Mette K. Andersen
Impact in
-
- Diabetes Management and Research
- Genetics top 10%
- Diabetes and associated disorders
- Genetic Associations and Epidemiology
Papers in
- Genetics 21
- Diabetes and associated disorders 9
- Genetic Associations and Epidemiology 8
- Genetic and phenotypic traits in livestock 4
-
- Diabetes Management and Research 3
- Co-authors
- Torben Hansen (28 shared papers)Oluf Pedersen (9 shared papers)Anders Albrechtsen (13 shared papers)Niels Grarup (14 shared papers)Carol Forsblom (3 shared papers)Per‐Henrik Groop (3 shared papers)Ida Moltke (10 shared papers)Camilla Andreasen (3 shared papers)
In The Last Decade
Mette K. Andersen
42 papers receiving 782 citations
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 166
- Genetics 280
- Hematology 93
- Public Health, Environmental and Occupational Health 158
- Endocrine and Autonomic Systems 36
Countries citing papers authored by Mette K. Andersen
This map shows the geographic impact of Mette K. Andersen'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 Mette K. Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette K. Andersen more than expected).
Fields of papers citing papers by Mette K. Andersen
This network shows the impact of papers produced by Mette K. Andersen. 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 Mette K. Andersen. The network helps show where Mette K. Andersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mette K. Andersen, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 121 | |
| 2 | 2010 | 65 | |
| 3 | 2008 | 60 | |
| 4 | 2006 | 52 | |
| 5 | 2007 | 50 | |
| 6 | 2014 | 47 | |
| 7 | 2014 | 38 | |
| 8 | 2007 | 28 | |
| 9 | 2008 | 25 | |
| 10 | 2009 | 23 | |
| 11 | 2007 | 22 | |
| 12 | 2007 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2018 | 13 | |
| 19 | 2024 | 12 | |
| 20 | 2018 | 12 |
About Mette K. Andersen
Mette K. Andersen is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Public Health, Environmental and Occupational Health and Surgery, having authored 46 papers that have together received 796 indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Genetic Associations and Epidemiology (8 papers), Acute Lymphoblastic Leukemia research (5 papers), Genetic and phenotypic traits in livestock (4 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), Lung Cancer Research Studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (166 citations), Genetics (280 citations), Hematology (93 citations), Public Health, Environmental and Occupational Health (158 citations) and Endocrine and Autonomic Systems (36 citations). Mette K. Andersen has collaborated with scholars based in Denmark, Sweden and Finland. Frequent co-authors include Torben Hansen, Oluf Pedersen, Anders Albrechtsen, Niels Grarup, Carol Forsblom, Per‐Henrik Groop, Ida Moltke, Camilla Andreasen, Torben Jørgensen and Leif Groop. Their work appears in journals such as Genes Chromosomes and Cancer, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Current Diabetes Reports and Diabetes Care.
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.