Robert W. Koivula

2.6k total citations
15 papers, 272 citations indexed

About

Robert W. Koivula is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Physiology. According to data from OpenAlex, Robert W. Koivula has authored 15 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 5 papers in Physiology. Recurrent topics in Robert W. Koivula's work include Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipid metabolism and disorders (4 papers). Robert W. Koivula is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipid metabolism and disorders (4 papers). Robert W. Koivula collaborates with scholars based in Sweden, United Kingdom and United States. Robert W. Koivula's co-authors include Paul W. Franks, Göran Hallmans, Åsa Tornberg, Naveed Sattar, Ingegerd Johansson, Frida Renström, Lars Østergaard, Frida Renström, Patrik Wennberg and Anders Grøntved and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Lipid Research and Diabetologia.

In The Last Decade

Robert W. Koivula

15 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert W. Koivula Sweden 9 92 90 61 50 48 15 272
Made Ratna Saraswati Indonesia 10 78 0.8× 117 1.3× 84 1.4× 41 0.8× 26 0.5× 60 359
Dominique Ballaux Belgium 9 104 1.1× 122 1.4× 32 0.5× 78 1.6× 50 1.0× 17 307
Ehsan Parvaresh Rizi Singapore 12 71 0.8× 130 1.4× 40 0.7× 44 0.9× 29 0.6× 20 291
Magdalena Pertyńska−Marczewska Poland 10 59 0.6× 153 1.7× 43 0.7× 81 1.6× 76 1.6× 20 467
Germán Rodríguez Spain 10 134 1.5× 49 0.5× 103 1.7× 21 0.4× 148 3.1× 13 454
Ligeia Damaso United States 11 101 1.1× 157 1.7× 92 1.5× 41 0.8× 96 2.0× 12 394
Anize Delfino von Frankenberg Brazil 8 115 1.3× 77 0.9× 70 1.1× 29 0.6× 41 0.9× 16 324
Zelija Velija-Ašimi Bosnia and Herzegovina 12 52 0.6× 161 1.8× 86 1.4× 53 1.1× 79 1.6× 39 378
Justin I-Shing Tang United Kingdom 8 50 0.5× 77 0.9× 55 0.9× 42 0.8× 49 1.0× 9 359
Martha Eunice Rodríguez-Arellano Mexico 12 100 1.1× 50 0.6× 108 1.8× 33 0.7× 75 1.6× 26 371

Countries citing papers authored by Robert W. Koivula

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. Koivula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. Koivula. 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 Robert W. Koivula. The network helps show where Robert W. Koivula may publish in the future.

Co-authorship network of co-authors of Robert W. Koivula

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

All Works

15 of 15 papers shown
1.
Beulens, Joline W. J., Hailiang Mei, Roel Bijkerk, et al.. (2023). Altered blood gene expression in the obesity-related type 2 diabetes cluster may be causally involved in lipid metabolism: a Mendelian randomisation study. Diabetologia. 66(6). 1057–1070. 19 indexed citations
2.
Ibi, Dorina, Martijn E.T. Dollé, J. Wouter Jukema, et al.. (2022). Apolipoprotein A-V is a potential target for treating coronary artery disease: evidence from genetic and metabolomic analyses. Journal of Lipid Research. 63(5). 100193–100193. 5 indexed citations
3.
Trichia, Eirini, Matt J. Neville, Hannah Taylor, et al.. (2022). Polygenic risk in Type III hyperlipidaemia and risk of cardiovascular disease: An epidemiological study in UK Biobank and Oxford Biobank. International Journal of Cardiology. 373. 72–78. 4 indexed citations
4.
Ibi, Dorina, Lisanne L. Blauw, Raymond Noordam, et al.. (2021). Triglyceride-lowering LPL alleles combined with LDL-C-lowering alleles are associated with an additively improved lipoprotein profile. Atherosclerosis. 328. 144–152. 7 indexed citations
5.
Mazidi, Mohsen, Ana M. Valdes, José M. Ordovás, et al.. (2021). Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants. American Journal of Clinical Nutrition. 114(3). 1028–1038. 48 indexed citations
6.
Scherer, Nina, Azra Kurbasic, Christiane Dings, et al.. (2019). The Impact and Correction of Analysis Delay and Variability in Storage Temperature on the Assessment of HbA1c from Dried Blood Spots - an IMI DIRECT Study. 5(7). 7–13. 2 indexed citations
7.
Koivula, Robert W., et al.. (2018). Physical Activity in a Randomized Culturally Adapted Lifestyle Intervention. American Journal of Preventive Medicine. 55(2). 187–196. 11 indexed citations
8.
Siddiqui, Faiza, Robert W. Koivula, Azra Kurbasic, et al.. (2017). Changes in objective physical activity in a randomised lifestyle intervention among diabetes prone Middle-Eastern immigrants and its association with insulin sensitivity. Diabetologia. 60. 1 indexed citations
9.
Preiss, David, Adem Y. Dawed, Paul Welsh, et al.. (2016). Sustained influence of metformin therapy on circulating glucagon‐like peptide‐1 levels in individuals with and without type 2 diabetes. Diabetes Obesity and Metabolism. 19(3). 356–363. 48 indexed citations
10.
Grøntved, Anders, Robert W. Koivula, Ingegerd Johansson, et al.. (2016). Bicycling to Work and Primordial Prevention of Cardiovascular Risk: A Cohort Study Among Swedish Men and Women. Journal of the American Heart Association. 5(11). 36 indexed citations
11.
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
12.
Renström, Frida, Robert W. Koivula, Tibor V. Varga, et al.. (2015). Season-dependent associations of circadian rhythm-regulating loci (CRY1, CRY2 and MTNR1B) and glucose homeostasis: the GLACIER Study. Diabetologia. 58(5). 997–1005. 28 indexed citations
13.
Varga, Tibor V., Emily Sonestedt, Dmitry Shungin, et al.. (2014). Genetic Determinants of Long-Term Changes in Blood Lipid Concentrations: 10-Year Follow-Up of the GLACIER Study. PLoS Genetics. 10(6). e1004388–e1004388. 23 indexed citations
14.
Koivula, Robert W., Åsa Tornberg, & Paul W. Franks. (2013). Exercise and Diabetes-Related Cardiovascular Disease: Systematic Review of Published Evidence from Observational Studies and Clinical Trials. Current Diabetes Reports. 13(3). 372–380. 24 indexed citations
15.
Clemes, Stacy A., Charlotte L. Edwardson, Theocharis Konstantinidis, et al.. (2012). Validity of the ActiGraph GT3X+inclinometer and different counts per minute cut-points for the assessment of sedentary behaviour. Journal of science and medicine in sport. 15. S68–S68. 4 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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