Dag Sehlin
Impact in
- Biological Psychiatry top 2%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Physiology 55
- Alzheimer's disease research and treatments 55
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- Prion Diseases and Protein Misfolding 13
- Co-authors
- Stina Syvänen (65 shared papers)Lars Lannfelt (23 shared papers)Xiaotian T. Fang (11 shared papers)Greta Hultqvist (22 shared papers)Linda Söderberg (7 shared papers)Anna Erlandsson (9 shared papers)Frida Ekholm Pettersson (6 shared papers)Hillevi Englund (6 shared papers)
- Journals
- Fluids and Barriers of the CNS (5 papers)Journal of Alzheimer s Disease (4 papers)Alzheimer s Research & Therapy (4 papers)NeuroImage (4 papers)Scientific Reports (4 papers)
- Partner nations
- SwedenUnited KingdomDenmark
In The Last Decade
Dag Sehlin
83 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 185
- Neurology 520
- Physiology 1.5k
- Radiology, Nuclear Medicine and Imaging 512
- Cellular and Molecular Neuroscience 387
Countries citing papers authored by Dag Sehlin
This map shows the geographic impact of Dag Sehlin'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 Dag Sehlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dag Sehlin more than expected).
Fields of papers citing papers by Dag Sehlin
This network shows the impact of papers produced by Dag Sehlin. 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 Dag Sehlin. The network helps show where Dag Sehlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dag Sehlin, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 215 | |
| 2 | 2016 | 208 | |
| 3 | 2016 | 174 | |
| 4 | 2016 | 168 | |
| 5 | 2014 | 118 | |
| 6 | 2009 | 109 | |
| 7 | 2012 | 97 | |
| 8 | 2016 | 78 | |
| 9 | 2013 | 76 | |
| 10 | 2017 | 74 | |
| 11 | 2018 | 73 | |
| 12 | 2019 | 73 | |
| 13 | 2018 | 67 | |
| 14 | 2018 | 61 | |
| 15 | 2021 | 59 | |
| 16 | 2018 | 59 | |
| 17 | 2020 | 56 | |
| 18 | 2018 | 55 | |
| 19 | 2019 | 53 | |
| 20 | 2020 | 51 |
About Dag Sehlin
Dag Sehlin is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 88 papers that have together received 3.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (55 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Computational Drug Discovery Methods (14 papers), Prion Diseases and Protein Misfolding (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Click Chemistry and Applications (7 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). The work is most often cited by research in Biological Psychiatry (185 citations), Neurology (520 citations), Physiology (1.5k citations), Radiology, Nuclear Medicine and Imaging (512 citations) and Cellular and Molecular Neuroscience (387 citations). Dag Sehlin has collaborated with scholars based in Sweden, United Kingdom and Denmark. Frequent co-authors include Stina Syvänen, Lars Lannfelt, Xiaotian T. Fang, Greta Hultqvist, Linda Söderberg, Anna Erlandsson, Frida Ekholm Pettersson, Hillevi Englund, Pär Gellerfors and Silvio R. Meier. Their work appears in journals such as Fluids and Barriers of the CNS, Journal of Alzheimer s Disease, Alzheimer s Research & Therapy, NeuroImage and Scientific Reports.
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.