Pico, Alexander R.
Gladstone Institutes
11 papers on CoChatORCID 0000-0001-5706-2163
Most cited papers
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Integration of biological networks and gene expression data using Cytoscape
Cline, M. S., Smoot, M., Cerami, E., Kuchinsky, A., Landys, N., Workman, C., Christmas, R., Avila-Campilo, I., Creech, M., Gross, B., et al. (2007) · Nature Protocols
Bioinformatics and Genomic NetworksGene Regulatory Network Analysis
Cited by 2,507
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Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
Clark, D. J., Dhanasekaran, S. M., Petralia, F., Pan, J., Song, X., Hu, Y., da Veiga Leprevost, F., Reva, B., Lih, T.-S. M., Chang, H.-Y., et al. (2019) · Cell
Renal cell carcinoma treatmentCancer Genomics and Diagnostics
Cited by 730
- Verified
WikiPathways: Pathway Editing for the People
Pico, A. R., Kelder, T., van Iersel, M. P., Hanspers, K., Conklin, B. R., & Evelo, C. (2008) · PLoS Biology
Bioinformatics and Genomic NetworksWikis in Education and Collaboration
Cited by 701
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Proteogenomic and metabolomic characterization of human glioblastoma
Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell
Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics
Cited by 661
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Proteogenomic Characterization of Endometrial Carcinoma
Dou, Y., Kawaler, E. A., Cui Zhou, D., Gritsenko, M. A., Huang, C., Blumenberg, L., Karpova, A., Petyuk, V. A., Savage, S. R., Satpathy, S., et al. (2020) · Cell
Endometrial and Cervical Cancer TreatmentsAdvanced Proteomics Techniques and Applications
Cited by 485
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Fibrin-targeting immunotherapy protects against neuroinflammation and neurodegeneration
Ryu, J. K., Rafalski, V. A., Meyer-Franke, A., Adams, R. A., Poda, S. B., Rios Coronado, P. E., Pedersen, L. Ø., Menon, V., Baeten, K. M., Sikorski, S. L., et al. (2018) · Nature Immunology
Neuroinflammation and Neurodegeneration MechanismsMultiple Sclerosis Research Studies
Cited by 213
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Transcriptional profiling and therapeutic targeting of oxidative stress in neuroinflammation
Mendiola, A. S., Ryu, J. K., Bardehle, S., Meyer-Franke, A., Ang, K. K.-H., Wilson, C., Baeten, K. M., Hanspers, K., Merlini, M., Thomas, S., et al. (2020) · Nature Immunology
Neuroinflammation and Neurodegeneration MechanismsMultiple Sclerosis Research Studies
Cited by 199
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Defining blood-induced microglia functions in neurodegeneration through multiomic profiling
Mendiola, A. S., Yan, Z., Dixit, K., Johnson, J. R., Bouhaddou, M., Meyer-Franke, A., Shin, M.-G., Yong, Y., Agrawal, A., MacDonald, E., et al. (2023) · Nature Immunology
Neuroinflammation and Neurodegeneration MechanismsMultiple Sclerosis Research Studies
Cited by 124
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Fibrin drives thromboinflammation and neuropathology in COVID-19
Ryu, J. K., Yan, Z., Montano, M., Sozmen, E. G., Dixit, K., Suryawanshi, R. K., Matsui, Y., Helmy, E., Kaushal, P., Makanani, S. K., et al. (2024) · Nature
COVID-19 Clinical Research StudiesBlood properties and coagulation
Cited by 116
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The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information
Morris, J. H., Soman, K., Akbas, R. E., Zhou, X., Smith, B., Meng, E. C., Huang, C. C., Cerono, G., Schenk, G., Rizk-Jackson, A., et al. (2023) · Bioinformatics
Biomedical Text Mining and OntologiesSemantic Web and Ontologies
Cited by 99
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Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models
Miller, S. R., Luxem, K., Lauderdale, K., Nambiar, P., Honma, P. S., Ly, K. K., Bangera, S., Bullock, M., Shin, J., Kaliss, N., et al. (2024) · Cell Reports
Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms
Cited by 24
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