Hanne Løvdal Gulseth
- Rehabilitation top 2%
- Physiology top 2%
- Adipose Tissue and Metabolism 17
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 7
- Cell Biology top 5%
- Muscle metabolism and nutrition 8
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- Diabetes Management and Research 8
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Metabolism, Diabetes, and Cancer 7
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- Gestational Diabetes Research and Management 7
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- Diabetes and associated disorders 6
- Co-authors
- Kåre I. BirkelandChristian A. DrevonFrode NorheimTorgrim M. LangleiteJørgen JensenTorgeir HolenHans Kristian StadheimMarit Hjorth
- Partner nations
- NorwayDenmarkUnited Kingdom
In The Last Decade
Hanne Løvdal Gulseth
61 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Rehabilitation 272
- Physiology 867
- Infectious Diseases 328
- Cell Biology 232
- Endocrinology, Diabetes and Metabolism 223
Countries citing papers authored by Hanne Løvdal Gulseth
This map shows the geographic impact of Hanne Løvdal Gulseth'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 Løvdal Gulseth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanne Løvdal Gulseth more than expected).
Fields of papers citing papers by Hanne Løvdal Gulseth
This network shows the impact of papers produced by Hanne Løvdal Gulseth. 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 Løvdal Gulseth. The network helps show where Hanne Løvdal Gulseth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanne Løvdal Gulseth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Use of semaglutide and risk of non‐arteritic anterior ischemic optic neuropathy: A Danish–Norwegian cohort studybreakdown → | 2025 | 14 |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2019 | 32 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 25 | |
| 17 | 2018 | 50 | |
| 18 | 2018 | 46 | |
| 19 | 2017 | 38 | |
| 20 | 2016 | 54 |
About Hanne Løvdal Gulseth
Hanne Løvdal Gulseth is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Physiology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Muscle metabolism and nutrition (8 papers), Diabetes Management and Research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Gestational Diabetes Research and Management (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Rehabilitation (272 citations), Physiology (867 citations) and Infectious Diseases (328 citations). Hanne Løvdal Gulseth has collaborated with scholars based in Norway, Denmark and United Kingdom. Frequent co-authors include Kåre I. Birkeland, Christian A. Drevon, Frode Norheim, Torgrim M. Langleite, Jørgen Jensen, Torgeir Holen, Hans Kristian Stadheim, Marit Hjorth, Anders Kielland and Sindre Lee-Ødegård.
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.