The DOI matches its Crossref record.
Theory and Practice of Histological Techniques
Abstract
The American Journal of Surgical Pathology 33(2):p 323, February 2009. | DOI: 10.1097/PAS.0b013e3181805089
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Citations
Cited by
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Martinod, K., Witsch, T., Erpenbeck, L., Savchenko, A., Hayashi, H., Cherpokova, D., Gallant, M., Mauler, M., Cifuni, S. M., & Wagner, D. D. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20160530 · Cited by 218
Cai, X., Zhang, W., Hu, J., Zhang, L., Sultana, N., Wu, B., Cai, W., Zhou, B., & Cai, C.-L. (2013) · Development · doi:10.1242/dev.092502 · Cited by 75
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Elshazly, M. O., Abd El-Rahman, S. S., Morgan, A. M., & Ali, M. E. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126780 · Cited by 31
Metadata
- Authors
- Goss, G.
- Venue
- American Journal of Surgical Pathology
- Published
- 2009-02
- Volume
- 33
- Issue
- 2
- Pages
- 323
- ISSN
- 0147-5185 (ISSN-L)
- OpenAlex
- W2004007806
- Cited by
- 1,773
- References
- 0
- FWCI
- 105.04
- 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
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- CoChat. (2026). Citation check: Theory and Practice of Histological Techniques. https://app.cochat.ai/papers/10.1097/pas.0b013e3181805089
- The paper
- Goss, G. (2009). Theory and Practice of Histological Techniques. American Journal of Surgical Pathology. https://doi.org/10.1097/pas.0b013e3181805089
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.
