Academic Journal
Q1Cell Genomics
About Cell Genomics
Cell Genomics is a scholarly journal published by Cell Press. SCImago 2025 places it in Q1 with an SJR of 6.518 and an H-index of 41.
Its listed coverage is 2021-2026 and its research categories include Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1); Genetics (Q1). The 2025 dataset reports 160 documents and 3168 citations across the latest three-year reporting window.
Cell genomics is a cutting-edge field in molecular biology that focuses on the study of genomes at the single-cell level. Unlike traditional genomics, which analyzes large populations of cells, cell genomics provides a high-resolution view of the genetic information and activity within individual cells. This approach allows researchers to understand cellular diversity, uncover disease mechanisms, and drive innovation in personalized medicine.
What is Cell Genomics?
Cell genomics involves sequencing and analyzing the DNA, RNA, and other molecular components of individual cells. With advanced technologies such as single-cell RNA sequencing (scRNA-seq) and single-cell DNA sequencing, scientists can explore gene expression, mutations, and cellular function with unprecedented precision.
This granular analysis is essential because even within the same tissue, cells can differ significantly. These differences can influence how cells respond to stimuli, develop into specific types, or contribute to diseases such as cancer.
Key Applications of Cell Genomics
1. Cancer Research:
One of the most impactful applications of cell genomics is in oncology. Tumors are composed of heterogeneous cells with different genetic profiles. By using single-cell genomic analysis, researchers can identify rare cancer cell types, track tumor evolution, and develop targeted therapies.
2. Immunology:
Cell genomics enables a deeper understanding of the immune system by characterizing the diverse types of immune cells and their responses to infections, vaccines, or autoimmune conditions. This helps in the development of more effective immunotherapies.
3. Neuroscience:
In brain research, single-cell genomics has helped classify different types of neurons and glial cells, providing insights into neurological disorders such as Alzheimer's, Parkinson’s, and autism.
4. Developmental Biology:
By examining individual cells during embryonic development, scientists can trace how different cell types form and how developmental disorders occur at the genetic level.
5. Precision Medicine:
Cell genomics is paving the way for personalized medicine by enabling treatments tailored to the genetic makeup of an individual's cells. This approach improves treatment outcomes and minimizes side effects.
Future of Cell Genomics
As technology continues to evolve, cell genomics is becoming faster, more affordable, and more accurate. Innovations in bioinformatics, machine learning, and high-throughput sequencing are making it possible to analyze millions of cells simultaneously. This scalability will accelerate discoveries across biology and medicine.
Furthermore, integrating cell genomics data with other "omics" approaches—like proteomics and metabolomics—will provide a more comprehensive understanding of cellular function and disease mechanisms.
Journal Metrics
Metrics can change by reporting year. Verify time-sensitive values with the publisher or indexing service.
Aims & Scope
At Scope Cell Genomics, we are at the forefront of a genomic revolution, empowering researchers, clinicians, and healthcare providers with cutting-edge tools and insights to decode the complexities of human biology. Our mission is to harness the power of genomics to enable precision medicine, personalized healthcare, and transformative research across the globe.
What We Do
Scope Cell Genomics specializes in advanced genomic technologies, offering a wide range of services including whole genome sequencing, transcriptomics, single-cell RNA sequencing, and bioinformatics analysis. Our integrated platforms and expert teams support everything from discovery research to clinical diagnostics, enabling data-driven decisions in oncology, rare diseases, immunology, and beyond.
Our Genomic Services
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Whole Genome and Exome Sequencing: Unlock the full potential of genomic data with our high-throughput sequencing solutions. We provide accurate, deep, and cost-effective sequencing to aid in identifying genetic variants, mutations, and biomarkers.
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Single-Cell Sequencing: Gain unparalleled insights into cellular heterogeneity. Our single-cell RNA-seq and ATAC-seq services enable researchers to explore gene expression at the single-cell level, essential for understanding development, disease progression, and immune responses.
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Transcriptome Analysis: Understand gene expression patterns with our RNA sequencing services. We deliver comprehensive insights into transcriptional activity, helping researchers uncover mechanisms of disease and identify therapeutic targets.
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Custom Bioinformatics Solutions: Our bioinformatics team offers tailored data analysis, visualization, and interpretation to turn complex genomic data into actionable insights. We also provide support for multi-omics integration and AI-driven predictive modeling.
Why Choose Scope Cell Genomics?
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State-of-the-Art Technology: We utilize the latest sequencing platforms, such as Illumina NovaSeq and 10x Genomics, to ensure accuracy, depth, and scalability.
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Expertise You Can Trust: With a team of seasoned scientists, geneticists, and data analysts, we provide not just data, but deep scientific insight.
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Customizable Solutions: Whether you're a research institution, pharmaceutical company, or clinical lab, our services are designed to meet your specific goals and challenges.
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Fast Turnaround Times: We prioritize efficiency without compromising quality, enabling quicker project completion and timely results.
Driving Innovation in Genomic Medicine
Scope Cell Genomics is committed to pushing the boundaries of what’s possible in precision health. Our partnerships with academic institutions, hospitals, and biotech firms allow us to remain at the cutting edge of innovation. From early discovery to clinical applications, we are transforming how the world understands and treats disease.
Get in Touch
Explore the future of genomics with Scope Cell Genomics. Whether you need high-throughput sequencing, advanced data analysis, or strategic consultation, we’re here to help you accelerate discovery and improve patient outcomes.
Recent Research Articles
Latest publications matched automatically by ISSN.
Chromatin topology and distal elements underlie divergent cell-type-specific regulation of 9p21 locus cell cycle genes
Elena Torlai Triglia, Tyler E. Miller, Neva C. Durand, Kyung Lock Kim et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101304Single-library chromosome-scale diploid assemblies of vole genomes resolve a species-specific duplication implicated in pair bonding
Mohamed Abuelanin, Gulhan Kaya, Juniper A. Lake, Christine Lambert et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101336Polygenic risk scores and plasma proteomics identify cancer-related proteins and trans-regulated protein networks
Diptavo Dutta, Jingning Zhang, Xinyu Guo, Rosamund Quint et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101322Optimized parameters for CRISPR-Cas9 interference library design
Smriti Srikanth, Fengyi Zheng, Laura M. Drepanos, Spencer T. Shah et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101338Haplotype-resolved DiMeLo-seq maps centromeric chromatin in a complete diploid human genome
Yuan Xu, Hailey Loucks, Julian Menendez, Fedor Ryabov et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101324Reporting and representation of population descriptors in public RNA-seq databases
Irene Gallego Romero, Grace Rodenberg, Audrey M. Arner, Lani Li et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101326Are different populations fairly represented in single-cell omic atlases?
Catrina Yang, Kavitharini Saravanan, Aryan Saharan, Kuan-lin Huang et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101300PlantCAD2: A DNA foundation model for interpreting genomes across flowering plants
Jingjing Zhai, Aaron Gokaslan, Sheng-Kai Hsu, Szu-Ping Chen et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101329scXpand: Pan-cancer detection of T cell clonal expansion from single-cell RNA sequencing without paired single-cell TCR sequencing
Ofir Shorer, Ron Amit, Keren Yizhak
2026-08 · DOI: 10.1016/j.xgen.2026.101328Identifying independent causal cell types for human diseases and risk variants
Artem Kim, Zixuan Eleanor Zhang, Come Legros, Hongbo Wang et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101325Finishing a complete giraffe genome from telomere to telomere with Verkko-Fillet
Juhyun Kim, Benjamin D. Rosen, Sarah E. Fumagalli, Kristen L. Kuhn et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101279Compound delivery of eVLPs enhances prime editing for targeted genome engineering and high-throughput screening
Jethro Langley, Lou Baudrier, Jada Curry, Kiran Narta et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101302A cross-vertebrate single-cell and spatial atlas reveals evolutionary trajectories of gastrointestinal cellular innovation
Lidong Guo, Baichuan Tong, Xiaomin Gao, Xiaodong Jia et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101335Cooperativity enables widespread role of low-affinity motifs in chromatin accessibility and increases regulatory potential
Melanie Weilert, Kaelan J. Brennan, Khyati Dalal, Sabrina Krueger et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101339On the ancestry and evolution of the extinct dire wolf
Gregory L. Gedman, Kathleen Morrill Pirovich, Jonas Oppenheimer, Chaz Hyseni et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101306Telomere-to-telomere genome assembly and a pangenome for the rat
Kai Li, Julia L. Ciosek, Sergey Koren, Adam M. Phillippy et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101281Agentic genomics: From pipeline automation to autonomous validation
Manuel Corpas, Heinner Guio, Segun Fatumo
2026-08 · DOI: 10.1016/j.xgen.2026.101305Single-cell 3D genome imaging shows super-enhancer hubs are rare, nonspecific, and neither necessary nor sufficient for transcriptional bursting
Derek J. Le, Antonina Hafner, Achuthan Raja Venkatesh, Tee Udomlumleart et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101331Single-cell transcriptomics provides insights into the stress-immune interplay and informs disease risk
Sofia Benavides, Oksana Kosyk, Haiyang Wang, Alexander G. Bastian et al.
2026-08 · DOI: 10.1016/j.xgen.2026.101330T2T voices: Adam Phillippy, Karen Miga, and Yafei Mao
Adam Phillippy, Karen Miga, Yafei Mao
2026-08 · DOI: 10.1016/j.xgen.2026.101334Reviews
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April 13, 2025 at 4:39 am
April 13, 2025