Anna Jonsson
Impact in
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Genetics top 5%
- Genetic Associations and Epidemiology
- Diabetes and associated disorders
Papers in
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- Diabetes Treatment and Management 7
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diet, Metabolism, and Disease 2
- Diabetes Management and Research 1
- Genetics 11
- Genetic Associations and Epidemiology 8
- Co-authors
- Leif Groop (8 shared papers)Valeriya Lyssenko (8 shared papers)Bo Isomaa (7 shared papers)Peter M. Nilsson (3 shared papers)Torben Hansen (26 shared papers)David Altshuler (2 shared papers)Peter Almgren (2 shared papers)Nicolò Pulizzi (2 shared papers)
In The Last Decade
Anna Jonsson
40 papers receiving 2.2k citations
Anna Jonsson's Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 642
- Genetics 633
- Endocrine and Autonomic Systems 108
- Physiology 318
- Surgery 410
Countries citing papers authored by Anna Jonsson
This map shows the geographic impact of Anna Jonsson'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 Anna Jonsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Jonsson more than expected).
Fields of papers citing papers by Anna Jonsson
This network shows the impact of papers produced by Anna Jonsson. 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 Anna Jonsson. The network helps show where Anna Jonsson may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Jonsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Risk Factors, DNA Variants, and the Development of Type 2 Diabetes Hit paper breakdown → | 2008 | 650 |
| 2 | 2015 | 259 | |
| 3 | 2016 | 154 | |
| 4 | 2017 | 117 | |
| 5 | 2011 | 102 | |
| 6 | 2018 | 88 | |
| 7 | 2011 | 78 | |
| 8 | 2013 | 77 | |
| 9 | 2009 | 75 | |
| 10 | 2009 | 74 | |
| 11 | 2017 | 67 | |
| 12 | 2009 | 58 | |
| 13 | 2015 | 50 | |
| 14 | 2008 | 50 | |
| 15 | 2021 | 47 | |
| 16 | 2009 | 43 | |
| 17 | 2017 | 26 | |
| 18 | 2016 | 23 | |
| 19 | 2022 | 21 | |
| 20 | 2011 | 20 |
About Anna Jonsson
Anna Jonsson is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Epidemiology, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Diabetes Treatment and Management (7 papers), Diet and metabolism studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Pancreatic function and diabetes (3 papers), Diet, Metabolism, and Disease (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (642 citations), Genetics (633 citations), Endocrine and Autonomic Systems (108 citations), Physiology (318 citations) and Surgery (410 citations). Anna Jonsson has collaborated with scholars based in Denmark, Sweden and Finland. Frequent co-authors include Leif Groop, Valeriya Lyssenko, Bo Isomaa, Peter M. Nilsson, Torben Hansen, David Altshuler, Peter Almgren, Nicolò Pulizzi, Oluf Pedersen and Göran Berglund. Their work appears in journals such as Diabetologia, Diabetes, The Journal of Clinical Endocrinology & Metabolism, Journal of the American Heart Association and Endocrine Connections.
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.