"Xu Yan" is an ambiguous name and the OpenAlex author lookup failed (429 rate limit), so no citation count, h-index, or affiliation timeline could be verified . The supplied records plausibly include at least several distinct researchers: Aixin Yan (HKU, efflux pump review), Yan Xu (Westlake, origami robotics; OCC1 provider for ovarian cancer work), and multiple Chinese-affiliated authors. Any author-level score is therefore a portfolio-level proxy, not a verified single-author assessment β a key blindspot.
The strongest entries show genuine methodological rigor: the Myo9b PNAS study combines knockout mice, AFM, SR-SIM, chemotaxis assays, and pharmacological rescue with quantified effect sizes (chemotaxis index 0.47β0.18; lamellipodial fraction 55%β7.9%), and is the only paper with recorded incoming citations (2) . The Nature Communications origami work (score 9) demonstrates seven decoupled deformation modes with theory-experiment agreement and full fabrication parameters . The dbGIST resource harmonizes 1,991 samples across 37 centers with public code and in vitro validation of MCM7 .
Quality varies sharply: the 2011 ductile cast iron paper (score 5) has only 2 references, no reported sample sizes, no quantitative statistics, and internally contradicts itself (claiming residual Mg thresholds while denying Mg is the direct control) . Recurring limitations across the portfolio: single-strain or single-model systems (CuO/Cr(VI), Pyropia), modest human cohorts (n=12 NP tissues; n=30 rats), cross-species extrapolation (mouse scRNA-seq for human CCA inference), and transcriptomic correlation without functional validation. Positive-result and publication bias likely apply throughout β reported correlations (FCTV r=.15β.50, PGK1 knockdown effects) were not preregistered or replication-confirmed . Citation impact is essentially unverified: incoming citations were recorded for only one of 16 papers.
As an aggregate, the work reflects a productive, methodologically competent, breadth-over-depth pattern (novelty 6β9, rigor 5β9), peaking in 2023β2026. Confidence is low (β4/10) for any claim about a single "Xu Yan" individual: disambiguation failure means strengths and weaknesses cannot be reliably assigned. What would change this conclusion: a working OpenAlex/ORCID retrieval confirming one identity, or full-text author lists for each DOI.
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