Salomonis, Nathan
Cincinnati Children's Hospital Medical Center · University of Cincinnati
13 papers on CoChatORCID 0000-0001-9689-2469
Most cited papers
- Verified
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice
Olsson, A., Venkatasubramanian, M., Chaudhri, V. K., Aronow, B. J., Salomonis, N., Singh, H., & Grimes, H. L. (2016) · Nature
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 476
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Granulocyte-Monocyte Progenitors and Monocyte-Dendritic Cell Progenitors Independently Produce Functionally Distinct Monocytes
Yáñez, A., Coetzee, S. G., Olsson, A., Muench, D. E., Berman, B. P., Hazelett, D. J., Salomonis, N., Grimes, H. L., & Goodridge, H. S. (2017) · Immunity
Immune cells in cancerImmunotherapy and Immune Responses
Cited by 470
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The Human Cell Atlas bone marrow single-cell interactive web portal
Hay, S. B., Ferchen, K., Chetal, K., Grimes, H. L., & Salomonis, N. (2018) · Experimental Hematology
Single-cell and spatial transcriptomicsHematopoietic Stem Cell Transplantation
Cited by 256
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Time- and exercise-dependent gene regulation in human skeletal muscle
Zambon, A. C., McDearmon, E. L., Salomonis, N., Vranizan, K. M., Johansen, K. L., Adey, D., Takahashi, J. S., Schambelan, M., & Conklin, B. R. (2003) · Genome Biology
Circadian rhythm and melatoninMuscle Physiology and Disorders
Cited by 254
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DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data
DePasquale, E. A. K., Schnell, D. J., Van Camp, P.-J., Valiente-Alandí, Í., Blaxall, B. C., Grimes, H. L., Singh, H., & Salomonis, N. (2019) · Cell Reports
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 207
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Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
Churko, J. M., Garg, P., Treutlein, B., Venkatasubramanian, M., Wu, H., Lee, J., Wessells, Q. N., Chen, S.-Y., Chen, W.-Y., Chetal, K., et al. (2018) · Nature Communications
Pluripotent Stem Cells ResearchSingle-cell and spatial transcriptomics
Cited by 207
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DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity
Li, G., Iyer, B., Prasath, V. B. S., Ni, Y., & Salomonis, N. (2021) · Briefings in Bioinformatics
vaccines and immunoinformatics approachesImmunotherapy and Immune Responses
Cited by 168
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Mouse models of neutropenia reveal progenitor-stage-specific defects
Muench, D. E., Olsson, A., Ferchen, K., Pham, G., Serafin, R. A., Chutipongtanate, S., Dwivedi, P., Song, B., Hay, S., Chetal, K., et al. (2020) · Nature
Blood disorders and treatmentsImmunodeficiency and Autoimmune Disorders
Cited by 115
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Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
Daily, K., Ho Sui, S. J., Schriml, L. M., Dexheimer, P. J., Salomonis, N., Schroll, R., Bush, S., Keddache, M., Mayhew, C., Lotia, S., et al. (2017) · Scientific Data
Pluripotent Stem Cells ResearchDevelopmental Biology and Gene Regulation
Cited by 81
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cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes
DePasquale, E. A. K., Schnell, D., Dexheimer, P., Ferchen, K., Hay, S., Chetal, K., Valiente-Alandí, Í., Blaxall, B. C., Grimes, H. L., & Salomonis, N. (2019) · Nucleic Acids Research
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 67
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LungMAP Portal Ecosystem: Systems-level Exploration of the Lung
Gaddis, N., Fortriede, J., Guo, M., Bardes, E. E., Kouril, M., Tabar, S., Burns, K., Ardini-Poleske, M. E., Loos, S., Schnell, D., et al. (2024) · American Journal of Respiratory Cell and Molecular Biology
Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks
Cited by 62
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Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms
Lambourne, L., Mattioli, K., Santoso, C., Sheynkman, G., Inukai, S., Kaundal, B., Berenson, A., Spirohn-Fitzgerald, K., Bhattacharjee, A., Rothman, E., et al. (2025) · Molecular Cell
Genomics and Chromatin DynamicsGene Regulatory Network Analysis
Cited by 42
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CellDrift: inferring perturbation responses in temporally sampled single-cell data
Jin, K., Schnell, D., Li, G., Salomonis, N., Prasath, V. B. S., Szczesniak, R., & Aronow, B. J. (2022) · Briefings in Bioinformatics
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 11
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