Sofia Gudbjörnsdottir

576 citations
14 papers · 457 · h-index 7

Impact in

Papers in

Sofia Gudbjörnsdottir

12 papers receiving 429 citations

Peers

Sofia Gudbjörnsdottir
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 334
  • Cardiology and Cardiovascular Medicine 41
  • Pharmacology 25
  • Public Health, Environmental and Occupational Health 32
  • Nephrology 8
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Citations per field
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Citations per year

Countries citing papers authored by Sofia Gudbjörnsdottir

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Gudbjörnsdottir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sofia Gudbjörnsdottir, 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 Sofia Gudbjörnsdottir Line = papers co-authored together Sofia Gudbjörnsdottir links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015202
2 201975
3 200673
4 200747
5 201829
6
Hypertension as a metabolic disorder--an overview.
199113
7 201910
8 20182
9
Successful long-term blood pressure control and lower incidence of cardiovascular disease: A report from the Swedish National Diabetes Register (NDR)
20081
10
Risk prediction of cardiovascular disease in type 2 diabetes : a new risk equation from the Swedish NDR
20101
11
Durability of oral hypoglycaemic agents in drug naive patients with type 2 diabetes : observational study from the Swedish National Diabetes Register (NDR)
20131
12
Cancer occurrence in type 1 diabetes patients: a 4-country study with 8800 cancer cases in 3.7 mio person-years
20151
13 20191
14 20191

About Sofia Gudbjörnsdottir

Sofia Gudbjörnsdottir is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Health Information Management, Statistics and Probability and Pharmacology, having authored 14 papers that have together received 457 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Management and Research (5 papers), Diabetes Treatment and Management (3 papers), Blood Pressure and Hypertension Studies (2 papers), Statistical Methods in Epidemiology (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Pharmacology and Obesity Treatment (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (334 citations), Cardiology and Cardiovascular Medicine (41 citations), Pharmacology (25 citations), Public Health, Environmental and Occupational Health (32 citations) and Nephrology (8 citations). Sofia Gudbjörnsdottir has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Jan Cederholm, Björn Eliasson, Ann‐Marie Svensson, Araz Rawshani, Mona Landin‐Olsson, Tarik Avdic, JOHAN H. JENDLE, Isabelle Isa Kristin Steineck, Björn Zethelius and Katarina Eeg‐Olofsson. Their work appears in journals such as Diabetologia, Diabetes Care, International Journal of Obesity, Journal of Hypertension and European Heart Journal.

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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