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Career trajectory and citation metrics

OpenAlex records Florian Wilfling (ORCID 0000-0002-6559-7261) with 81 works, ~3,894 citations, and an h-index of 21, peaking in 2013 (~1,234 citations that year). His most-cited first-author work, on triacylglycerol synthesis enzymes mediating lipid droplet growth (Developmental Cell, 833 citations), anchors a highly influential early-career phase in lipid-droplet biology Lipid droplet growth paper, followed by mechanistic follow-ups on phosphatidylcholine synthesis and Arf1/COPI acting on lipid droplets Arf1/COPI lipid droplet paper. A noted discrepancy: the Semantic Scholar fragment supplied (h-index 3, 3 papers on BH3-only apoptotic proteins) appears to be a name-disambiguation artifact, inconsistent with the OpenAlex record — a known entity-resolution blindspot.

After moving to the Max Planck Institute of Biochemistry, his output shifted to in situ structural biology of autophagy: selective autophagy of phase-separated endocytic deposits (Molecular Cell, 123 citations) and in-cell nuclear pore architecture (Nature, 214 citations) Autophagy of condensates paper.

Scientific strength of the 2026 flagship work

As ERC-funded PI (AutoClean, IntrinsicReceptors, MultiMotif), Wilfling led an unusually integrative study combining 3D correlative FIB-milling cryo-ET, in situ atomic model building (4.0–4.5 Å for WT), AlphaFold/MD/umbrella sampling, coarse-grained patchy-particle simulations, and in vitro FRAP. Key quantitative results: tetrahedral Ape1 dodecamers with 11.8 ± 0.1 nm edges; condensate interior concentration of 327 ± 27 mg/mL (WT) vs 309 ± 34 mg/mL (P22L); propeptide interaction EC50 shifted from >1000 nM (WT) to 171 nM (P22L), supporting a liquid-to-glass transition with preserved local dodecamer structure (both 5.6 Å STA resolution) Ape1 condensate architecture preprint.

Caveat: the EC50 difference spans different orders of magnitude than the other metrics; a single linear axis compresses it — inspect raw values above.

Critical assessment

Strengths: methodological breadth rarely assembled in one group; explicit falsification criteria; declared no competing interests; ≥3 biological replicates; robust mesoscale effects. Blindspots: N-terminal propeptide residues 1–37 unresolved; potential template-matching bias; heavy reliance on AlphaFold predictions for disordered regions; rapamycin-induced overexpression may not reflect native condensate physiology; small cryo-ET sample sizes (n=4 WT, n=7 P22L tomograms); generality beyond yeast Ape1 untested. Confidence in this assessment: moderate-to-high for the reported work, limited by the preprint status and missing peer review.

 BGPT Author Review

Scientific Quality

Strong track record: highly cited first-author lipid droplet papers (833 and 307 citations), Nature/Molecular Cell structural autophagy work, ERC grants as PI, and a technically ambitious 2026 preprint integrating cryo-ET, MD, and simulations with quantitative rigor and falsification criteria. Deductions: preprint status, reliance on AlphaFold for disordered regions, small tomogram counts, and untested generality beyond yeast. Not yet at h-index of senior field leaders, but trajectory is excellent.

Communication Quality

Papers are dense but well-organized with clear quantitative reporting and explicit limitations sections. The breadth of methods (cryo-ET to patchy-particle simulations) demands expert readership; accessibility to broader audiences is limited. Preprint lacks journal editorial polish checks.

Author Novelty

Molecular-resolution in situ structure of an autophagic condensate and a single-residue liquid-to-glass mechanism is genuinely new, extending the sticker-spacer framework with direct cellular evidence. Conditional novelty: builds on established condensate and phase-separation concepts rather than opening a wholly new field.

Scientific Rigor

Multiple orthogonal methods, ≥3 replicates, reported SDs, falsification criteria, and no competing interests declaration. Deductions: n=4/7 tomograms is small, residues 1-37 unresolved, template-matching bias risk, overexpression artifact potential, and coarse-grained simulations may miss cellular factors.