Jonas Bech Møller
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Family Practice top 10%
- Medication Adherence and Compliance
Papers in
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- Diabetes Management and Research 15
- Diabetes Treatment and Management 8
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Genetics 4
- Diabetes and associated disorders 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
- Co-authors
- Anne KaasNiels Væver HartvigPeter AdolfssonSteen H. IngwersenJarl HellmanRune Viig OvergaardMitsuru OhsugiHaruhiko Tanaka
- Journals
- Diabetes (4 papers)Diabetes Therapy (2 papers)Journal of Diabetes Science and Technology (2 papers)Journal of Pharmacokinetics and Pharmacodynamics (2 papers)Diabetes Obesity and Metabolism (1 paper)
- Partner nations
- DenmarkSwedenUnited States
In The Last Decade
Jonas Bech Møller
17 papers receiving 453 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 356
- Family Practice 29
- Genetics 127
- Surgery 156
- Genetics 31
Countries citing papers authored by Jonas Bech Møller
This map shows the geographic impact of Jonas Bech Møller'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 Jonas Bech Møller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Bech Møller more than expected).
Fields of papers citing papers by Jonas Bech Møller
This network shows the impact of papers produced by Jonas Bech Møller. 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 Jonas Bech Møller. The network helps show where Jonas Bech Møller may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Bech Møller, 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 | 2023 | 8 | |
| 2 | 2022 | 18 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 76 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2014 | 78 | |
| 12 | 2014 | 33 | |
| 13 | 2013 | 112 | |
| 14 | 2013 | 45 | |
| 15 | Model Based Analysis of Ethnic Differences in Type 2 Diabetes | 2012 | 1 |
| 16 | 2011 | 14 | |
| 17 | 2009 | 13 |
About Jonas Bech Møller
Jonas Bech Møller is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Genetics, Surgery and Hematology, having authored 17 papers that have together received 463 indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes Treatment and Management (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Family Practice (29 citations), Genetics (127 citations), Surgery (156 citations) and Genetics (31 citations). Jonas Bech Møller has collaborated with scholars based in Denmark, Sweden and United States. Frequent co-authors include Anne Kaas, Niels Væver Hartvig, Peter Adolfsson, Steen H. Ingwersen, Jarl Hellman, Rune Viig Overgaard, Mitsuru Ohsugi, Haruhiko Tanaka, Takashi Kadowaki and Maria Pedersen. Their work appears in journals such as Diabetes, Diabetes Therapy, Journal of Diabetes Science and Technology, Journal of Pharmacokinetics and Pharmacodynamics and Diabetes Obesity and Metabolism.
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.