Wangko Lundström
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in
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- Multiple Sclerosis Research Studies 5
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- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Immunodeficiency and Autoimmune Disorders 1
- Co-authors
- Crystal L. Mackall (2 shared papers)Natasha M. Fewkes (1 shared paper)Jan A. Hillert (5 shared papers)Tomas P Olsson (3 shared papers)Ingrid Skelton Kockum (3 shared papers)Elizabeth M. Morse (1 shared paper)Steven Lorenz Highfill (1 shared paper)Stéphanie Beq (1 shared paper)
- Journals
- Clinical Immunology (1 paper)Seminars in Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Multiple Sclerosis Journal (1 paper)Journal of Neuroimmunology (1 paper)
- Partner nations
- SwedenUnited StatesNorway
In The Last Decade
Wangko Lundström
7 papers receiving 411 citations
Peers
Comparison fields: 5 of 60
- Immunology 184
- Pathology and Forensic Medicine 120
- Rheumatology 50
- Virology 14
- Oncology 72
Countries citing papers authored by Wangko Lundström
This map shows the geographic impact of Wangko Lundström'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 Wangko Lundström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wangko Lundström more than expected).
Fields of papers citing papers by Wangko Lundström
This network shows the impact of papers produced by Wangko Lundström. 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 Wangko Lundström. The network helps show where Wangko Lundström may publish in the future.
Co-authors
The 25 scholars most cited alongside Wangko Lundström, 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 | 2008 | 140 | |
| 2 | 2012 | 125 | |
| 3 | 2013 | 124 | |
| 4 | 2022 | 17 | |
| 5 | 2017 | 7 | |
| 6 | 2011 | 6 | |
| 7 | 2014 | 4 |
About Wangko Lundström
Wangko Lundström is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Neurology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 423 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Polyomavirus and related diseases (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (184 citations), Pathology and Forensic Medicine (120 citations), Rheumatology (50 citations), Virology (14 citations) and Oncology (72 citations). Wangko Lundström has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Crystal L. Mackall, Natasha M. Fewkes, Jan A. Hillert, Tomas P Olsson, Ingrid Skelton Kockum, Elizabeth M. Morse, Steven Lorenz Highfill, Stéphanie Beq, Lars Alfredsson and Scott T.R. Walsh. Their work appears in journals such as Clinical Immunology, Seminars in Immunology, Proceedings of the National Academy of Sciences, Multiple Sclerosis Journal and Journal of Neuroimmunology.
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.