Linda Söderberg
- Biological Psychiatry top 5%
- Physiology top 2%
- Alzheimer's disease research and treatments 25
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Pharmacology top 5%
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- Computational Drug Discovery Methods 4
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- Prion Diseases and Protein Misfolding 9
- Bioinformatics and Genomic Networks 3
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Lars LannfeltChrister MöllerDag SehlinHanna LaudonGunilla OsswaldMalin JohannessonAnna ErlandssonElisabeth Nikitidou
- Journals
- Molecular and Cellular Neuroscience (3 papers)Neurotherapeutics (2 papers)FEBS Journal (2 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Linda Söderberg
28 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Biological Psychiatry 145
- Physiology 1.0k
- Neurology 309
- Pharmacology 308
- Computational Theory and Mathematics 254
Countries citing papers authored by Linda Söderberg
This map shows the geographic impact of Linda Söderberg'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 Linda Söderberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Söderberg more than expected).
Fields of papers citing papers by Linda Söderberg
This network shows the impact of papers produced by Linda Söderberg. 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 Linda Söderberg. The network helps show where Linda Söderberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linda Söderberg, 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 | 2025 | 11 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 22 | |
| 6 | Lecanemab, Aducanumab, and Gantenerumab — Binding Profiles to Different Forms of Amyloid-Beta Might Explain Efficacy and Side Effects in Clinical Trials for Alzheimer's Diseasebreakdown → | 2022 | 270 |
| 7 | 2022 | 40 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 6 | |
| 11 | 2018 | 59 | |
| 12 | 2018 | 66 | |
| 13 | 2016 | 204 | |
| 14 | 2011 | 1 | |
| 15 | 2009 | 78 | |
| 16 | 2009 | 107 | |
| 17 | 2007 | 33 | |
| 18 | 2005 | 30 | |
| 19 | 2004 | 26 | |
| 20 | 2003 | 13 |
About Linda Söderberg
Linda Söderberg is a scholar working on Physiology, Neurology, Neurology, Molecular Biology and Computational Theory and Mathematics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Prion Diseases and Protein Misfolding (9 papers), Computational Drug Discovery Methods (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Bioinformatics and Genomic Networks (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biological Psychiatry (145 citations), Physiology (1.0k citations), Neurology (309 citations), Pharmacology (308 citations) and Computational Theory and Mathematics (254 citations). Linda Söderberg has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Lars Lannfelt, Christer Möller, Dag Sehlin, Hanna Laudon, Gunilla Osswald, Malin Johannesson, Anna Erlandsson, Elisabeth Nikitidou, Patrik Nygren and Sofia Söllvander. Their work appears in journals such as Molecular and Cellular Neuroscience, Neurotherapeutics, FEBS Journal, Alzheimer s & Dementia and Journal of Alzheimer s Disease.
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.