The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.
Viral hijacking of cellular metabolism
Open accessAbstract
This review discusses the current state of the viral metabolism field and gaps in knowledge that will be important for future studies to investigate. We discuss metabolic rewiring caused by viruses, the influence of oncogenic viruses on host cell metabolism, and the use of viruses as guides to identify critical metabolic nodes for cancer anabolism. We also discuss the need for more mechanistic studies identifying viral proteins responsible for metabolic hijacking and for in vivo studies of viral-induced metabolic rewiring. Improved technologies for detailed metabolic measurements and genetic manipulation will lead to important discoveries over the next decade.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Waris, G., Felmlee, D. J., Negro, F., & Siddiqui, A. (2007) · Journal of Virology · doi:10.1128/jvi.00125-07 · Cited by 260
RetractedTargeting HIF-1 for cancer therapy
Semenza, G. L. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1187 · Cited by 6,717
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
Hepatocellular Carcinoma: Epidemiology and Molecular Carcinogenesis
El–Serag, H. B., & Rudolph, K. L. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.04.061 · Cited by 5,415
The HCV Life Cycle: In vitro Tissue Culture Systems and Therapeutic Targets
Gerold, G., & Pietschmann, T. (2014) · Digestive Diseases · doi:10.1159/000360830 · Cited by 4,854
El-Serag, H. B. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1001683 · Cited by 3,529
Clonal Integration of a Polyomavirus in Human Merkel Cell Carcinoma
Feng, H., Shuda, M., Chang, Y., & Moore, P. S. (2008) · Science · doi:10.1126/science.1152586 · Cited by 3,208
Worldwide burden of cancer attributable to HPV by site, country and HPV type
de Martel, C., Plummer, M., Vignat, J., & Franceschi, S. (2017) · International Journal of Cancer · doi:10.1002/ijc.30716 · Cited by 2,322
Oncolytic viruses: a new class of immunotherapy drugs
Kaufman, H. L., Kohlhapp, F. J., & Zloza, A. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4663 · Cited by 1,642
Global burden of cancers attributable to infections in 2012: a synthetic analysis
Plummer, M., de Martel, C., Vignat, J., Ferlay, J., Bray, F., & Franceschi, S. (2016) · The Lancet Global Health · doi:10.1016/s2214-109x(16)30143-7 · Cited by 1,635
Cited by
Xiong, Y., Liu, Y., Cao, L., Wang, D., Guo, M., Jiang, A., Guo, D., Hu, W., Yang, J., Tang, Z., et al. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1747363 · Cited by 1,076
The Global Phosphorylation Landscape of SARS-CoV-2 Infection
Bouhaddou, M., Memon, D., Meyer, B., White, K. M., Rezelj, V. V., Correa Marrero, M., Polacco, B. J., Melnyk, J. E., Ulferts, S., Kaake, R. M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.034 · Cited by 1,020
Plasma metabolomic and lipidomic alterations associated with COVID-19
Wu, D., Shu, T., Yang, X., Song, J.-X., Zhang, M., Yao, C., Liu, W., Huang, M., Yu, Y., Yang, Q., et al. (2020) · National Science Review · doi:10.1093/nsr/nwaa086 · Cited by 361
Investigating Ketone Bodies as Immunometabolic Countermeasures against Respiratory Viral Infections
Stubbs, B. J., Koutnik, A. P., Goldberg, E. L., Upadhyay, V., Turnbaugh, P. J., Verdin, E., & Newman, J. C. (2020) · Med · doi:10.1016/j.medj.2020.06.008 · Cited by 71
Viral sepsis: diagnosis, clinical features, pathogenesis, and clinical considerations
Xu, J.-Q., Zhang, W.-Y., Fu, J.-J., Fang, X.-Z., Gao, C.-G., Li, C., Yao, L., Li, Q.-L., Yang, X.-B., Ren, L.-H., et al. (2024) · Military Medical Research · doi:10.1186/s40779-024-00581-0 · Cited by 37
Metadata
- Authors
- Thaker, S. K., Ch’ng, J., & Christofk, H. R.
- Venue
- BMC Biology
- Published
- 2019-07-18
- Volume
- 17
- Issue
- 1
- Pages
- 59-59
- ISSN
- 1741-7007 (ISSN-L)
- OpenAlex
- W2963402728
- Cited by
- 526
- References
- 144
- FWCI
- 15.69
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Viral hijacking of cellular metabolism. https://app.cochat.ai/papers/10.1186/s12915-019-0678-9
- The paper
- Thaker, S. K., Ch’ng, J., & Christofk, H. R. (2019). Viral hijacking of cellular metabolism. BMC Biology. https://doi.org/10.1186/s12915-019-0678-9
Data sources
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.
