Zhang, Cheng

A pathology atlas of the human cancer transcriptome

Uhlen, M., Zhang, C., Lee, S., Sjöstedt, E., Fagerberg, L., Bidkhori, G., Benfeitas, R., Arif, M., Liu, Z., Edfors, F., et al. (2017) · Science

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 3,371

A subcellular map of the human proteome

Thul, P. J., Åkesson, L., Wiking, M., Mahdessian, D., Geladaki, A., Ait Blal, H., Alm, T., Asplund, A., Björk, L., Breckels, L. M., et al. (2017) · Science

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 2,813

A single–cell type transcriptomics map of human tissues

Karlsson, M., Zhang, C., Méar, L., Zhong, W., Digre, A., Katona, B., Sjöstedt, E., Butler, L., Odeberg, J., Dusart, P., et al. (2021) · Science Advances

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 1,768

An atlas of the protein-coding genes in the human, pig, and mouse brain

Sjöstedt, E., Zhong, W., Fagerberg, L., Karlsson, M., Mitsios, N., Adori, C., Oksvold, P., Edfors, F., Limiszewska, A., Hikmet, F., et al. (2020) · Science

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 1,151

A genome-wide transcriptomic analysis of protein-coding genes in human blood cells

Uhlen, M., Karlsson, M. J., Zhong, W., Tebani, A., Pou, C., Mikes, J., Lakshmikanth, T., Forsström, B., Edfors, F., Odeberg, J., et al. (2019) · Science

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 594

MEMOTE for standardized genome-scale metabolic model testing

Lieven, C., Beber, M. E., Olivier, B. G., Bergmann, F. T., Ataman, M., Babaei, P., Bartell, J. A., Blank, L. M., Chauhan, S., Correia, K., et al. (2020) · Nature Biotechnology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 509

Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints

Sánchez, B. J., Zhang, C., Nilsson, A., Lahtvee, P., Kerkhoven, E. J., & Nielsen, J. (2017) · Molecular Systems Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 466

The gut microbiota modulates host amino acid and glutathione metabolism in mice

Mardinoglu, A., Shoaie, S., Bergentall, M., Ghaffari, P., Zhang, C., Larsson, E., Bäckhed, F., & Nielsen, J. (2015) · Molecular Systems Biology

Gut microbiota and healthMicrobial Metabolic Engineering and Bioproduction

Cited by 383

Applications of Genome-Scale Metabolic Models in Biotechnology and Systems Medicine

Zhang, C., & Hua, Q. (2016) · Frontiers in Physiology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 150

Combined Metabolic Activators Accelerates Recovery in Mild‐to‐Moderate COVID‐19

Altay, O., Arif, M., Li, X., Yang, H., Aydın, M., Alkurt, G., Kim, W., Akyol, D., Zhang, C., Dinler‐Doganay, G., et al. (2021) · Advanced Science

COVID-19 Clinical Research StudiesLong-Term Effects of COVID-19

Cited by 88

Combined metabolic activators improve cognitive functions in Alzheimer’s disease patients: a randomised, double-blinded, placebo-controlled phase-II trial

Yulug, B., Altay, O., Li, X., Hanoglu, L., Cankaya, S., Lam, S., Velioglu, H. A., Yang, H., Coskun, E., Idil, E., et al. (2023) · Translational Neurodegeneration

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 79

Multi-omics analysis reveals the key factors involved in the severity of the Alzheimer’s disease

Meng, L., Jin, H., Yulug, B., Altay, O., Li, X., Hanoglu, L., Cankaya, S., Coskun, E., Idil, E., Nogaylar, R., et al. (2024) · Alzheimer's Research & Therapy

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49