Katrine Almind

2.9k total citations
27 papers, 2.3k citations indexed

About

Katrine Almind is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Katrine Almind has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 13 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Katrine Almind's work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (7 papers) and Adipose Tissue and Metabolism (6 papers). Katrine Almind is often cited by papers focused on Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (7 papers) and Adipose Tissue and Metabolism (6 papers). Katrine Almind collaborates with scholars based in United States, Denmark and France. Katrine Almind's co-authors include C. Ronald Kahn, Oluf Pedersen, Torben Hansen, S. M. Echwald, Christian Bjørbæk, William I. Sivitz, Saverio Cinti, C. Ronald Kahn, Gen Inoue and Monia Manieri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Katrine Almind

27 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katrine Almind United States 22 1.1k 803 771 692 507 27 2.3k
Søren A. Urhammer Denmark 32 1.2k 1.1× 829 1.0× 930 1.2× 810 1.2× 603 1.2× 50 2.6k
Roberto A. Calle United States 26 1.3k 1.1× 694 0.9× 448 0.6× 795 1.1× 267 0.5× 72 2.3k
Naohisa Oda Japan 17 923 0.8× 973 1.2× 299 0.4× 504 0.7× 796 1.6× 37 2.1k
Eric D. Hawkins United States 11 2.2k 2.0× 473 0.6× 893 1.2× 341 0.5× 237 0.5× 17 3.1k
David Vicent Spain 19 899 0.8× 331 0.4× 535 0.7× 461 0.7× 195 0.4× 37 2.0k
Rohit N. Kulkarni United States 19 1.0k 0.9× 490 0.6× 1.3k 1.7× 247 0.4× 192 0.4× 33 2.4k
P.M. Blix United States 23 639 0.6× 940 1.2× 504 0.7× 1.3k 1.8× 675 1.3× 34 2.4k
Naotake Hashimoto Japan 23 818 0.7× 435 0.5× 406 0.5× 450 0.7× 199 0.4× 83 1.9k
Yasumichi Mori Japan 18 901 0.8× 404 0.5× 485 0.6× 584 0.8× 294 0.6× 50 1.8k
C. F. Gotfredsen Denmark 23 1.1k 1.0× 1.3k 1.7× 352 0.5× 1.7k 2.4× 476 0.9× 41 2.5k

Countries citing papers authored by Katrine Almind

Since Specialization
Citations

This map shows the geographic impact of Katrine Almind's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katrine Almind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrine Almind more than expected).

Fields of papers citing papers by Katrine Almind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrine Almind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katrine Almind. The network helps show where Katrine Almind may publish in the future.

Co-authorship network of co-authors of Katrine Almind

This figure shows the co-authorship network connecting the top 25 collaborators of Katrine Almind. A scholar is included among the top collaborators of Katrine Almind based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katrine Almind. Katrine Almind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sandholt, Camilla H., M. A. Vestmar, Anders Borglykke, et al.. (2011). Studies of Metabolic Phenotypic Correlates of 15 Obesity Associated Gene Variants. PLoS ONE. 6(9). e23531–e23531. 49 indexed citations
2.
Mori, Marcelo A., Manway Liu, Olivier Bézy, et al.. (2010). A Systems Biology Approach Identifies Inflammatory Abnormalities Between Mouse Strains Prior to Development of Metabolic Disease. Diabetes. 59(11). 2960–2971. 60 indexed citations
3.
Andreasen, Camilla, Knut Borch‐Johnsen, Annelli Sandbæk, et al.. (2009). Studies of CTNNBL1 and FDFT1variants and measures of obesity: analyses of quantitative traits and case-control studies in 18,014 Danes. BMC Medical Genetics. 10(1). 17–17. 13 indexed citations
5.
Andreasen, Camilla, Knut Borch‐Johnsen, Annelli Sandbæk, et al.. (2008). Non-Replication of Genome-Wide Based Associations between Common Variants in INSIG2 and PFKP and Obesity in Studies of 18,014 Danes. PLoS ONE. 3(8). e2872–e2872. 41 indexed citations
6.
Fink, Brian D., et al.. (2007). Mitochondrial proton leak in obesity-resistant and obesity-prone mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 293(5). R1773–R1780. 38 indexed citations
7.
Almind, Katrine, Monia Manieri, William I. Sivitz, Saverio Cinti, & C. Ronald Kahn. (2007). Ectopic brown adipose tissue in muscle provides a mechanism for differences in risk of metabolic syndrome in mice. Proceedings of the National Academy of Sciences. 104(7). 2366–2371. 241 indexed citations
8.
Almind, Katrine & C. Ronald Kahn. (2004). Genetic Determinants of Energy Expenditure and Insulin Resistance in Diet-Induced Obesity in Mice. Diabetes. 53(12). 3274–3285. 216 indexed citations
9.
Pildal, Julie, Maria Lajer, Sara K. Hansen, et al.. (2003). Studies of variability in the islet amyloid polypeptide gene in relation to Type 2 diabetes. Diabetic Medicine. 20(6). 491–494. 7 indexed citations
10.
Kulkarni, Rohit, Katrine Almind, H. Joseph Goren, et al.. (2003). Impact of Genetic Background on Development of Hyperinsulinemia and Diabetes in Insulin Receptor/Insulin Receptor Substrate-1 Double Heterozygous Mice. Diabetes. 52(6). 1528–1534. 95 indexed citations
11.
Rasmussen, Søren K., Søren A. Urhammer, Torben Hansen, et al.. (2000). Variability of the Insulin Receptor Substrate-1, Hepatocyte Nuclear Factor-1α (HNF-1α), HNF-4α, and HNF-6 Genes and Size at Birth in a Population-Based Sample of Young Danish Subjects1. The Journal of Clinical Endocrinology & Metabolism. 85(8). 2951–2953. 15 indexed citations
13.
Almind, Katrine, Martin Ahlgren, Torben Hansen, et al.. (1999). Discovery of a Met300Val Variant in Shc and Studies of Its Relationship to Birth Weight and Length, Impaired Insulin Secretion, Insulin Resistance, and Type 2 Diabetes Mellitus1. The Journal of Clinical Endocrinology & Metabolism. 84(6). 2241–2244. 12 indexed citations
15.
Almind, Katrine, Martin Ahlgren, Søren A. Urhammer, et al.. (1998). Common amino acid substitutions in insulin receptor substrate-4 are not associated with Type II diabetes mellitus or insulin resistance. Diabetologia. 41(8). 969–974. 12 indexed citations
16.
Hansen, Torben, S. M. Echwald, Lone Hansen, et al.. (1998). Decreased tolbutamide-stimulated insulin secretion in healthy subjects with sequence variants in the high-affinity sulfonylurea receptor gene.. Diabetes. 47(4). 598–605. 94 indexed citations
18.
Almind, Katrine, Gen Inoue, Oluf Pedersen, & C. Ronald Kahn. (1996). A common amino acid polymorphism in insulin receptor substrate-1 causes impaired insulin signaling. Evidence from transfection studies.. Journal of Clinical Investigation. 97(11). 2569–2575. 198 indexed citations
19.
Clausen, J. O., Torben Hansen, Christian Bjørbæk, et al.. (1995). Insulin resistance: interactions between obesity and a common variant of insulin receptor substrate-1. The Lancet. 346(8972). 397–402. 172 indexed citations
20.
Almind, Katrine, Christian Bjørbæk, Henrik Vestergaard, et al.. (1993). Aminoacid polymorphisms of insulin receptor substrate-1 in non-insulin-dependent diabetes mellitus. The Lancet. 342(8875). 828–832. 274 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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