Inferred edges come from two machine sources: sweeps of open repository
metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
Comparative transcriptome analysis of B. oleracea L. var. italica and B. macrocarpa Guss. genotypes under drought stress: de novo vs reference genome assembly
Genomic and transcriptomic profiling of radioresistant prostate and head and neck cancers implicate a BAHD1-dependent modification of DNA damage at the heterochromatin
Effect of high temperatures on sex ratio and differential expression analysis (RNA-seq) of sex-determining genes in Oreochromis niloticus from different river basins in Benin
Genetic analysis of iris pigmentation in Swiss pig breeds identifies a missense KITLG variant as a potential causal factor for pale and heterochromatic irises
Genetic analysis of iris pigmentation in Swiss pig breeds identifies a missense KITLG variant as a potential causal factor for pale and heterochromatic irises
Sexual Dimorphism in Growth Rate and Gene Expression Throughout Immature Development in Wild Type Chrysomya rufifacies (Diptera: Calliphoridae) Macquart
Identifying Key Genes as Progression Indicators of Prostate Cancer with Castration Resistance Based on Dynamic Network Biomarker Algorithm and Weighted Gene Correlation Network Analysis
Transcriptome Profiling of the Potato Exposed to French Marigold Essential Oil with a Special Emphasis on Leaf Starch Metabolism and Defense against Colorado Potato Beetle
Additional file 1 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 2 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 3 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 4 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 5 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 6 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 7 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 8 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 9 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 10 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 11 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Additional file 12 of Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Rôle des altérations génomiques et épigénomiques dans les mécanismes moléculaires à l’origine des pathologies associées aux maladies rares du métabolisme de la vitamine B12
Peer Review #1 of "TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model (v0.1)"
Peer Review #2 of "TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model (v0.1)"
Peer Review #1 of "TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model (v0.2)"
Peer Review #2 of "TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model (v0.2)"
TEffectR: an R package for studying the potential effects of transposable elements on gene expression with linear regression model
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.