WOS
Verified Peer-Review Record
Explore my publicly documented peer-review contributions through my Web of Science Researcher Profile.
View Web of Science RecordScientific serviceEvidence appraisal
100+ peer reviews completed across international journals.
My peer-review work focuses on methodological validity, reproducibility, statistical design, causal inference, mechanistic calibration, and data-to-claim alignment. The aim is to provide reviews that are rigorous enough for editorial decision-making and constructive enough to help authors strengthen the scientific record.
Elsevier100REVIEWS
01
Phytomedicine — Elsevier
100 completed peer reviews for Phytomedicine between November 2025 and October 2026, formally recognized by the Editors of Phytomedicine through an Elsevier Certificate of Reviewing.
- Mechanistic phytomedicine · multi-omics · systems pharmacology
- Network pharmacology · experimental validation · evidence–claim calibration
02
Systems Ethnopharmacology and Sustainable Bioresources — Elsevier
Review focus across natural bioresources, ethnopharmacology, experimental evaluation, and extract or formulation characterization and reproducibility.
03
Applied Biochemistry and Biotechnology — Springer Nature
Review focus across bioprocess engineering, biotechnology, process optimization, experimental design, and data interpretation.
04
Toxicology Research — Oxford University Press
Review focus across nanotoxicology, systemic toxicity, oxidative stress, and experimental toxicology.
05
RSC Advances — Royal Society of Chemistry
Review focus across chemical identity, analytical provenance, evidence–claim alignment, and experimental validation.
ROLE
Recognized reviewer roles
Reviewer-pool membership is presented as scientific service, not as an editorial-board appointment.
- Royal Society of Chemistry — Member of the Official Reviewer Pool
- Oxford University Press / Toxicology Research — Member of the Official Reviewer Pool
METHOD
Reviewer approach
A consistent framework for assessing study validity and aligning interpretation with the evidence presented.
- Experimental unit and replication audit
- Controls and comparator validity
- Statistical design and multiplicity
- Method–result consistency
- Mechanistic claim calibration
- Computational prediction vs experimental validation
- Multi-omics and pathway interpretation
- Reproducibility and transparent limitations