Global Citation Count RDF
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- CitationCount for Identification of microRNAs and their expression in leaf tissues of guava (Psidium guajava L.) under salinity stress
- CitationCount for Identification of microRNAs from medicinal plant Murraya Koenigii by high-throughput sequencing and their functional implications in secondary metabolite biosynthesis
- CitationCount for Identification of novel pathogenic variants and novel gene-phenotype correlations in Mexican subjects with microphthalmia and/or anophthalmia by next-generation sequencing
- CitationCount for Identification of outcome-related driver mutations in cancer using conditional co-occurrence distributions
- CitationCount for Identification of Putative Candidate Genes from Galphimia spp. Encoding Enzymes of the Galphimines Triterpenoids Synthesis Pathway with Anxiolytic and Sedative Effects
- CitationCount for Identification of regulatory T cell molecules associated with severity of multiple sclerosis
- CitationCount for Identification of superior doubled haploid maize (Zea mays) inbred lines derived from high oil content subtropical populations
- CitationCount for Identification of TBX15 as an adipose master trans regulator of abdominal obesity genes
- CitationCount for Identification of the components of a complex groundwater flow system subjected to intensive exploitation
- CitationCount for Identification, characterization and expression analysis of passion fruit (Passiflora edulis) microRNAs
- CitationCount for Identifying and characterizing popular non-work destinations by clustering cellphone and point-of-interest data
- CitationCount for Identifying deforested areas through convolutional neural network for drone reforesting
- CitationCount for Identifying Digital Supply Chain Capabilities
- CitationCount for Identifying entrepreneurial interest and skills among university students
- CitationCount for Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature
- CitationCount for Identifying Researchers¿ Publication Strategies by Clustering Publication and Impact Data
- CitationCount for Identifying Short Gamma-Ray Bursts with potential delayed TeV Afterglows as possible counterparts to gravitational waves
- CitationCount for Identifying spatio-temporal hotspots of human activity that are popular non-work destinations
- CitationCount for Identifying the effect of tributyl phosphate on the growth of PbTe quantum dots: Linking experimental and theoretical approaches
- CitationCount for Identifying the mechanistic insights into PbSeO3 decomposition, during milling, to give way to PbSe: An experimental and theoretical approach
- CitationCount for Identifying the need for an indicator to quantify an economic system¿s efforts to be efficient: A State-of-the-Art Analysis
- CitationCount for Ideological Manipulation on Social Media: Harassment, Deception and Violence in the Digital Environment Manipulação ideológica nas redes sociais: assédio, fraude e violência no ambiente digital Manipulación ideológica en redes sociales: acoso, engaño y violencia en el entorno digital
- CitationCount for If i indulge first, i will eat less overall: The unexpected interaction effect of indulgence and presentation order on consumption
- CitationCount for IGF-1 modulates gene expression of proteins involved in inflammation, cytoskeleton, and liver architecture
- CitationCount for IIoT Low-Cost ZigBee-Based WSN Implementation for Enhanced Production Efficiency in a Solar Protection Curtains Manufacturing Workshop ¿
- CitationCount for IL-1¿ and MMP-9 tear levels of patients with active ocular rosacea before and after treatment with systemic azithromycin or doxycycline
- CitationCount for Ileal bezoar causing bowel obstruction mimicking an internal hernia in a patient with Roux-en-Y gastric bypass
- CitationCount for Image annotation as text-image matching: Challenge design and results
- CitationCount for Image Captioning for Automated Grading and Understanding of Ulcerative Colitis
- CitationCount for Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques