Anu Haveri

920 citations
26 papers · 286 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
  • Microbiology top 10%
    • Reproductive tract infections research

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 detection and testing 3
    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 5

Anu Haveri

25 papers receiving 279 citations

Peers

Anu Haveri
Comparison fields: 5 of 47
  • Infectious Diseases 140
  • Microbiology 38
  • Modeling and Simulation 16
  • Immunology 61
  • Epidemiology 82
Replace Donchida Srimuan with:
Donchida Srimuan Thailand
Nina Ekström Finland
Pornjarim Nilyanimit Thailand
Lenesha Warrener United Kingdom
Christina Capuano United States
Juanjie Tang United States
Johan Ringlander Sweden
István Jankovics Hungary
Kina Helm Netherlands
Carlos Ávila‐Nieto Spain
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Citations per field
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Citations per year

Countries citing papers authored by Anu Haveri

Since Specialization
Citations

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

Fields of papers citing papers by Anu Haveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202160
2 202032
3 202224
4 201720
5 201119
6 200819
7 201214
8 201513
9 202210
10 20219
11 20228
12 20068
13 20216
14 20206
15 20096
16 20245
17 20175
18 20224
19
Influenssakausi Suomessa, viikot 40/2012-20/2013 - Seurantaraportti
20134
20
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
20173

About Anu Haveri

Anu Haveri is a scholar working on Infectious Diseases, Epidemiology, Immunology, Microbiology and Cell Biology, having authored 26 papers that have together received 286 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Influenza Virus Research Studies (7 papers), Reproductive tract infections research (6 papers), Respiratory viral infections research (5 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (3 papers), Reproductive System and Pregnancy (3 papers) and Caveolin-1 and cellular processes (2 papers). The work is most often cited by research in Infectious Diseases (140 citations), Microbiology (38 citations), Modeling and Simulation (16 citations), Immunology (61 citations) and Epidemiology (82 citations). Anu Haveri has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Hanna Nohynek, Niina Ikonen, Merit Melin, Arto A. Palmu, Nina Ekström, Pamela Österlund, Mirja Puolakkainen, Riitta Lahesmaa, Camilla Virta and Jenni M. Vuola. Their work appears in journals such as Eurosurveillance, Microbial Pathogenesis, European Journal of Immunology, Vaccine and Frontiers in Medicine.

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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