Maria Kaaman

1.1k total citations
11 papers, 917 citations indexed

About

Maria Kaaman is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Maria Kaaman has authored 11 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Epidemiology. Recurrent topics in Maria Kaaman's work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Lipid metabolism and biosynthesis (3 papers). Maria Kaaman is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Lipid metabolism and biosynthesis (3 papers). Maria Kaaman collaborates with scholars based in Sweden, United Kingdom and Australia. Maria Kaaman's co-authors include Ingrid Dahlman, Peter Arner, Elisabet Arvidsson Nordström, Mikael Rydén, Anneli Attersand, Lennart Blomqvist, Vanessa van Harmelen, Lauren M. Sparks, Steven R. Smith and Eva Sjölin and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Maria Kaaman

11 papers receiving 900 citations

Peers

Maria Kaaman

PHYSI

EPIDE

BIOCH

CCM

Meritxell Rosell Spain

Àgatha Cabrero Spain

Liqun Tian United States

David J. Pedersen Australia

Mackenzie Pearson United States

Tanya Tarnovscki Israel

A. Brianne Thrush Canada

Laura Zemany United States

Ariane Pessentheiner United States

Kyung Cheul Shin South Korea

Meritxell Rosell Spain

Maria Kaaman

705 ×1.3

PHYSI

392 ×1.0

410 ×1.1

EPIDE

91 ×0.8

BIOCH

156 ×1.5

CCM

Citations per year, relative to Maria Kaaman Maria Kaaman (= 1×) peers Meritxell Rosell

Countries citing papers authored by Maria Kaaman

Since Specialization

Citations

This map shows the geographic impact of Maria Kaaman'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 Maria Kaaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Kaaman more than expected).

Fields of papers citing papers by Maria Kaaman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Kaaman. 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 Maria Kaaman. The network helps show where Maria Kaaman may publish in the future.

Co-authorship network of co-authors of Maria Kaaman

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kaaman. A scholar is included among the top collaborators of Maria Kaaman 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 Maria Kaaman. Maria Kaaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Mejhert, Niklas, Jurga Laurencikiene, Amanda Pettersson, et al.. (2010). Role of Receptor-Interacting Protein 140 in human fat cells. BMC Endocrine Disorders. 10(1). 1–1. 34 indexed citations

Kaaman, Maria, et al.. (2008). Association analysis of positional obesity candidate genes based on integrated data from transcriptomics and linkage analysis. International Journal of Obesity. 32(5). 816–825. 18 indexed citations

Lång, Pernilla, Vanessa van Harmelen, Mikael Rydén, et al.. (2008). Monomeric Tartrate Resistant Acid Phosphatase Induces Insulin Sensitive Obesity. PLoS ONE. 3(3). e1713–e1713. 33 indexed citations

Kaaman, Maria, Lauren M. Sparks, Vanessa van Harmelen, et al.. (2007). Strong association between mitochondrial DNA copy number and lipogenesis in human white adipose tissue. Diabetologia. 50(12). 2526–2533. 173 indexed citations

Dahlman, Ingrid, Elisabet Arvidsson Nordström, Maria Kaaman, et al.. (2006). Downregulation of Electron Transport Chain Genes in Visceral Adipose Tissue in Type 2 Diabetes Independent of Obesity and Possibly Involving Tumor Necrosis Factor-α. Diabetes. 55(6). 1792–1799. 150 indexed citations

Kaaman, Maria, Mikael Rydén, Tomas Axelsson, et al.. (2005). ALOX5AP expression, but not gene haplotypes, is associated with obesity and insulin resistance. International Journal of Obesity. 30(3). 447–452. 57 indexed citations

Dicker, Andrea, et al.. (2005). Differential function of the α2A-adrenoceptor and phosphodiesterase-3B in human adipocytes of different origin. International Journal of Obesity. 29(12). 1413–1421. 15 indexed citations

Dahlman, Ingrid, Maria Kaaman, Hong Jiao, et al.. (2005). The CIDEA Gene V115F Polymorphism Is Associated With Obesity in Swedish Subjects. Diabetes. 54(10). 3032–3034. 49 indexed citations

Dahlman, Ingrid, Maria Kaaman, Tommy Olsson, et al.. (2005). A Unique Role of Monocyte Chemoattractant Protein 1 among Chemokines in Adipose Tissue of Obese Subjects. The Journal of Clinical Endocrinology & Metabolism. 90(10). 5834–5840. 173 indexed citations

10.

Nordström, Elisabet Arvidsson, Mikael Rydén, Ingrid Dahlman, et al.. (2005). A Human-Specific Role of Cell Death-Inducing DFFA (DNA Fragmentation Factor-α)-Like Effector A (CIDEA) in Adipocyte Lipolysis and Obesity. Diabetes. 54(6). 1726–1734. 156 indexed citations

11.

Dahlman, Ingrid, Per Eriksson, Maria Kaaman, et al.. (2004). ?2-Heremans?Schmid glycoprotein gene polymorphisms are associated with adipocyte insulin action. Diabetologia. 47(11). 1974–1979. 59 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.

Explore authors with similar magnitude of impact