Anna Ehrlund
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Adipose Tissue and Metabolism 6
- Co-authors
- Mikael Rydén (8 shared papers)Peter Arner (10 shared papers)Jurga Laurencikiene (8 shared papers)Ingrid Dahlman (5 shared papers)Eckardt Treuter (5 shared papers)Niklas Mejhert (6 shared papers)Silvia Lorente‐Cebrián (3 shared papers)Nicolas Venteclef (3 shared papers)
- Journals
- PLoS ONE (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Diabetes (2 papers)Cell Reports (1 paper)Cell Metabolism (1 paper)
- Partner nations
- SwedenUnited StatesJapan
In The Last Decade
Anna Ehrlund
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 200
- Physiology 306
- Epidemiology 283
- Molecular Biology 486
- Immunology 121
Countries citing papers authored by Anna Ehrlund
This map shows the geographic impact of Anna Ehrlund'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 Ehrlund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ehrlund more than expected).
Fields of papers citing papers by Anna Ehrlund
This network shows the impact of papers produced by Anna Ehrlund. 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 Ehrlund. The network helps show where Anna Ehrlund may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Ehrlund, 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 | 2012 | 264 | |
| 2 | 2010 | 157 | |
| 3 | 2013 | 129 | |
| 4 | 2009 | 101 | |
| 5 | 2014 | 84 | |
| 6 | 2016 | 59 | |
| 7 | 2017 | 50 | |
| 8 | 2014 | 47 | |
| 9 | 2009 | 43 | |
| 10 | 2017 | 37 | |
| 11 | 2011 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2017 | 29 | |
| 14 | 2016 | 28 | |
| 15 | 2012 | 22 | |
| 16 | 2016 | 21 |
About Anna Ehrlund
Anna Ehrlund is a scholar working on Epidemiology, Physiology, Molecular Biology, Surgery and Genetics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (6 papers), Cholesterol and Lipid Metabolism (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Estrogen and related hormone effects (2 papers), Apelin-related biomedical research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cancer Research (200 citations), Physiology (306 citations), Epidemiology (283 citations), Molecular Biology (486 citations) and Immunology (121 citations). Anna Ehrlund has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Mikael Rydén, Peter Arner, Jurga Laurencikiene, Ingrid Dahlman, Eckardt Treuter, Niklas Mejhert, Silvia Lorente‐Cebrián, Nicolas Venteclef, Anastasios Damdimopoulos and Knut R. Steffensen. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Diabetes, Cell Reports and Cell 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.