a trend towards integrating multiple omics for a more holistic understanding of phenotypes.
  3. Generalized Disease Models:
    Studies that utilize generalized models for disease without considering individual phenotypic variations are appearing less frequently, as the emphasis shifts towards personalized and precision medicine.
  4. Exploratory Studies without Clinical Application:
    Exploratory studies that do not directly translate to clinical applications are becoming less prevalent, as the journal increasingly prioritizes research with immediate relevance to patient care and outcomes.
  5. Basic Biological Mechanisms:
    There appears to be a waning interest in basic biological mechanisms without a direct link to phenotypic expression or clinical relevance, as more applied research takes precedence.

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