The primary OpenAlex cluster for Kiavash Hushmandi (A5041093222) reports 315 works, 22,270 citations, and an h-index of 69; the Semantic Scholar-style author profile lists h-index 64 with 14,333 citations across 322 papers β a discrepancy reflecting database fragmentation, since several secondary OpenAlex clusters (h-index 0β4) split his record. Output accelerated sharply from 2020 onward, peaking at 68 works in 2025, with citations per year rising from 731 (2021) to ~7,817 (2025). This trajectory is dominated by two pillars: (1) Global Burden of Disease (GBD) consortium papers in The Lancet, including the flagship 371-disease burden analysis with 5,091 citations and the GBD 2023 risk-factor analysis ; and (2) narrative/systematic reviews in cancer molecular biology, notably a 564-citation exosome review in Journal of Hematology & Oncology and EMT/cisplatin-resistance work .
His highest-independence contributions appear in regional epidemiology (Iran cancer incidence trends, TB surveillance, COVID-19 clinical cohorts from Kerman/Jiroft) and translational reviews on non-coding RNAs, autophagy, and drug resistance. A high-impact recent review in Molecular Cancer (279 citations) on glioblastoma signaling demonstrates capacity for authoritative synthesis . The breadth across oncology, diabetes, nanomedicine, and public health indicates strong collaborative networks and synthesis skills.
Several serious concerns temper the bibliometric picture. First, multiple retractions: the supplied record contains at least five retraction notices, including the 403-citation AMPK/diabetes review , plus retractions concerning paclitaxel/docetaxel resistance (twice), NF-kB/diabetic complications (Heliyon), and gene regulation by antisense transcription. Retraction of >400-citation work is a material integrity signal. Second, extreme volume (68 papers in 2025; >300 total in ~8 years) with predominantly review articles and consortium middle-authorship suggests assembly-line review production rather than deep original research; most supplied papers are reviews, systematic reviews, or meta-analyses, with comparatively few primary experimental studies. Third, citation inflation from GBD consortium authorship means the h-index overstates individual scientific contribution. Fourth, affiliation data are inconsistent (University of Tehran vs Shiraz/Kerman entries), and the primary OpenAlex cluster lists no primary institution. GBD methodology itself relies on model-based estimation with known limitations in low-data regions, which the consortium acknowledges.
Hushmandi is a highly productive, well-networked review author and consortium contributor with genuinely useful synthesis output and strong regional epidemiology work, but his metrics are inflated by large-group authorship and his record carries an unusual density of retractions that warrant caution when citing his review literature. Confidence: moderate β based solely on the supplied metadata; full-text quality audits and retraction reasons are not available here.
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