The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Lack of the architectural factor HMGA1 causes insulin resistance and diabetes in humans and mice
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
Rane, S. G., Dubus, P., Mettus, R. V., Galbreath, E. J., Boden, G., Reddy, E. P., & Barbacid, M. (1999) · Nature Genetics · doi:10.1038/8751 · Cited by 700
Sandhu, M. S., Heald, A. H., Gibson, J. M., Cruickshank, J. K., Dunger, D. B., & Wareham, N. J. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08655-5 · Cited by 470
Insulin Resistance or Insulin Deficiency: Which Is the Primary Cause of NIDDM?
Taylor, S. I., Accili, D., & Imai, Y. (1994) · Diabetes · doi:10.2337/diab.43.6.735 · Cited by 289
Cited by
New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580
Kang, R., Chen, R., Zhang, Q., Hou, W., Wu, S., Cao, L., Huang, J., Yu, Y., Fan, X.-G., Yan, Z., et al. (2014) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2014.05.001 · Cited by 956
A Versatile Nanotrap for Biochemical and Functional Studies with Fluorescent Fusion Proteins
Rothbauer, U., Zolghadr, K., Muyldermans, S., Schepers, A., Cardoso, M. C., & Leonhardt, H. (2008) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m700342-mcp200 · Cited by 677
Insulin resistance and cancer risk: An overview of the pathogenetic mechanisms
Arcidiacono, B., Iiritano, S., Nocera, A., Possidente, K., Nevolo, M. T., Ventura, V., Foti, D., Chiefari, E., & Brunetti, A. (2012) · Experimental Diabetes Research · doi:10.1155/2012/789174 · Cited by 606
Self-citationType 2 diabetes mellitus and cardiovascular disease: Genetic and epigenetic links
De Rosa, S., Arcidiacono, B., Chiefari, E., Brunetti, A., Indolfi, C., & Foti, D. P. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00002 · Cited by 369
Self-citationHMG chromosomal proteins in development and disease
Hock, R., Furusawa, T., Ueda, T., & Bustin, M. (2007) · Trends in Cell Biology · doi:10.1016/j.tcb.2006.12.001 · Cited by 329
Molecular mechanisms of insulin resistance in type 2 diabetes mellitus
Saini, V. (2010) · World Journal of Diabetes · doi:10.4239/wjd.v1.i3.68 · Cited by 288
Hall, E., Volkov, P., Dayeh, T., Esguerra, J. L. S., Salö, S., Eliasson, L., Rönn, T., Bacos, K., & Ling, C. (2014) · Genome Biology · doi:10.1186/s13059-014-0522-z · Cited by 249
Dai, N., Ji, F., Wright, J., Minichiello, L., Sadreyev, R., & Avruch, J. (2017) · eLife · doi:10.7554/elife.27155 · Cited by 103
Arcidiacono, B., Iiritano, S., Chiefari, E., Brunetti, F. S., Gu, G., Foti, D. P., & Brunetti, A. (2015) · Frontiers in Endocrinology · doi:10.3389/fendo.2014.00237 · Cited by 68
Paonessa, F., Foti, D., Costa, V., Chiefari, E., Brunetti, G., Leone, F., Luciano, F., Wu, F., Lee, A. S., Gulletta, E., et al. (2006) · Cancer Research · doi:10.1158/0008-5472.can-05-3678 · Cited by 52
Self-citationLepore, S. M., Maggisano, V., Bulotta, S., Mignogna, C., Arcidiacono, B., Procopio, A., Brunetti, A., Russo, D., & Celano, M. (2019) · Nutrients · doi:10.3390/nu11081829 · Cited by 34
Self-citationA polyphenol rescues lipid induced insulin resistance in skeletal muscle cells and adipocytes
Gogoi, B., Chatterjee, P., Mukherjee, S., Buragohain, A. K., Bhattacharya, S., & Dasgupta, S. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.08.079 · Cited by 28
Verbrugge, S. A. J., Alhusen, J. A., Kempin, S., Pillon, N. J., Rozman, J., Wackerhage, H., & Kleinert, M. (2022) · Journal of Cellular Biochemistry · doi:10.1002/jcb.30179 · Cited by 21
Metadata
- Authors
- Foti, D., Chiefari, E., Fedele, M., Iuliano, R., Brunetti, L., Paonessa, F., Manfioletti, G., Barbetti, F., Brunetti, A., Croce, C. M., Fusco, A., & Brunetti, A.
- Venue
- Nature Medicine
- Published
- 2005-05-29
- Volume
- 11
- Issue
- 7
- Pages
- 765-773
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2072470895
- Cited by
- 219
- References
- 3
- FWCI
- 8.24
- Type
- journal article
- Language
- en
- Open access
- closed
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.