The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
A Systems Genetics Approach Identifies Genes and Pathways for Type 2 Diabetes in Human Islets
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Cites
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Self-citationNetwork medicine: a network-based approach to human disease
Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2918 · Cited by 5,034
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
DeFronzo, R. A. (2009) · Diabetes · doi:10.2337/db09-9028 · Cited by 3,016
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
Self-citationA genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
A pancreatic islet-specific microRNA regulates insulin secretion
Poy, M. N., Eliasson, L., Krutzfeldt, J., Kuwajima, S., Ma, X., MacDonald, P. E., Pfeffer, S., Tuschl, T., Rajewsky, N., Rorsman, P., et al. (2004) · Nature · doi:10.1038/nature03076 · Cited by 2,102
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2043 · Cited by 1,072
Clinical risk factors, DNA variants, and the development of type 2 diabetes
Lyssenko, V., Jonsson, A., Almgren, P., Pulizzi, N., Isomaa, B., Tuomi, T., Berglund, G., Altshuler, D., Nilsson, P., & Groop, L. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801869 · Cited by 938
Self-citation
Cited by
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Segerstolpe, Å., Palasantza, A., Eliasson, P., Andersson, E.-M., Andréasson, A.-C., Sun, X., Picelli, S., Sabirsh, A., Clausen, M., Bjursell, M. K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.020 · Cited by 1,550
Branched-chain amino acids in metabolic signalling and insulin resistance
Lynch, C. J., & Adams, S. H. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.171 · Cited by 1,461
Pancreatic β-Cell Electrical Activity and Insulin Secretion: Of Mice and Men
Rorsman, P., & Ashcroft, F. M. (2018) · Physiological Reviews · doi:10.1152/physrev.00008.2017 · Cited by 793
Genetics of Type 2 Diabetes—Pitfalls and Possibilities
Prasad, R., & Groop, L. (2015) · Genes · doi:10.3390/genes6010087 · Cited by 458
Self-citationLotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002179 · Cited by 417
Metadata
- Authors
- Taneera, J., Lang, S., Sharma, A., Fadista, J., Zhou, Y., Ahlqvist, E., Jonsson, A., Lyssenko, V., Vikman, P., Hansson, O., Parikh, H., Korsgren, O., Soni, A., Krus, U., Zhang, E., Jing, X.-J., Esguerra, J. L. S., Wollheim, C. B., Salehi, A., Rosengren, A., Renström, E., & Groop, L.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 16
- Issue
- 1
- Pages
- 122-134
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2135902632
- Cited by
- 376
- References
- 13
- FWCI
- 31.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A Systems Genetics Approach Identifies Genes and Pathways for Type 2 Diabetes in Human Islets. https://app.cochat.ai/papers/10.1016/j.cmet.2012.06.006
- The paper
- Taneera, J., Lang, S., Sharma, A., Fadista, J., Zhou, Y., Ahlqvist, E., Jonsson, A., Lyssenko, V., Vikman, P., Hansson, O., Parikh, H., Korsgren, O., Soni, A., Krus, U., Zhang, E., Jing, X.-J., Esguerra, J. L. S., Wollheim, C. B., Salehi, A., . . . Groop, L. (2012). A Systems Genetics Approach Identifies Genes and Pathways for Type 2 Diabetes in Human Islets. Cell Metabolism. https://doi.org/10.1016/j.cmet.2012.06.006
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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.
