Wangko Lundström

543 total citations
8 papers, 397 citations indexed

About

Wangko Lundström is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Wangko Lundström has authored 8 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Wangko Lundström's work include Multiple Sclerosis Research Studies (5 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). Wangko Lundström is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). Wangko Lundström collaborates with scholars based in Sweden, United States and Norway. Wangko Lundström's co-authors include Crystal L. Mackall, Natasha M. Fewkes, Jan Hillert, Tomas Olsson, Ingrid Kockum, Steven L. Highfill, Stéphanie Beq, Lars Alfredsson, Elizabeth M. Morse and Scott T.R. Walsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Journal of Immunology.

In The Last Decade

Wangko Lundström

8 papers receiving 390 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wangko Lundström Sweden	6	208	118	88	81	56	8	397
Alexandra Garcia France	12	315 1.5×	178 1.5×	117 1.3×	82 1.0×	50 0.9×	26	622
Gry B. N. Nordang Norway	9	166 0.8×	51 0.4×	55 0.6×	36 0.4×	82 1.5×	9	330
Aigli G. Vakrakou Greece	12	151 0.7×	90 0.8×	160 1.8×	52 0.6×	70 1.3×	40	462
Elizabeth Hutto United States	8	149 0.7×	137 1.2×	151 1.7×	105 1.3×	91 1.6×	10	569
Miguel Guerrero Spain	13	193 0.9×	269 2.3×	62 0.7×	151 1.9×	100 1.8×	17	481
Ellen Hilgenberg Germany	8	461 2.2×	224 1.9×	77 0.9×	107 1.3×	48 0.9×	11	650
Tesha Suddason United Kingdom	9	273 1.3×	40 0.3×	115 1.3×	51 0.6×	26 0.5×	11	455
V. De Las Heras Spain	14	220 1.1×	238 2.0×	83 0.9×	134 1.7×	96 1.7×	21	508
R. Philip Kinkel United States	5	210 1.0×	98 0.8×	44 0.5×	40 0.5×	45 0.8×	7	328
Scott S. Zamvil United States	7	335 1.6×	96 0.8×	88 1.0×	45 0.6×	38 0.7×	7	453

Countries citing papers authored by Wangko Lundström

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wangko Lundström

This figure shows the co-authorship network connecting the top 25 collaborators of Wangko Lundström. A scholar is included among the top collaborators of Wangko Lundström 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 Wangko Lundström. Wangko Lundström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lundström, Wangko & Rasmus Gustafsson. (2022). Human Herpesvirus 6A Is a Risk Factor for Multiple Sclerosis. Frontiers in Immunology. 13. 840753–840753. 15 indexed citations

2.

Bedri, Sahl Khalid, Katharina Fink, Ali Manouchehrinia, et al.. (2017). Multiple sclerosis treatment effects on plasma cytokine receptor levels. Clinical Immunology. 187. 15–25. 5 indexed citations

3.

Lundström, Wangko, Maria Sjöstrand, Susanna Brauner, et al.. (2014). Interferon beta treatment of multiple sclerosis increases serum interleukin-7. Multiple Sclerosis Journal. 20(13). 1727–1736. 4 indexed citations

4.

Lundström, Wangko, Steven L. Highfill, Scott T.R. Walsh, et al.. (2013). Soluble IL7Rα potentiates IL-7 bioactivity and promotes autoimmunity. Proceedings of the National Academy of Sciences. 110(19). E1761–70. 115 indexed citations

5.

Lundström, Wangko, Natasha M. Fewkes, & Crystal L. Mackall. (2012). IL-7 in human health and disease. Seminars in Immunology. 24(3). 218–224. 118 indexed citations

6.

Lundström, Wangko, Eva Greiner, Frida Lundmark, et al.. (2011). No influence on disease progression of non-HLA susceptibility genes in MS. Journal of Neuroimmunology. 237(1-2). 98–100. 7 indexed citations

7.

Lundström, Wangko, Scott W. Walsh, & Crystal L. Mackall. (2011). Soluble IL7 receptor alpha chain serves as a depot to prevent IL7 consumption (57.1). The Journal of Immunology. 186(1_Supplement). 57.1–57.1. 2 indexed citations

8.

Aulchenko, Yurii S., Ilse A Hoppenbrouwers, Sreeram V. Ramagopalan, et al.. (2008). Genetic variation in the KIF1B locus influences susceptibility to multiple sclerosis. Nature Genetics. 40(12). 1402–1403. 131 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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