Peter Sundström

80 papers receiving 3.4k citations

Hit Papers

Monitoring disease activity in multiple sclerosis using serum neurofilament light protein 2017 · 325 citations
3250+3+6Years since publication100200300

Peers

Peter Sundström
Comparison fields: 5 of 123
  • Pathology and Forensic Medicine 2.5k
  • Neurology 907
  • Developmental Neuroscience 150
  • Immunology 754
  • Rheumatology 510
Replace Dana Horáková with:
Dana Horáková Czechia
Andreas Lutterotti Austria
Lucia Moiola Italy
Diego Franciotta Italy
Mauro Zaffaroni Italy
Orhun H. Kantarci United States
Patrice H. Lalive Switzerland
Hélène Zéphir France
Vesna Brinar Croatia
Scott D. Newsome United States
Peter Sundström relative to Dana Horáková Czechia Dana Horáková's profile →
Citations per field
00.5×1.5×2.2×
Dana Horáková · 1×
Citations per year

Countries citing papers authored by Peter Sundström

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sundström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Sundström, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Sundström Line = papers co-authored together Peter Sundström links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monitoring disease activity in multiple sclerosis using serum neurofilament light protein
Hit paper breakdown →
2017325
2 2010262
3 2016261
4 2004235
5 2004198
6 2012163
7 2010149
8 2010137
9 2011131
10 2010103
11 2013102
12 201383
13 200882
14 200981
15 200877
16 200074
17 201674
18 200271
19 201253
20 201251

About Peter Sundström

Peter Sundström is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Neurology and Epidemiology, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (52 papers), Polyomavirus and related diseases (14 papers), Peripheral Neuropathies and Disorders (11 papers), Vehicle Dynamics and Control Systems (8 papers), Real-time simulation and control systems (8 papers), Systemic Lupus Erythematosus Research (8 papers), Immunotherapy and Immune Responses (7 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.5k citations), Neurology (907 citations), Developmental Neuroscience (150 citations), Immunology (754 citations) and Rheumatology (510 citations). Peter Sundström has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Anders Svenningsson, Jonatan Salzer, Martin Gunnarsson, Markus Axelsson, Tomas Olsson, Göran Hallmans, Clas Malmeström, Jan Lycke, Göran Wadell and Fredrik Piehl. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, Acta Neurologica Scandinavica, European Journal of Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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