Eva Toft

2.5k citations
61 papers · 2.1k · h-index 27

Impact in

Papers in

Eva Toft

57 papers receiving 2.0k citations

Peers

Eva Toft
Comparison fields: 5 of 115
  • Physiology 729
  • Endocrinology, Diabetes and Metabolism 380
  • Endocrine and Autonomic Systems 92
  • Complementary and alternative medicine 103
  • Cardiology and Cardiovascular Medicine 278
Replace Koichiro Azuma with:
Koichiro Azuma Japan
Per‐Anders Jansson Sweden
D. E. Kelley United States
SW Coppack United Kingdom
Gerald M. Reaven United States
Styliani Goulopoulou United States
L. Groop Sweden
Naziha Kaabachi Tunisia
Eric J. Belin de Chantemèle United States
Nicole R. Stob United States
Eva Toft relative to Koichiro Azuma Japan Koichiro Azuma's profile →
Citations per field
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Koichiro Azuma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eva Toft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Toft Line = papers co-authored together Eva Toft links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005193
2 2010193
3 199799
4 201490
5 199684
6 200082
7 199878
8 200175
9 199873
10 199970
11 199766
12 200666
13 199763
14 199750
15 200448
16 200742
17 200140
18 201640
19 201438
20 201037

About Eva Toft

Eva Toft is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Cell Biology, Speech and Hearing and Surgery, having authored 61 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Diabetes Management and Research (11 papers), Muscle metabolism and nutrition (9 papers), Diet and metabolism studies (8 papers), Bariatric Surgery and Outcomes (6 papers), Diabetes and associated disorders (4 papers), Adolescent and Pediatric Healthcare (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Physiology (729 citations), Endocrinology, Diabetes and Metabolism (380 citations), Endocrine and Autonomic Systems (92 citations), Complementary and alternative medicine (103 citations) and Cardiology and Cardiovascular Medicine (278 citations). Eva Toft has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Peter Arner, Jan Bolinder, Erik Moberg, Veronica Qvisth, Hans Wahrenberg, Anders Thorell, L. G. Hellstrom, Staffan Enoksson, Mikael Rydén and Ellen E. Blaak. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetologia, Diabetes, American Journal of Physiology-Endocrinology and Metabolism and Hormone and Metabolic Research.

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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