Niina Ikonen

2.8k total citations
56 papers, 1.4k citations indexed

About

Niina Ikonen is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Niina Ikonen has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Epidemiology, 29 papers in Infectious Diseases and 12 papers in Molecular Biology. Recurrent topics in Niina Ikonen's work include Influenza Virus Research Studies (41 papers), Respiratory viral infections research (30 papers) and SARS-CoV-2 and COVID-19 Research (14 papers). Niina Ikonen is often cited by papers focused on Influenza Virus Research Studies (41 papers), Respiratory viral infections research (30 papers) and SARS-CoV-2 and COVID-19 Research (14 papers). Niina Ikonen collaborates with scholars based in Finland, Sweden and United States. Niina Ikonen's co-authors include Thedi Ziegler, Ilkka Julkunen, Leena Kinnunen, Terho Heikkinen, Mari Strengell, Pamela Österlund, Jaana Pirhonen, Mia Broman, Hanna Nohynek and Robert M. Krug and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Clinical Infectious Diseases.

In The Last Decade

Niina Ikonen

54 papers receiving 1.4k citations

Peers

Niina Ikonen
Comparison fields: 5 of 106
  • Epidemiology 1.1k
  • Infectious Diseases 406
  • Immunology 335
  • Molecular Biology 227
  • Agronomy and Crop Science 159
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Citations per field, relative to Niina Ikonen
Niina Ikonen · 1×
Citations per year, relative to Niina Ikonen
Niina Ikonen · 1×

Countries citing papers authored by Niina Ikonen

Since Specialization
Citations

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

Fields of papers citing papers by Niina Ikonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niina Ikonen

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 7
3 3
4
Epidemiology of laboratory-confirmed influenza among kidney transplant recipients compared to the general population : A nationwide cohort study
0
5 6
6
Mid-season real-time estimates of seasonal influenza vaccine effectiveness in persons 65 years and older in register-based surveillance, Stockholm County, Sweden, and Finland, January 2017
3
7 123
8 8
9 7
10 13
11 57
12
High frequency of cross-reacting antibodies against 2009 pandemic influenza A(H1N1) virus among the elderly in Finland
27
13 42
14 132
15 14
16 7
17 12
18 13
19 23
20 10

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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