Frida Renström

18.0k total citations · 2 hit papers
41 papers, 2.2k citations indexed

About

Frida Renström is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Genetics. According to data from OpenAlex, Frida Renström has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 14 papers in Physiology and 14 papers in Genetics. Recurrent topics in Frida Renström's work include Genetic Associations and Epidemiology (12 papers), Obesity, Physical Activity, Diet (10 papers) and Adipose Tissue and Metabolism (7 papers). Frida Renström is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Obesity, Physical Activity, Diet (10 papers) and Adipose Tissue and Metabolism (7 papers). Frida Renström collaborates with scholars based in Sweden, United States and United Kingdom. Frida Renström's co-authors include Paul W. Franks, Søren Brage, Vincent T. van Hees, Ulf Ekelund, Jan W. Eriksson, Emmanuel Dean‐Leon, M. Eder, Salman Taherian, Lukas Gorzelniak and Marcelo Pias and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Diabetes Care.

In The Last Decade

Frida Renström

41 papers receiving 2.2k citations

Hit Papers

Separating Movement and Gravity Components in an Accelera... 2013 2026 2017 2021 2013 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frida Renström Sweden 21 1.0k 728 406 334 329 41 2.2k
Hiroaki Tanaka Japan 34 1.5k 1.5× 633 0.9× 241 0.6× 309 0.9× 256 0.8× 160 3.6k
Yasuki Higaki Japan 33 1.6k 1.6× 447 0.6× 303 0.7× 520 1.6× 360 1.1× 201 3.7k
Tuomo Rankinen United States 31 1.7k 1.6× 585 0.8× 893 2.2× 252 0.8× 368 1.1× 68 3.8k
Mark A. Sarzynski United States 28 1.0k 1.0× 306 0.4× 687 1.7× 187 0.6× 262 0.8× 79 2.6k
Hassane Zouhal France 35 1.5k 1.4× 342 0.5× 216 0.5× 332 1.0× 186 0.6× 225 4.3k
Mylène Aubertin‐Leheudre Canada 34 2.2k 2.1× 558 0.8× 140 0.3× 242 0.7× 234 0.7× 141 3.8k
Julia H. Goedecke South Africa 35 2.0k 1.9× 1.0k 1.4× 260 0.6× 803 2.4× 857 2.6× 154 4.3k
Munehiro Shindo Japan 31 1.5k 1.4× 461 0.6× 212 0.5× 248 0.7× 294 0.9× 99 3.3k
Kirsten A. McAuley New Zealand 21 871 0.8× 787 1.1× 93 0.2× 385 1.2× 859 2.6× 42 2.2k
Nathalie Boisseau France 25 915 0.9× 266 0.4× 112 0.3× 192 0.6× 224 0.7× 71 2.3k

Countries citing papers authored by Frida Renström

Since Specialization
Citations

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

Fields of papers citing papers by Frida Renström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frida Renström

This figure shows the co-authorship network connecting the top 25 collaborators of Frida Renström. A scholar is included among the top collaborators of Frida Renström 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 Frida Renström. Frida Renström 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
2.
Renström, Frida, et al.. (2023). Efficacy of the Glucagon-Like Peptide-1 Receptor Agonists Liraglutide and Semaglutide for the Treatment of Weight Regain After Bariatric surgery: a Retrospective Observational Study. Obesity Surgery. 33(4). 1017–1025. 99 indexed citations breakdown →
5.
Poveda, Alaitz, Hugo Pomares‐Millan, Yan Chen, et al.. (2022). Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits. Scientific Reports. 12(1). 4088–4088. 6 indexed citations
6.
Renström, Frida, et al.. (2021). Representativeness of the Swiss Diabetes Registry – a single centre analysis. Swiss Medical Weekly. 151(2728). w20525–w20525. 4 indexed citations
7.
Renström, Frida, et al.. (2018). Compliance with guidelines for disease management in diabetes: results from the SwissDiab Registry. BMJ Open Diabetes Research & Care. 6(1). e000454–e000454. 10 indexed citations
8.
Tognon, Gianluca, Lena Nilsson, Dmitry Shungin, et al.. (2017). Nonfermented milk and other dairy products: associations with all-cause mortality,. American Journal of Clinical Nutrition. 105(6). 1502–1511. 57 indexed citations
9.
Winkvist, Anna, Sofia Klingberg, Lena Nilsson, et al.. (2017). Longitudinal 10-year changes in dietary intake and associations with cardio-metabolic risk factors in the Northern Sweden Health and Disease Study. Nutrition Journal. 16(1). 20–20. 31 indexed citations
10.
Poveda, Alaitz, Yan Chen, Anders Brändström, et al.. (2016). The heritable basis of gene–environment interactions in cardiometabolic traits. Diabetologia. 60(3). 442–452. 26 indexed citations
11.
Ahmad, Shafqat, Alaitz Poveda, Dmitry Shungin, et al.. (2016). Established BMI-associated genetic variants and their prospective associations with BMI and other cardiometabolic traits: the GLACIER Study. International Journal of Obesity. 40(9). 1346–1352. 18 indexed citations
12.
Ahmad, Shafqat, Wei Zhao, Frida Renström, et al.. (2015). Physical activity, smoking, and genetic predisposition to obesity in people from Pakistan: the PROMIS study. BMC Medical Genetics. 16(1). 114–114. 29 indexed citations
13.
Rukh, Gull, Shafqat Ahmad, Ulrika Ericson, et al.. (2015). Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age. International Journal of Obesity. 40(2). 252–259. 20 indexed citations
14.
Poveda, Alaitz, Robert W. Koivula, Shafqat Ahmad, et al.. (2015). Innate biology versus lifestyle behaviour in the aetiology of obesity and type 2 diabetes: the GLACIER Study. Diabetologia. 59(3). 462–471. 12 indexed citations
15.
Palming, Jenny, Tore Persson, Maria J. Pereira, et al.. (2013). Differences between men and women in the regulation of adipose 11β‐ HSD1 and in its association with adiposity and insulin resistance. Diabetes Obesity and Metabolism. 15(11). 1056–1060. 9 indexed citations
16.
Renström, Frida, et al.. (2013). Dietary intake assessment in women with different weight and pregnancy status using a short questionnaire. Public Health Nutrition. 17(9). 1939–1948. 9 indexed citations
17.
Hees, Vincent T. van, Lukas Gorzelniak, Emmanuel Dean‐Leon, et al.. (2013). Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity. PLoS ONE. 8(4). e61691–e61691. 616 indexed citations breakdown →
18.
Gradmark, Anna, Jeremy Pomeroy, Frida Renström, et al.. (2011). Physical activity, sedentary behaviors, and estimated insulin sensitivity and secretion in pregnant and non-pregnant women. BMC Pregnancy and Childbirth. 11(1). 44–44. 56 indexed citations
19.
Lundgren, Maria, Maria Svensson, Stina Lindmark, et al.. (2007). Fat cell enlargement is an independent marker of insulin resistance and ‘hyperleptinaemia’. Diabetologia. 50(3). 625–633. 223 indexed citations
20.
Renström, Frida, Jonas Burén, Maria Svensson, & Jan W. Eriksson. (2007). Insulin resistance induced by high glucose and high insulin precedes insulin receptor substrate 1 protein depletion in human adipocytes. Metabolism. 56(2). 190–198. 34 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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