Tina Rönn

7.2k total citations · 3 hit papers
40 papers, 4.6k citations indexed

About

Tina Rönn is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Tina Rönn has authored 40 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Surgery and 15 papers in Physiology. Recurrent topics in Tina Rönn's work include Epigenetics and DNA Methylation (24 papers), Pancreatic function and diabetes (18 papers) and Adipose Tissue and Metabolism (13 papers). Tina Rönn is often cited by papers focused on Epigenetics and DNA Methylation (24 papers), Pancreatic function and diabetes (18 papers) and Adipose Tissue and Metabolism (13 papers). Tina Rönn collaborates with scholars based in Sweden, Denmark and Finland. Tina Rönn's co-authors include Charlotte Ling, Petr Volkov, Emma Nilsson, Leif Groop, Tasnim Dayeh, Karl Bacos, Elin Hall, Allan Vaag, Anders H. Olsson and Lena Eliasson and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Tina Rönn

40 papers receiving 4.5k citations

Hit Papers

Epigenetics in Human Obesity and Type 2 Diabetes 2013 2026 2017 2021 2019 2013 2014 100 200 300 400 500

Peers

Tina Rönn
Inês Barroso United Kingdom
Sayuko Kobes United States
Sandra J. Hasstedt United States
Dan Xu China
Michał M. Masternak United States
Tina Rönn
Citations per year, relative to Tina Rönn Tina Rönn (= 1×) peers Petr Volkov

Countries citing papers authored by Tina Rönn

Since Specialization
Citations

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

Fields of papers citing papers by Tina Rönn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Rönn

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Rönn. A scholar is included among the top collaborators of Tina Rönn 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 Tina Rönn. Tina Rönn 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.
Perfilyev, Alexander, Unn Kugelberg, Stephan Ruhrmann, et al.. (2024). Impact of excess sugar on the whole genome DNA methylation pattern in human sperm. Epigenomics. 17(2). 89–104. 2 indexed citations
2.
Rönn, Tina, Jones K. Ofori, Alexander Perfilyev, et al.. (2023). Genes with epigenetic alterations in human pancreatic islets impact mitochondrial function, insulin secretion, and type 2 diabetes. Nature Communications. 14(1). 8040–8040. 36 indexed citations
3.
Rönn, Tina, Alexander Perfilyev, Karl‐Fredrik Eriksson, et al.. (2023). Circulating triglycerides are associated with human adipose tissue DNA methylation of genes linked to metabolic disease. Human Molecular Genetics. 32(11). 1875–1887. 7 indexed citations
4.
Ling, Charlotte, Karl Bacos, & Tina Rönn. (2022). Epigenetics of type 2 diabetes mellitus and weight change — a tool for precision medicine?. Nature Reviews Endocrinology. 18(7). 433–448. 76 indexed citations
5.
Ouni, Meriem, Sophie Saussenthaler, Fabian Eichelmann, et al.. (2020). Epigenetic Changes in Islets of Langerhans Preceding the Onset of Diabetes. Diabetes. 69(11). 2503–2517. 24 indexed citations
6.
Ågren, Rasmus, Cajsa Davegårdh, Petr Volkov, et al.. (2019). ATAC-seq reveals alterations in open chromatin in pancreatic islets from subjects with type 2 diabetes. Scientific Reports. 9(1). 7785–7785. 43 indexed citations
7.
Gillberg, Linn, Tina Rönn, Sine W. Jørgensen, et al.. (2019). Fasting unmasks differential fat and muscle transcriptional regulation of metabolic gene sets in low versus normal birth weight men. EBioMedicine. 47. 341–351. 13 indexed citations
8.
Ling, Charlotte & Tina Rönn. (2019). Epigenetics in Human Obesity and Type 2 Diabetes. Cell Metabolism. 29(5). 1028–1044. 594 indexed citations breakdown →
9.
Rönn, Tina, P. Volkov, Linn Gillberg, et al.. (2015). Impact of age, BMI and HbA1c levels on the genome-wide DNA methylation and mRNA expression patterns in human adipose tissue and identification of epigenetic biomarkers in blood. Human Molecular Genetics. 24(13). 3792–813. 212 indexed citations
10.
Agardh, Elisabet, Alexander Perfilyev, Petr Volkov, et al.. (2015). Genome-wide analysis of DNA methylation in subjects with type 1 diabetes identifies epigenetic modifications associated with proliferative diabetic retinopathy. BMC Medicine. 13(1). 182–182. 103 indexed citations
11.
Hall, Elin, Petr Volkov, Tasnim Dayeh, et al.. (2014). Effects of palmitate on genome-wide mRNA expression and DNA methylation patterns in human pancreatic islets. BMC Medicine. 12(1). 103–103. 101 indexed citations
12.
Ling, Charlotte & Tina Rönn. (2014). Epigenetic adaptation to regular exercise in humans. Drug Discovery Today. 19(7). 1015–1018. 81 indexed citations
13.
Dayeh, Tasnim, Petr Volkov, Sofia Salö, et al.. (2014). Genome-Wide DNA Methylation Analysis of Human Pancreatic Islets from Type 2 Diabetic and Non-Diabetic Donors Identifies Candidate Genes That Influence Insulin Secretion. PLoS Genetics. 10(3). e1004160–e1004160. 363 indexed citations breakdown →
14.
Rönn, Tina, Petr Volkov, Cajsa Davegårdh, et al.. (2013). A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue. PLoS Genetics. 9(6). e1003572–e1003572. 457 indexed citations breakdown →
15.
Ahmad, Shafqat, Alexandros Heraclides, Qi Sun, et al.. (2012). Telomere length in blood and skeletal muscle in relation to measures of glycaemia and insulinaemia. Diabetic Medicine. 29(10). e377–81. 20 indexed citations
16.
Elgzyri, Targ, Hemang Parikh, Yuedan Zhou, et al.. (2012). First-Degree Relatives of Type 2 Diabetic Patients Have Reduced Expression of Genes Involved in Fatty Acid Metabolism in Skeletal Muscle. The Journal of Clinical Endocrinology & Metabolism. 97(7). E1332–E1337. 18 indexed citations
17.
Wen, Jie, Tina Rönn, Anders Olsson, et al.. (2010). Investigation of Type 2 Diabetes Risk Alleles Support CDKN2A/B, CDKAL1, and TCF7L2 As Susceptibility Genes in a Han Chinese Cohort. PLoS ONE. 5(2). e9153–e9153. 102 indexed citations
18.
Osmark, Peter, Ola Hansson, Anna Jonsson, et al.. (2009). Unique splicing pattern of the TCF7L2 gene in human pancreatic islets. Diabetologia. 52(5). 850–854. 58 indexed citations
19.
Rönn, Tina, Pernille Poulsen, Ola Hansson, et al.. (2008). Age influences DNA methylation and gene expression of COX7A1 in human skeletal muscle. Diabetologia. 51(7). 1159–1168. 129 indexed citations
20.
Ling, Charlotte, S Del Guerra, R Lupi, et al.. (2008). Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion. Diabetologia. 51(4). 615–622. 366 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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