Sanna Nyström

9 total papers · 610 total citations
8 papers, 489 citations indexed

About

Sanna Nyström is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Sanna Nyström has authored 8 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Sanna Nyström's work include Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers) and Inflammasome and immune disorders (2 papers). Sanna Nyström is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers) and Inflammasome and immune disorders (2 papers). Sanna Nyström collaborates with scholars based in Sweden, United Kingdom and Romania. Sanna Nyström's co-authors include Steven E. Applequist, Mari Gilljam, Birgitta Stellan, Evren Alici, Tolga Sütlü, H Johansson, Julia Hengst, Hans‐Gustaf Ljunggren, Nicole Marquardt and Ewa Ellis and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Sanna Nyström

8 papers receiving 483 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanna Nyström 368 126 116 52 45 8 489
E van de Pol 230 0.6× 62 0.5× 139 1.2× 64 1.2× 67 1.5× 13 484
Arron Hearn 273 0.7× 113 0.9× 245 2.1× 70 1.3× 20 0.4× 13 513
Mitsuaki Mori 294 0.8× 109 0.9× 232 2.0× 41 0.8× 37 0.8× 11 541
Z. B. Mikulska 289 0.8× 83 0.7× 137 1.2× 42 0.8× 37 0.8× 10 531
R W Crofton 171 0.5× 46 0.4× 66 0.6× 69 1.3× 55 1.2× 8 461
Frank Schakowski 220 0.6× 201 1.6× 176 1.5× 93 1.8× 33 0.7× 11 514
Anna Rita Liuzzi 285 0.8× 205 1.6× 93 0.8× 52 1.0× 23 0.5× 7 481
Denny H. Liggitt 266 0.7× 73 0.6× 226 1.9× 62 1.2× 16 0.4× 11 501
Alice P. Taylor 149 0.4× 82 0.7× 163 1.4× 133 2.6× 18 0.4× 13 511
Arthur F. Goldberg 126 0.3× 117 0.9× 148 1.3× 44 0.8× 14 0.3× 10 496

Countries citing papers authored by Sanna Nyström

Since Specialization
Citations

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

Fields of papers citing papers by Sanna Nyström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanna Nyström

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

All Works

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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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