Igor F Tsigelny is an expert in Biochemistry at University of California, San Diego (United States). As of October 2026, ScienceLeadR ranks Igor F Tsigelny in the top 1% of experts worldwide for Machine Learning and Artificial Intelligence. Igor F Tsigelny has authored 183 publications, the most recent in 2026. SLR score: 568 (community average: 125). How the SLR is computed.

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Igor F Tsigelny University of California, San Diego United States
568 ScienceLeadR Reputation 568
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Biochemistry

Subspecialties: Neurology - Infectiology - Oncology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 1992 - 2026

Source: PubMed

University of California, San Diego

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 183

Citations

Citations: 6 548 1st author: 35 Last author: 63 Unique author: 1


Best Journals

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
An AI-Assisted Workflow for Rapid Prioritization of FDA-Approved Drugs as HDAC3 Inhibitor Candidates for Drug Repurposing.
PMID 42792516 — genes, pharmaceutical preparations, workflow, neoplasms, machine learning, therapeutics, artificial intelligence, histone deacetylase 3
Biology (Basel)20260
Machine Learning and Functional Analysis of Placental DNA Methylation Signatures for Early-Onset Preeclampsia.
PMID 42722973 — genes, adipogenesis, pregnancy, reproduction, pre-eclampsia, machine learning, dna methylation, learning, tissues
Reprod Sci20260
Comparative Screening of Alzheimer's Disease, Lewy Body Dementia, and Frontotemporal Dementia Using miRNA and Machine Learning.
PMID 42502242 — genes, dementia, lewy bodies, frontotemporal dementia, alzheimer disease, micrornas, lewy body disease, biomarkers, machine learning, signs and symptoms, learning, computer simulation
Int J Neural Syst20260
Exploratory Machine Learning Analysis of circRNA-Derived Molecular Features in Autism Spectrum Disorder.
PMID 42200949 — genes, autism spectrum disorder, rna, circular, autistic disorder, machine learning, learning
Noncoding RNA20260
Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection.
PMID 41441042 — research design, fibromyalgia, sars-cov-2, fatigue syndrome, chronic, machine learning, covid-19, metabolomics, diagnosis, learning, severe acute respiratory syndrome-related coronavirus, infections, post-acute covid-19 syndrome
Metabolites20250

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