Age Utt

1.3k citations
21 papers · 1.0k · h-index 19

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • Viral gastroenteritis research and epidemiology

Papers in

Age Utt

21 papers receiving 995 citations

Peers

Age Utt
Comparison fields: 5 of 66
  • Virology 197
  • Infectious Diseases 629
  • Public Health, Environmental and Occupational Health 695
  • Immunology 176
  • Insect Science 89
Replace Ali Taş with:
Ali Taş Netherlands
Eliana G. Acosta Germany
Néstor Gabriel Iglesias Argentina
Sudip Khadka United States
Rubén Soto-Acosta United States
Min Qing Singapore
Kai Rausalu Estonia
Teresa Merino-Ramos Spain
Krystal A. Fontaine United States
Chinmay G. Patkar United States
Age Utt relative to Ali Taş Netherlands Ali Taş's profile →
Citations per field
00.5×1.7×
Ali Taş · 1×
Citations per year

Countries citing papers authored by Age Utt

Since Specialization
Citations

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

Fields of papers citing papers by Age Utt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011217
2 201897
3 201581
4 201363
5 201663
6 201962
7 201652
8 201552
9 201647
10 201739
11 201835
12 202131
13 201925
14 202024
15 202024
16 202022
17 201921
18 201820
19 201919
20 202010

About Age Utt

Age Utt is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Virology, Immunology and Epidemiology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (15 papers), Viral Infections and Vectors (12 papers), Viral Infections and Outbreaks Research (8 papers), HIV Research and Treatment (7 papers), interferon and immune responses (5 papers), Insect symbiosis and bacterial influences (3 papers), Bacteriophages and microbial interactions (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Virology (197 citations), Infectious Diseases (629 citations), Public Health, Environmental and Occupational Health (695 citations), Immunology (176 citations) and Insect Science (89 citations). Age Utt has collaborated with scholars based in Estonia, Singapore and Finland. Frequent co-authors include Andres Merits, Tero Ahola, Aleksei Lulla, Margus Varjak, Päivi Tammela, Leena Pohjala, Pratyush Kumar Das, Finny S. Varghese, Kai Rausalu and Kirsi Hellström. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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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