The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
Smith, C. A., Want, E. J., O'Maille, G., Abagyan, R., & Siuzdak, G. (2006) · Analytical Chemistry · doi:10.1021/ac051437y · Cited by 5,262
A cross-platform toolkit for mass spectrometry and proteomics
Chambers, M. C., Maclean, B., Burke, R., Amodei, D., Ruderman, D. L., Neumann, S., Gatto, L., Fischer, B., Pratt, B., Egertson, J., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2377 · Cited by 4,093
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Pang, Z., Chong, J., Zhou, G., de Lima Morais, D. A., Chang, L., Barrette, M., Gauthier, C., Jacques, P.-É., Li, S., & Xia, J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab382 · Cited by 3,958
Self-citationMetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis
Chong, J., Soufan, O., Li, C., Caraus, I., Li, S., Bourque, G., Wishart, D. S., & Xia, J. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky310 · Cited by 3,629
Self-citationMetaboAnalyst 3.0—making metabolomics more meaningful
Xia, J., Sinelnikov, I. V., Han, B., & Wishart, D. S. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv380 · Cited by 2,676
Self-citationHMDB 5.0: the Human Metabolome Database for 2022
Wishart, D. S., Guo, A., Oler, E., Wang, F., Anjum, A., Peters, H., Dizon, R., Sayeeda, Z., Tian, S., Lee, B. L., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1062 · Cited by 2,519
MetaboAnalyst: a web server for metabolomic data analysis and interpretation
Xia, J., Psychogios, N., Young, N., & Wishart, D. S. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp356 · Cited by 2,266
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Applications of multi‐omics analysis in human diseases
Chen, C., Wang, J., Pan, D., Wang, X., Xu, Y., Yan, J., Wang, L., Yang, X., Yang, M., & Liu, G. (2023) · MedComm · doi:10.1002/mco2.315 · Cited by 545
Cardiometabolic characteristics of people with metabolically healthy and unhealthy obesity
Petersen, M. C., Smith, G. I., Palacios, H. H., Farabi, S. S., Yoshino, M., Yoshino, J., Cho, K., Davila-Roman, V. G., Shankaran, M., Barve, R. A., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.03.002 · Cited by 149
Guo, J. L., Braun, D., Fitzgerald, G. A., Hsieh, Y.-T., Rougé, L., Litvinchuk, A., Steffek, M., Propson, N. E., Heffner, C. M., Discenza, C., et al. (2025) · Cell · doi:10.1016/j.cell.2024.10.027 · Cited by 91
Parallel CRISPR-Cas9 screens identify mechanisms of PLIN2 and lipid droplet regulation
Roberts, M. A., Deol, K. K., Mathiowetz, A. J., Lange, M., Leto, D. E., Stevenson, J., Hashemi, S. H., Morgens, D. W., Easter, E., Heydari, K., et al. (2023) · Developmental Cell · doi:10.1016/j.devcel.2023.07.001 · Cited by 81
González Ibáñez, F., Halvorson, T., Sharma, K., McKee, C. G., Carrier, M., Picard, K., Vernoux, N., Bisht, K., Deslauriers, J., Lalowski, M., et al. (2023) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2023.09.006 · Cited by 28
Metadata
- Authors
- Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., & Xia, J.
- Venue
- Nature Protocols
- Published
- 2022-06-17
- Volume
- 17
- Issue
- 8
- Pages
- 1735-1761
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W4283017342
- Cited by
- 1,444
- References
- 67
- FWCI
- 91.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data. https://app.cochat.ai/papers/10.1038/s41596-022-00710-w
- The paper
- Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., & Xia, J. (2022). Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data. Nature Protocols. https://doi.org/10.1038/s41596-022-00710-w
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
