Eva-Marie Andersson
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Surgery top 5%
- Pancreatic function and diabetes
Papers in
- Surgery 5
- Pancreatic function and diabetes 5
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- Diabetes Treatment and Management 2
- Diabetes Management and Research 1
- Co-authors
- Carina Ämmälä (4 shared papers)Rickard Sandberg (1 shared paper)Åsa Segerstolpe (1 shared paper)Alan Sabirsh (1 shared paper)Magnus K. Bjursell (1 shared paper)Anne‐Christine Andréasson (1 shared paper)Xiaoyan Sun (1 shared paper)Pernilla Eliasson (1 shared paper)
- Journals
- PLoS ONE (3 papers)The Lancet Rheumatology (1 paper)Cell Metabolism (1 paper)Cardiovascular Diabetology (1 paper)Science Advances (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Eva-Marie Andersson
8 papers receiving 1.3k citations
Eva-Marie Andersson's Hit Papers
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 278
- Surgery 615
- Biophysics 77
- Genetics 312
- Molecular Biology 734
Countries citing papers authored by Eva-Marie Andersson
This map shows the geographic impact of Eva-Marie Andersson'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 Eva-Marie Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva-Marie Andersson more than expected).
Fields of papers citing papers by Eva-Marie Andersson
This network shows the impact of papers produced by Eva-Marie Andersson. 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 Eva-Marie Andersson. The network helps show where Eva-Marie Andersson may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva-Marie Andersson, 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 | Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes Hit paper breakdown → | 2016 | 1099 |
| 2 | 2018 | 155 | |
| 3 | 2012 | 34 | |
| 4 | 2023 | 21 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2017 | 11 | |
| 8 | 2018 | 10 |
About Eva-Marie Andersson
Eva-Marie Andersson is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Physiology, Genetics and Cancer Research, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Diabetes Treatment and Management (2 papers), CRISPR and Genetic Engineering (1 paper), Diabetes and associated disorders (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Estrogen and related hormone effects (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (278 citations), Surgery (615 citations), Biophysics (77 citations), Genetics (312 citations) and Molecular Biology (734 citations). Eva-Marie Andersson has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Carina Ämmälä, Rickard Sandberg, Åsa Segerstolpe, Alan Sabirsh, Magnus K. Bjursell, Anne‐Christine Andréasson, Xiaoyan Sun, Pernilla Eliasson, Maryam Clausen and Simone Picelli. Their work appears in journals such as PLoS ONE, The Lancet Rheumatology, Cell Metabolism, Cardiovascular Diabetology and Science Advances.
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.