Editorial Announcement

How We Choose the Featured Paper of Each Issue

Editorial Committee

Featured Paper Selection Criteria · Methodological Rigor · Societal Impact
Featured Paper

Transnational Migration and the Reconfiguration of Diaspora Networks in East Asia

Y. Nakamura, M. Okonkwo, L. Fernández, H. Tanaka

Volume 1, Issue 1 (2026) · DOI: 10.12345/ts.2026.1.1.0001 · Open Access
Featured Paper

Digital Transformation and the Reproduction of Social Inequality in the Global South

R. Almeida, K. Novak, S. Bhattacharya, J. Lindqvist

Volume 1, Issue 1 (2026) · DOI: 10.12345/ts.2026.1.1.0002 · Open Access
Current Issue
ION Immuno-Onco-Nutrition
Immuno-Onco-Nutrition
Current Issue

Immuno-Onco-Nutrition

Aims · Scope · Publication Model

Immuno-Onco-Nutrition is a peer-reviewed journal exploring the “nutrition–immunity–cancer” network. It publishes mechanistic, translational, and clinical research on tumor immunology and the microenvironment, nutritional modulation of antitumor immunity, immunotherapy and combination strategies, and precision nutrition. By bridging fundamental discovery with clinical application, the journal advances integrated approaches to cancer prevention, treatment, and survivorship.

Research Scope
  • Tumor Immunology
  • Immune Microenvironment
  • Nutrition–Immunity Crosstalk
  • Cancer Immunotherapy
  • Combination Strategies
  • Precision Nutrition
  • Microbiome Immunity
  • Metabolic Regulation
  • Clinical Translation
  • Cancer Survivorship
3
Submissions
0
Published
88
Views
6
Scholars
0%
Acceptance

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Special Issues

Curated collections on emerging topics

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Sample Special Issue
Special Issue

[Sample] AI-Enabled Dispatch of Carbon-Neutral Power Systems

Guest Editors
Prof. L. Fernández · Dr. W. Chen · Dr. M. Okonkwo
Submission deadline: 30 Nov 2026
[Sample] Call for Papers

[Sample] AI-Enabled Dispatch of Carbon-Neutral Power Systems

Guest Editors: Prof. Lucía Fernández (TU Delft) · Dr. Wei Chen (Tsinghua University) · Dr. Michael Okonkwo (NREL)

As power systems approach full decarbonisation, system operators face unprecedented uncertainty in generation, demand and network constraints. This special issue invites original contributions on machine-learning-based forecasting and dispatch, reinforcement learning for real-time market clearing, physics-informed optimisation, and the safety, interpretability and governance of AI tools deployed in critical energy infrastructure.

Deadline: 30 November 2026 Expected publication: March 2027 Article type: Research / Review / Case Study APC: Waived