Björn Evertsson

604 total citations
11 papers, 200 citations indexed

About

Björn Evertsson is a scholar working on Neurology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Björn Evertsson has authored 11 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Björn Evertsson's work include Multiple Sclerosis Research Studies (6 papers), Peripheral Neuropathies and Disorders (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Björn Evertsson is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Peripheral Neuropathies and Disorders (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Björn Evertsson collaborates with scholars based in Sweden, United States and Switzerland. Björn Evertsson's co-authors include Fredrik Piehl, Faiez Al Nimer, Maja Jagodic, Fang Fang, Rayomand Press, John Foley, Elisa Longinetti, Ingrid Kockum, Nicolas Ruffin and Caroline Ingre and has published in prestigious journals such as Nature Communications, Journal of Neurology Neurosurgery & Psychiatry and Multiple Sclerosis Journal.

In The Last Decade

Björn Evertsson

10 papers receiving 199 citations

Peers

Björn Evertsson
Björn Evertsson
Citations per year, relative to Björn Evertsson Björn Evertsson (= 1×) peers François Jacques

Countries citing papers authored by Björn Evertsson

Since Specialization
Citations

This map shows the geographic impact of Björn Evertsson'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 Björn Evertsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Evertsson more than expected).

Fields of papers citing papers by Björn Evertsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Björn Evertsson. 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 Björn Evertsson. The network helps show where Björn Evertsson may publish in the future.

Co-authorship network of co-authors of Björn Evertsson

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Evertsson. A scholar is included among the top collaborators of Björn Evertsson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Björn Evertsson. Björn Evertsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Evertsson, Björn, Ingela Nilsson Remahl, Max Albert Hietala, & Anja Finn. (2025). Glial fibrillary acidic protein in cerebrospinal fluid in humans is sensitive to various pre-analytical conditions: possible explanation and solution. Frontiers in Neurology. 16. 1627405–1627405.
2.
Evertsson, Björn, Pierre de Flon, Yunzhang Wang, et al.. (2024). Hypogammaglobulinaemia during rituximab treatment in multiple sclerosis: A Swedish cohort study. European Journal of Neurology. 31(8). e16331–e16331. 4 indexed citations
3.
Leppert, David, Mitsuru Watanabe, Sabine Schaedelin, et al.. (2023). Granulocyte activation markers in cerebrospinal fluid differentiate acute neuromyelitis spectrum disorder from multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 94(9). 726–737. 9 indexed citations
4.
Seitz, Christina, Can Cui, Anikó Lovik, et al.. (2022). T cell responses at diagnosis of amyotrophic lateral sclerosis predict disease progression. Nature Communications. 13(1). 6733–6733. 51 indexed citations
5.
Bedri, Sahl Khalid, Björn Evertsson, Mohsen Khademi, et al.. (2022). Copy number variations across the blood–brain barrier in multiple sclerosis. Annals of Clinical and Translational Neurology. 9(7). 962–976. 1 indexed citations
6.
Cucuzza, Chiara Starvaggi, Elisa Longinetti, Nicolas Ruffin, et al.. (2022). Sustained Low Relapse Rate With Highly Variable B-Cell Repopulation Dynamics With Extended Rituximab Dosing Intervals in Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 10(1). 37 indexed citations
7.
Shen, Qing, Anja Finn, Björn Evertsson, et al.. (2021). Cardiac troponin T is elevated and increases longitudinally in ALS patients. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 23(1-2). 58–65. 17 indexed citations
8.
Evertsson, Björn, et al.. (2020). A comparative study of tolerability and effects on immunoglobulin levels and CD19 cell counts with ocrelizumab vs low dose of rituximab in multiple sclerosis. Multiple Sclerosis Journal - Experimental Translational and Clinical. 6(4). 2455384473–2455384473. 26 indexed citations
9.
Evertsson, Björn, Faiez Al Nimer, Åsa Sandin, et al.. (2020). Diagnostic accuracy of intrathecal kappa free light chains compared with OCBs in MS. Neurology Neuroimmunology & Neuroinflammation. 7(4). 25 indexed citations
10.
Evertsson, Björn, F. Johansson, Jan Lycke, et al.. (2019). Risk of hypogammaglobulinemia in long-term treatment with rituximab in multiple sclerosis. Multiple Sclerosis Journal. 25. 20–20. 10 indexed citations
11.
Walden, Ferdinand von, et al.. (2017). Forearm Flexor Muscles in Children with Cerebral Palsy Are Weak, Thin and Stiff. Frontiers in Computational Neuroscience. 11. 30–30. 20 indexed citations

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.

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