The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis
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In the citing paper
“It is also highly problematic in lung infections, especially in people with the genetic disease cystic fibrosis7, chronic pulmonary disease8 and ventilator-associated pneumonia9.”
From Pseudomonas aeruginosa: ecology, evolution, pathogenesis and antimicrobial susceptibility (2025) · cites this paper as [7]
In the citing paper
“Pseudomonas aeruginosa is a multi-drug resistance (MDR) opportunistic pathogens, causing acute or chronic infection in immunocompromised individuals with chronic obstructive pulmonary disease (COPD), cystic fibrosis, cancer, traumas, burns, sepsis, and ventilator-associated pneumonia (VAP) including those caused by COVID-19.1–3”
From Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics (2022) · cites this paper as [1]
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Citations
Cites
DNA damage and oxygen radical toxicity
Imlay, J. A., & Linn, S. (1988) · Science · doi:10.1126/science.3287616 · Cited by 1,974
Definitions and guidelines for research on antibiotic persistence
Balaban, N. Q., Helaine, S., Lewis, K., Ackermann, M., Aldridge, B., Andersson, D. I., Brynildsen, M. P., Bumann, D., Camilli, A., Collins, J. J., et al. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0196-3 · Cited by 1,313
Mechanisms and clinical relevance of bacterial heteroresistance
Andersson, D. I., Nicoloff, H., & Hjort, K. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0218-1 · Cited by 513
Essential genome of Pseudomonas aeruginosa in cystic fibrosis sputum
Turner, K. H., Wessel, A. K., Palmer, G. C., Murray, J. L., & Whiteley, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419677112 · Cited by 432
Long-term social dynamics drive loss of function in pathogenic bacteria
Andersen, S. B., Marvig, R. L., Molin, S., Krogh Johansen, H., & Griffin, A. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508324112 · Cited by 168
Self-citationMarvig, R. L., Damkiær, S., Khademi, S. M. H., Markussen, T. M., Molin, S., & Jelsbak, L. (2014) · mBio · doi:10.1128/mbio.00966-14 · Cited by 164
Self-citation
Cited by
Qin, S., Xiao, W., Zhou, C., Pu, Q., Deng, X., Lan, L., Liang, H., Song, X., & Wu, M. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01056-1 · Cited by 1,703
Pseudomonas aeruginosa: An Audacious Pathogen with an Adaptable Arsenal of Virulence Factors
Jurado-Martín, I., Sainz-Mejías, M., & McClean, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22063128 · Cited by 698
Nick, J. A., Dedrick, R. M., Gray, A. L., Vladar, E. K., Smith, B. E., Freeman, K. G., Malcolm, K. C., Epperson, L. E., Hasan, N. A., Hendrix, J., et al. (2022) · Cell · doi:10.1016/j.cell.2022.04.024 · Cited by 251
Pseudomonas aeruginosa: ecology, evolution, pathogenesis and antimicrobial susceptibility
Letizia, M., Diggle, S. P., & Whiteley, M. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-025-01193-8 · Cited by 231
Dolan, S. K., Wijaya, A., Kohlstedt, M., Gläser, L., Brear, P., Silva-Rocha, R., Wittmann, C., & Welch, M. (2022) · mBio · doi:10.1128/mbio.02541-22 · Cited by 21
Metadata
- Authors
- Rossi, E., La Rosa, R., Bartell, J. A., Marvig, R. L., Haagensen, J. A. J., Sommer, L. M., Molin, S., & Johansen, H. K.
- Venue
- Nature Reviews Microbiology
- Published
- 2020-11-19
- Volume
- 19
- Issue
- 5
- Pages
- 331-342
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W3099789223
- Cited by
- 525
- References
- 6
- FWCI
- 4.23
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis. https://app.cochat.ai/papers/10.1038/s41579-020-00477-5
- The paper
- Rossi, E., La Rosa, R., Bartell, J. A., Marvig, R. L., Haagensen, J. A. J., Sommer, L. M., Molin, S., & Johansen, H. K. (2021). Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis. Nature Reviews Microbiology. https://doi.org/10.1038/s41579-020-00477-5
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.
