The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Histopathology of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis
Open accessAbstract
Nonalcoholic fatty liver disease (NAFLD) is the liver injury most often associated with disordered of insulin resistance, including obesity, diabetes and the metabolic syndrome. The term encompasses several patterns of liver injury, including a relatively benign condition of steatosis without hepatocellular injury, nonalcoholic steatohepatitis (NASH), and a pattern of zone 1 steatosis, inflammation and fibrosis mainly observed in prepubertal children. Staging and grading systems have been developed to characterize the histological changes in NAFLD, mainly as a tool for clinical research. The histological features of NAFLD across these different manifestations and the scoring systems used to evaluate disease severity are discussed.
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
Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity.
MATTEONI, C., YOUNOSSI, Z., GRAMLICH, T., BOPARAI, N., LIU, Y., & MCCULLOUGH, A. (1999) · Gastroenterology · doi:10.1016/s0016-5085(99)70506-8 · Cited by 3,345
Behavioral predictors of weight regain after bariatric surgery
Odom, J., Zalesin, K. C., Washington, T. L., Miller, W. W., Hakmeh, B., Zaremba, D. L., Altattan, M., Balasubramaniam, M., Gibbs, D. S., Krause, K. R., et al. (2010) · Obesity Surgery · doi:10.1007/s11695-009-9895-6 · Cited by 483
Megamitochondria formation ‐ physiology and pathology
Wakabayashi, T. (2002) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2002.tb00452.x · Cited by 189
Cited by
Chalasani, N., Younossi, Z., Lavine, J. E., Charlton, M., Cusi, K., Rinella, M., Harrison, S. A., Brunt, E. M., & Sanyal, A. J. (2018) · Hepatology · doi:10.1002/hep.29367 · Cited by 7,239
Karlas, T., Petroff, D., Sasso, M., Fan, J.-G., Mi, Y.-Q., de Lédinghen, V., Kumar, M., Lupsor-Platon, M., Han, K.-H., Cardoso, A. C., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2016.12.022 · Cited by 1,275
Preclinical models of non-alcoholic fatty liver disease
Santhekadur, P. K., Kumar, D. P., & Sanyal, A. J. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2017.10.031 · Cited by 380
Report on the AASLD/EASL joint workshop on clinical trial endpoints in NAFLD
Rinella, M. E., Tacke, F., Sanyal, A. J., & Anstee, Q. M. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.04.019 · Cited by 209
Fernando, D. H., Forbes, J. M., Angus, P. W., & Herath, C. B. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20205037 · Cited by 184
ECM formation and degradation during fibrosis, repair, and regeneration
Mayorca-Guiliani, A. E., Leeming, D. J., Henriksen, K., Mortensen, J. H., Nielsen, S. H., Anstee, Q. M., Sanyal, A. J., Karsdal, M. A., & Schuppan, D. (2025) · npj Metabolic Health and Disease · doi:10.1038/s44324-025-00063-4 · Cited by 176
Boland, M. L., Oró, D., Tølbøl, K. S., Thrane, S. T., Nielsen, J. C., Cohen, T. S., Tabor, D. E., Fernandes, F., Tovchigrechko, A., Veidal, S. S., et al. (2019) · World Journal of Gastroenterology · doi:10.3748/wjg.v25.i33.4904 · Cited by 129
Toledo-Ibelles, P., Gutiérrez-Vidal, R., Calixto-Tlacomulco, S., Delgado-Coello, B., & Mas-Oliva, J. (2021) · Archives of Medical Research · doi:10.1016/j.arcmed.2021.04.005 · Cited by 64
Kostrzewski, T., Snow, S., Battle, A. L., Peel, S., Ahmad, Z., Basak, J., Surakala, M., Bornot, A., Lindgren, J., Ryaboshapkina, M., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02616-x · Cited by 52
Phan, H., Richard, A., Lazo, M., Nelson, W. G., Denmeade, S. R., Groopman, J., Kanarek, N., Platz, E. A., & Rohrmann, S. (2021) · Liver International · doi:10.1111/liv.14652 · Cited by 45
WSTF nuclear autophagy regulates chronic but not acute inflammation
Wang, Y., Eapen, V. V., Liang, Y., Kournoutis, A., Sherman, M. S., Xu, Y., Onorati, A., Li, X., Zhou, X., Corey, K. E., et al. (2025) · Nature · doi:10.1038/s41586-025-09234-1 · Cited by 30
Ex Vivo Tools and Models in MASLD Research
Velliou, R.-I., Giannousi, E., Ralliou, C., Kassi, E., & Chatzigeorgiou, A. (2024) · Cells · doi:10.3390/cells13221827 · Cited by 15
Metadata
- Authors
- Brown, G. T., & Kleiner, D. E.
- Venue
- Metabolism
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 65
- Issue
- 8
- Pages
- 1080-1086
- ISSN
- 0026-0495 (ISSN-L)
- OpenAlex
- W2182670456
- Cited by
- 363
- References
- 3
- FWCI
- 8.49
- Type
- journal article
- Language
- en
- Open access
- green
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
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.