Mari Strengell

1.6k citations
15 papers · 1.3k indexed · h-index 12

Mari Strengell

14 papers receiving 1.3k citations

Peers

Mari Strengell
Comparison fields: 5 of 78
  • Immunology 913
  • Epidemiology 456
  • Modeling and Simulation 47
  • Virology 42
  • Oncology 201
Replace Nicholas A. Gherardin with:
Nicholas A. Gherardin Australia
Nicole H. Lazarus United States
Yanchun Peng China
Natalija Budimir United States
Gregory M. Frank United States
Glenn Buchan New Zealand
Carole J. Henry Dunand United States
Huawei Mao China
Adriana Forero United States
Deanna M. Santer Canada
Mari Strengell relative to Nicholas A. Gherardin Australia Nicholas A. Gherardin's profile →
Citations per field
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Nicholas A. Gherardin · 1×
Citations per year

Countries citing papers authored by Mari Strengell

Since Specialization
Citations

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

Fields of papers citing papers by Mari Strengell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mari Strengell, 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 Mari Strengell Line = papers co-authored together Mari Strengell links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20127
2
[Influenza viruses--a challenge for vaccinations].
20120
3 201157
4
Influenssa A(H1N1) 2009 -pandemian toinen epidemia-aalto aiheutti vähemmän kuolemia ja tehohoidon tarvetta
20111
5
High frequency of cross-reacting antibodies against 2009 pandemic influenza A(H1N1) virus among the elderly in Finland
201027
6 2010136
7 2009130
8 2009140
9 200832
10 200672
11 200461
12 200492
13 2003332
14 2002214
15 200119

About Mari Strengell

Mari Strengell is a scholar working on Immunology, Virology and Infectious Diseases, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (5 papers), Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (3 papers), T-cell and B-cell Immunology (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immunotherapy and Immune Responses (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (913 citations), Epidemiology (456 citations) and Modeling and Simulation (47 citations). Mari Strengell has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Ilkka Julkunen, Sampsa Matikainen, Timo Sareneva, Don Foster, Anne Lehtonen, Jukka Sirén, Pamela Österlund, Niina Ikonen, Thedi Ziegler and Jaana Pirhonen. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

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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