Anna Ehrlund
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Adipose Tissue and Metabolism 5
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Mikael Rydén (8 shared papers)Jurga Laurencikiene (7 shared papers)Peter Arner (9 shared papers)Ingrid Dahlman (5 shared papers)Niklas Mejhert (6 shared papers)Silvia Lorente‐Cebrián (3 shared papers)Eckardt Treuter (4 shared papers)Agné Kulyté (4 shared papers)
- Journals
- PLoS ONE (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Diabetes (2 papers)Stem Cell Research & Therapy (1 paper)Science (1 paper)
- Partner nations
- SwedenUnited StatesJapan
In The Last Decade
Anna Ehrlund
16 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 313
- Physiology 306
- Molecular Biology 773
- Epidemiology 253
- Immunology 137
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 | 2015 | 444 | |
| 2 | 2012 | 271 | |
| 3 | 2013 | 132 | |
| 4 | 2009 | 105 | |
| 5 | 2014 | 86 | |
| 6 | 2016 | 63 | |
| 7 | 2017 | 54 | |
| 8 | 2014 | 50 | |
| 9 | 2009 | 43 | |
| 10 | 2017 | 41 | |
| 11 | 2016 | 31 | |
| 12 | 2011 | 31 | |
| 13 | 2017 | 30 | |
| 14 | 2012 | 24 | |
| 15 | 2016 | 21 | |
| 16 | 2021 | 18 |
About Anna Ehrlund
Anna Ehrlund is a scholar working on Physiology, Epidemiology, Genetics, Molecular Biology and Cancer Research, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Cholesterol and Lipid Metabolism (2 papers), Estrogen and related hormone effects (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (313 citations), Physiology (306 citations), Molecular Biology (773 citations), Epidemiology (253 citations) and Immunology (137 citations). Anna Ehrlund has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Mikael Rydén, Jurga Laurencikiene, Peter Arner, Ingrid Dahlman, Niklas Mejhert, Silvia Lorente‐Cebrián, Eckardt Treuter, Agné Kulyté, Carsten Oliver Daub and Karin Dahlman‐Wright. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Diabetes, Stem Cell Research & Therapy and Science.
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.