Eva Toft

2.5k total citations
54 papers, 1.8k citations indexed

About

Eva Toft is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eva Toft has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Physiology, 23 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eva Toft's work include Adipose Tissue and Metabolism (21 papers), Diabetes Management and Research (19 papers) and Diet and metabolism studies (12 papers). Eva Toft is often cited by papers focused on Adipose Tissue and Metabolism (21 papers), Diabetes Management and Research (19 papers) and Diet and metabolism studies (12 papers). Eva Toft collaborates with scholars based in Sweden, United Kingdom and Denmark. Eva Toft's co-authors include Peter Arner, Jan Bolinder, Erik Moberg, Veronica Qvisth, Hans Wahrenberg, Anders Thorell, L Hellström, Staffan Enoksson, Mikael Rydén and Urban Ungerstedt and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.

In The Last Decade

Eva Toft

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Toft Sweden 24 942 512 367 366 361 54 1.8k
Koichiro Azuma Japan 24 1.2k 1.3× 359 0.7× 379 1.0× 571 1.6× 335 0.9× 47 2.2k
G. M. Reaven United States 26 854 0.9× 865 1.7× 357 1.0× 368 1.0× 336 0.9× 43 2.0k
Joy C. Bunt United States 24 1.0k 1.1× 643 1.3× 356 1.0× 484 1.3× 210 0.6× 42 2.4k
D. E. Kelley United States 5 1.1k 1.2× 279 0.5× 170 0.5× 266 0.7× 172 0.5× 5 1.5k
R. E. Bourey United States 22 970 1.0× 474 0.9× 325 0.9× 172 0.5× 238 0.7× 31 2.0k
C. Bogardus United States 18 1.1k 1.2× 611 1.2× 267 0.7× 389 1.1× 159 0.4× 29 2.1k
Johanna A. Pallotta United States 19 1.0k 1.1× 773 1.5× 411 1.1× 275 0.8× 604 1.7× 36 2.7k
Giuseppe Murdolo Italy 26 814 0.9× 505 1.0× 257 0.7× 367 1.0× 208 0.6× 48 2.0k
M. Brochu Canada 28 1.1k 1.1× 822 1.6× 198 0.5× 445 1.2× 460 1.3× 83 2.9k
Janet L. Vittone United States 12 969 1.0× 731 1.4× 162 0.4× 176 0.5× 147 0.4× 14 2.1k

Countries citing papers authored by Eva Toft

Since Specialization
Citations

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

Fields of papers citing papers by Eva Toft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Toft

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Toft. A scholar is included among the top collaborators of Eva Toft 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 Eva Toft. Eva Toft 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.
Amsberg, Susanne, et al.. (2023). Living with Type 1 Diabetes as Experienced by Adults with Prolonged Elevated HbA1c: A Qualitative Study. Diabetes Therapy. 14(10). 1673–1684. 3 indexed citations
2.
Ólafsdóttir, Arndís F., et al.. (2023). The effect of carbohydrate intake on glycaemic control in individuals with type 1 diabetes: a randomised, open-label, crossover trial. The Lancet Regional Health - Europe. 37. 100799–100799. 4 indexed citations
4.
Nerpin, Elisabet, et al.. (2020). A virtual clinic for the management of diabetes-type 1: study protocol for a randomised wait-list controlled clinical trial. BMC Endocrine Disorders. 20(1). 137–137. 6 indexed citations
5.
Persson, Martina, et al.. (2019). Treatment satisfaction correlated with glycaemic control and burden of diabetes in Swedish adolescents with type 1 diabetes. Acta Paediatrica. 109(3). 573–580. 8 indexed citations
7.
Pournaras, Dimitri J., Jonas Nygren, Eva Toft, et al.. (2016). Improved glucose metabolism after gastric bypass: evolution of the paradigm. Surgery for Obesity and Related Diseases. 12(8). 1457–1465. 37 indexed citations
8.
Adolfsson, Rolf, Stig Attvall, David Erlinge, et al.. (2010). Swedish clinical guidelines—Prevention and management of metabolic risk in patients with severe psychiatric disorders. Nordic Journal of Psychiatry. 64(5). 294–302. 36 indexed citations
9.
Hoffstedt, Johan, Peter Arner, Hans Wahrenberg, et al.. (2010). Regional impact of adipose tissue morphology on the metabolic profile in morbid obesity. Diabetologia. 53(12). 2496–2503. 180 indexed citations
10.
Qvisth, Veronica, Eva Toft, Erik Moberg, Stefan Sjöberg, & Jan Bolinder. (2006). Lactate release from adipose tissue and skeletal muscle in vivo: defective insulin regulation in insulin-resistant obese women. American Journal of Physiology-Endocrinology and Metabolism. 292(3). E709–E714. 62 indexed citations
11.
Enoksson, Staffan, Eva Toft, Kjell Hultenby, et al.. (2005). Marked Reutilization of Free Fatty Acids during Activated Lipolysis in Human Skeletal Muscle. The Journal of Clinical Endocrinology & Metabolism. 90(2). 1189–1195. 14 indexed citations
12.
Wahrenberg, Hans, et al.. (2005). Use of waist circumference to predict insulin resistance: retrospective study. BMJ. 330(7504). 1363–1364. 188 indexed citations
13.
Qvisth, Veronica, Eva Toft, Staffan Enoksson, et al.. (2004). Combined Hyperinsulinemia and Hyperglycemia, But Not Hyperinsulinemia Alone, Suppress Human Skeletal Muscle Lipolytic Activityin Vivo. The Journal of Clinical Endocrinology & Metabolism. 89(9). 4693–4700. 12 indexed citations
14.
Tibell, Annika, Jan Bolinder, Eva Toft, et al.. (2001). Experience with human islet transplantation in Sweden. Transplantation Proceedings. 33(4). 2535–2536. 6 indexed citations
15.
Bertin, Éric, Peter Arner, Jan Bolinder, & Eva Toft. (2001). Action of Glucagon and Glucagon-Like Peptide-1-(7-36) Amide on Lipolysis in Human Subcutaneous Adipose Tissue and Skeletal Musclein Vivo1. The Journal of Clinical Endocrinology & Metabolism. 86(3). 1229–1234. 75 indexed citations
16.
Toft, Eva, L Hellström, & Erik Moberg. (1998). Lipolytic Response During Spontaneous Hypoglycaemia in Insulin-Dependent Diabetic Subjects. Hormone and Metabolic Research. 30(9). 586–593. 6 indexed citations
17.
Moberg, Erik, et al.. (1997). Protracted glucose fall in subcutaneous adipose tissue and skeletal muscle compared with blood during insulin-induced hypoglycaemia. Diabetologia. 40(11). 1320–1326. 66 indexed citations
18.
Toft, Eva. (1997). Microdialysis for the Assessment of Catecholamine-Induced Lipolysis in Adipose and Skeletal Muscle Tissue. Advances in pharmacology. 42. 634–638. 2 indexed citations
19.
Toft, Eva, Jan Bolinder, Urban Ungerstedt, & Peter Arner. (1997). A circadian rhythm in lipid mobilization which is altered in IDDM. Diabetologia. 40(9). 1070–1078. 52 indexed citations
20.
Wennlund, A, Hans Wahrenberg, Eva Toft, Jan Bolinder, & Peter Arner. (1994). Lipolytic and Cardiac Responses to Various Forms of Stress in Humans. International Journal of Sports Medicine. 15(7). 408–413. 11 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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