Karin Åkesson

1.3k total citations
49 papers, 597 citations indexed

About

Karin Åkesson is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Karin Åkesson has authored 49 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 34 papers in Genetics and 14 papers in Surgery. Recurrent topics in Karin Åkesson's work include Diabetes Management and Research (32 papers), Diabetes and associated disorders (29 papers) and Pancreatic function and diabetes (13 papers). Karin Åkesson is often cited by papers focused on Diabetes Management and Research (32 papers), Diabetes and associated disorders (29 papers) and Pancreatic function and diabetes (13 papers). Karin Åkesson collaborates with scholars based in Sweden, United States and Denmark. Karin Åkesson's co-authors include Ulf Samuelsson, Lena Hanberger, Stefan Särnblad, Frida Sundberg, Soffia Guðbjörnsdóttir, Gun Forsander, Ragnar Hanås, Karina Huus, Boel Andersson Gäre and Mats Bojestig and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Karin Åkesson

42 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Åkesson Sweden 16 428 335 223 85 72 49 597
Majedah Abdul-Rasoul Kuwait 14 474 1.1× 452 1.3× 381 1.7× 77 0.9× 53 0.7× 23 729
Konstantinos Kakleas Greece 12 301 0.7× 311 0.9× 120 0.5× 40 0.5× 37 0.5× 27 561
Helen Phelan Australia 12 434 1.0× 381 1.1× 209 0.9× 40 0.5× 40 0.6× 18 608
Claudia Boettcher Germany 8 485 1.1× 296 0.9× 264 1.2× 40 0.5× 36 0.5× 28 607
Bettina Heidtmann Germany 17 1.2k 2.9× 834 2.5× 781 3.5× 86 1.0× 72 1.0× 43 1.4k
Hessa Alkandari Kuwait 13 297 0.7× 277 0.8× 173 0.8× 54 0.6× 30 0.4× 49 535
Seth A. Sharp United Kingdom 12 242 0.6× 394 1.2× 246 1.1× 22 0.3× 5 0.1× 19 598
Mimi M Belmonte Canada 15 607 1.4× 378 1.1× 231 1.0× 41 0.5× 14 0.2× 32 824
Ulrike Schierloh Luxembourg 9 786 1.8× 536 1.6× 564 2.5× 28 0.3× 17 0.2× 18 873
Calle Johansson Sweden 9 395 0.9× 459 1.4× 430 1.9× 26 0.3× 7 0.1× 10 645

Countries citing papers authored by Karin Åkesson

Since Specialization
Citations

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

Fields of papers citing papers by Karin Åkesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Åkesson

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Åkesson. A scholar is included among the top collaborators of Karin Åkesson 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 Karin Åkesson. Karin Åkesson 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.
Casas, Rosaura, et al.. (2025). Redosing with Intralymphatic GAD-Alum in the Treatment of Type 1 Diabetes: The DIAGNODE-B Pilot Trial. International Journal of Molecular Sciences. 26(1). 374–374. 1 indexed citations
2.
Maziarz, Marlena, Tomas Lindahl, Gun Forsander, et al.. (2025). Clinical Characteristics in Swedish Children With and Without Autoantibodies at the Time of Type 1 Diabetes Diagnosis. Diabetes Care. 48(12). 2067–2073.
3.
4.
Ekelund, Jan, Karin Åkesson, Ragnar Hanås, et al.. (2024). Relative poverty is associated with increased risk of diabetic ketoacidosis at onset of type 1 diabetes in children. A Swedish national population‐based study in 2014–2019. Diabetic Medicine. 41(7). e15283–e15283. 3 indexed citations
5.
Teixeira, Pedro Filipe, Tadej Battelino, Annelie Carlsson, et al.. (2024). Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data. Diabetologia. 67(6). 985–994. 7 indexed citations
6.
7.
Sundberg, Frida, et al.. (2024). Using Time in Tight Glucose Range as a Health-Promoting Strategy in Preschoolers With Type 1 Diabetes. Diabetes Care. 48(1). 6–14. 5 indexed citations
8.
Lindgren, Marie, Fredrik Norström, Martina Persson, et al.. (2024). Prevalence and Predictive Factors for Celiac Disease in Children With Type 1 Diabetes: Whom and When to Screen? A Nationwide Longitudinal Cohort Study of Swedish Children. Diabetes Care. 47(4). 756–760. 5 indexed citations
9.
10.
Studahl, Marie, Lars Gustavsson, Karin Åkesson, et al.. (2024). Antibiotic Use in Late Preterm and Full-Term Newborns. JAMA Network Open. 7(3). e243362–e243362. 7 indexed citations
11.
Albanese-O’Neill, Anastasia, Julia M. Grimsmann, Ann‐Marie Svensson, et al.. (2021). Changes in HbA1c Between 2011 and 2017 in Germany/Austria, Sweden, and the United States: A Lifespan Perspective. Diabetes Technology & Therapeutics. 24(1). 32–41. 18 indexed citations
12.
Forsander, Gun, Helena Elding Larsson, Sten A. Ivarsson, et al.. (2020). Celiac disease can be predicted by high levels of tissue transglutaminase antibodies in children and adolescents with type 1 diabetes. Pediatric Diabetes. 22(3). 417–424. 7 indexed citations
13.
Tindberg, Ylva, Ingemar Swenne, Karin Åkesson, et al.. (2017). Self- and parent-reported executive problems in adolescents with type 1 diabetes are associated with poor metabolic control and low physical activity. Pediatric Diabetes. 19(1). 98–105. 20 indexed citations
14.
Samuelsson, Ulf, et al.. (2015). Caesarean section per se does not increase the risk of offspring developing type 1 diabetes: a Swedish population-based study. Diabetologia. 58(11). 2517–2524. 22 indexed citations
15.
Samuelsson, Ulf, et al.. (2015). Teenagers with poor metabolic control already have a higher risk of microvascular complications as young adults. Journal of Diabetes and its Complications. 30(3). 533–536. 34 indexed citations
16.
Hanberger, Lena, et al.. (2014). Improved Results in Paediatric Diabetes Care Using a Quality Registry in an Improvement Collaborative: A Case Study in Sweden. PLoS ONE. 9(5). e97875–e97875. 47 indexed citations
17.
Ivergård, M, A Svedbom, E Hernlund, et al.. (2013). Epidemiology and Economic Burden of Osteoporosis in Sweden. Archives of Osteoporosis. 8. 1 indexed citations
18.
Åkesson, Karin, Annelie Carlsson, Sten A. Ivarsson, et al.. (2008). The non‐inherited maternal HLA haplotype affects the risk for type 1 diabetes. International Journal of Immunogenetics. 36(1). 1–8. 7 indexed citations
19.
Jensen, Richard A., Lisa K. Gilliam, Carina Törn, et al.. (2007). Islet cell autoantibody levels after the diagnosis of young adult diabetic patients. Diabetic Medicine. 24(11). 1221–1228. 12 indexed citations
20.
Åkesson, Karin, et al.. (2005). Increased risk of diabetes among relatives of female insulin‐treated patients diagnosed at 15–34 years of age. Diabetic Medicine. 22(11). 1551–1557. 3 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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