Hanne Strøm

465 citations
13 papers · 316 · h-index 7

Impact in

Papers in

Hanne Strøm

13 papers receiving 311 citations

Peers

Hanne Strøm
Comparison fields: 5 of 74
  • Applied Microbiology and Biotechnology 37
  • Endocrinology, Diabetes and Metabolism 142
  • Geriatrics and Gerontology 19
  • Genetics 123
  • Pharmacology 37
Replace Peter Raubenheimer with:
Peter Raubenheimer South Africa
A. Calderón Spain
Robert J. Lipsy United States
Leire Leache Spain
S.F.M. Grimmer United Kingdom
Andrew Y. Hwang United States
Teresa P. McKaveney United States
A. J. Birtwell United Kingdom
Jacqueline S. Marinac United States
Scott V. Monte United States
Hanne Strøm relative to Peter Raubenheimer South Africa Peter Raubenheimer's profile →
Citations per field
00.5×5.6×
Peter Raubenheimer · 1×
Citations per year

Countries citing papers authored by Hanne Strøm

Since Specialization
Citations

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

Fields of papers citing papers by Hanne Strøm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013126
2 200077
3 201432
4 200330
5 201119
6
[How many and who are receiving medication for diabetes mellitus?].
200610
7
Legemiddelforbruket i Norge 2007-2011. Drug Consumption in Norway 2007-2011
20126
8 20135
9 20094
10
Legemiddelbruk hos barn og unge i Norge 2008–2017
20183
11
Legemiddelforbruket i Norge 2008 - 2012
20132
12
Hvor mange og hvem behandles medikamentelt for diabetes mellitus
20061
13 20091

About Hanne Strøm

Hanne Strøm is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Pharmacology, General Health Professions and Physiology, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Diabetes Treatment and Management (3 papers), Diabetes and associated disorders (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diet and metabolism studies (2 papers), Pancreatic function and diabetes (1 paper), Child Nutrition and Feeding Issues (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (37 citations), Endocrinology, Diabetes and Metabolism (142 citations), Geriatrics and Gerontology (19 citations), Genetics (123 citations) and Pharmacology (37 citations). Hanne Strøm has collaborated with scholars based in Norway, Belgium and Denmark. Frequent co-authors include Marit Rønning, Hege Salvesen Blix, Torild Skrivarhaug, Geir Joner, Lars C. Stene, Vidar Hjellvik, Christian Berg, Aage Tverdal, Morten Andersen and Eva Skovlund. Their work appears in journals such as European Journal of Clinical Pharmacology, Diabetologia, BMC Public Health, Epidemiology and Norsk Epidemiologi.

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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