The supplied Semantic Scholar profile lists 24 papers with an h-index of 1 and only 2 total citations, dominated by conference abstracts (OC/SC/P-numbered HIV/antiretroviral items). The OpenAlex record for the same name shows 21 works, an h-index of 15, and 1,141 citations . These cannot both fully describe one career stage; either name disambiguation is fragmenting/merging records across Semantic Scholar and OpenAlex, or two researchers (a HIV-clinical researcher and a preclinical neuroscientist) are conflated. Any assessment must hold both possibilities open.
The citation weight is concentrated in five works. A mouse study showing antibiotic-induced microbiota disruption causing gut endocannabinoidome changes, hippocampal reorganization and depressive-like behavior accrued 367 citations , a review on amygdala neuropeptides and chronic pain affective behaviors reached 215 citations , and an optogenetics-first-author paper manipulating CeA-CRF neurons modulated pain- and anxiety-like behaviors . Additional cited outputs include HCAR2/ketone neuropathic pain work (67), mGluR reviews (63, 38) including first-author syntheses , and a 2025 BDNF-pain review already at 34 citations .
Strengths: consistent co-authorship with leading pain groups (Neugebauer, Porreca, Maione), first-author and middle-author roles in journals of solid standing (Neuropharmacology, Brain Behavior and Immunity, Neurobiology of Disease), methodological breadth (optogenetics, behavioral pharmacology, animal models). Limitations: most high-citation work is preclinical rodent research, so translational reach is unproven; the 2020 review's citations partly reflect senior co-authors' standing; OpenAlex may over-merge or under-count. Unknowns: no affiliation data in OpenAlex for verification, no full Semantic Scholar work-level metadata to confirm which profile is the same person, and the HIV abstracts' author identity cannot be confirmed from the supplied data. Confidence in the neuroscience-impact assessment is moderate; confidence that both datasets describe one person is low.
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