Eva Dahlén
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Genetics top 10%
- Diabetes and associated disorders
Papers in
-
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- IL-33, ST2, and ILC Pathways 1
- Genetics 5
- Diabetes and associated disorders 5
- Co-authors
- Gunnar Hedlund (6 shared papers)Kim Dawe (5 shared papers)Lennart Ohlsson (3 shared papers)Per Norlén (2 shared papers)Niina Veitonmäki (2 shared papers)Peter Ellmark (2 shared papers)Sara M. Mangsbo (1 shared paper)Christina Furebring (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)International Immunopharmacology (2 papers)Clinical Cancer Research (1 paper)Cancer Immunology Research (1 paper)Journal of Immunotoxicology (1 paper)
- Partner nations
- SwedenIsraelNetherlands
In The Last Decade
Eva Dahlén
10 papers receiving 638 citations
Peers
Comparison fields: 5 of 61
- Immunology 407
- Genetics 254
- Oncology 199
- Endocrinology, Diabetes and Metabolism 76
- Radiology, Nuclear Medicine and Imaging 96
Countries citing papers authored by Eva Dahlén
This map shows the geographic impact of Eva Dahlén'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 Dahlén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Dahlén more than expected).
Fields of papers citing papers by Eva Dahlén
This network shows the impact of papers produced by Eva Dahlén. 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 Dahlén. The network helps show where Eva Dahlén may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Dahlén, 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 | Dendritic cells and macrophages are the first and major producers of TNF-alpha in pancreatic islets in the nonobese diabetic mouse. | 1998 | 152 |
| 2 | 2018 | 150 | |
| 3 | 1998 | 139 | |
| 4 | 2014 | 84 | |
| 5 | 2000 | 83 | |
| 6 | 2001 | 19 | |
| 7 | 2000 | 19 | |
| 8 | 2008 | 5 | |
| 9 | 2003 | 4 | |
| 10 | 2019 | 1 |
About Eva Dahlén
Eva Dahlén is a scholar working on Immunology, Genetics, Surgery, Molecular Biology and Oncology, having authored 10 papers that have together received 656 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Immune Cell Function and Interaction (5 papers), Pancreatic function and diabetes (4 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Diabetes Management and Research (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (407 citations), Genetics (254 citations), Oncology (199 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Eva Dahlén has collaborated with scholars based in Sweden, Israel and Netherlands. Frequent co-authors include Gunnar Hedlund, Kim Dawe, Lennart Ohlsson, Per Norlén, Niina Veitonmäki, Peter Ellmark, Sara M. Mangsbo, Christina Furebring, Thomas H. Tötterman and Malin Lindstedt. Their work appears in journals such as The Journal of Immunology, International Immunopharmacology, Clinical Cancer Research, Cancer Immunology Research and Journal of Immunotoxicology.
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.