Age Utt

1.3k total citations
21 papers, 1.0k citations indexed

About

Age Utt is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Virology. According to data from OpenAlex, Age Utt has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 15 papers in Public Health, Environmental and Occupational Health and 7 papers in Virology. Recurrent topics in Age Utt's work include Mosquito-borne diseases and control (15 papers), Viral Infections and Vectors (12 papers) and Viral Infections and Outbreaks Research (8 papers). Age Utt is often cited by papers focused on Mosquito-borne diseases and control (15 papers), Viral Infections and Vectors (12 papers) and Viral Infections and Outbreaks Research (8 papers). Age Utt collaborates with scholars based in Estonia, Singapore and Finland. Age Utt's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Age Utt

21 papers receiving 995 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Age Utt Estonia 19 695 629 201 197 176 21 1.0k
Min Qing Singapore 17 923 1.3× 810 1.3× 270 1.3× 222 1.1× 265 1.5× 19 1.5k
Wolfgang Fischl Germany 9 549 0.8× 401 0.6× 210 1.0× 126 0.6× 122 0.7× 10 906
Néstor Gabriel Iglesias Argentina 15 751 1.1× 561 0.9× 345 1.7× 191 1.0× 125 0.7× 23 1.3k
Kai Rausalu Estonia 15 433 0.6× 361 0.6× 140 0.7× 101 0.5× 110 0.6× 24 736
Ali Taş Netherlands 16 453 0.7× 901 1.4× 231 1.1× 113 0.6× 111 0.6× 29 1.3k
Eliana G. Acosta Germany 17 1.0k 1.5× 698 1.1× 259 1.3× 222 1.1× 128 0.7× 18 1.5k
Sudip Khadka United States 7 365 0.5× 310 0.5× 252 1.3× 131 0.7× 103 0.6× 15 829
Krystal A. Fontaine United States 9 388 0.6× 323 0.5× 236 1.2× 73 0.4× 140 0.8× 11 810
Delphine Benarroch France 10 412 0.6× 249 0.4× 227 1.1× 218 1.1× 47 0.3× 13 734
Gilma Sánchez-Burgos Mexico 10 688 1.0× 483 0.8× 82 0.4× 69 0.4× 146 0.8× 14 845

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-authorship network of co-authors of Age Utt

This figure shows the co-authorship network connecting the top 25 collaborators of Age Utt. A scholar is included among the top collaborators of Age Utt 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 Age Utt. Age Utt 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
1.
Lello, Laura Sandra, Koen Bartholomeeusen, Sainan Wang, et al.. (2021). nsP4 Is a Major Determinant of Alphavirus Replicase Activity and Template Selectivity. Journal of Virology. 95(20). e0035521–e0035521. 31 indexed citations
2.
Law, Yee-Song, Yaw Bia Tan, Orion Shih, et al.. (2020). Structural and Functional Studies of Chikungunya Virus nsP2. SHILAP Revista de lepidopterología. 113–113. 1 indexed citations
3.
Lello, Laura Sandra, Age Utt, Koen Bartholomeeusen, et al.. (2020). Cross-utilisation of template RNAs by alphavirus replicases. PLoS Pathogens. 16(9). e1008825–e1008825. 22 indexed citations
4.
Kaur, Parveen, et al.. (2020). Bortezomib inhibits chikungunya virus replication by interfering with viral protein synthesis. PLoS neglected tropical diseases. 14(5). e0008336–e0008336. 10 indexed citations
5.
Law, Yee-Song, Sainan Wang, Yaw Bia Tan, et al.. (2020). Interdomain Flexibility of Chikungunya Virus nsP2 Helicase-Protease Differentially Influences Viral RNA Replication and Infectivity. Journal of Virology. 95(6). 24 indexed citations
6.
Götte, Benjamin, Age Utt, Rennos Fragkoudis, Andres Merits, & Gerald M. McInerney. (2020). Sensitivity of Alphaviruses to G3BP Deletion Correlates with Efficiency of Replicase Polyprotein Processing. Journal of Virology. 94(7). 24 indexed citations
7.
Chan, Yi‐Hao, Teck‐Hui Teo, Age Utt, et al.. (2019). Mutating chikungunya virus non‐structural protein produces potent live‐attenuated vaccine candidate. EMBO Molecular Medicine. 11(6). 21 indexed citations
8.
Carissimo, Guillaume, et al.. (2019). VCP/p97 Is a Proviral Host Factor for Replication of Chikungunya Virus and Other Alphaviruses. Frontiers in Microbiology. 10. 2236–2236. 19 indexed citations
9.
Utt, Age, Kai Rausalu, Madis Jakobson, et al.. (2019). Design and Use of Chikungunya Virus Replication Templates Utilizing Mammalian and Mosquito RNA Polymerase I-Mediated Transcription. Journal of Virology. 93(18). 25 indexed citations
10.
Law, Yee-Song, Age Utt, Yaw Bia Tan, et al.. (2019). Structural insights into RNA recognition by the Chikungunya virus nsP2 helicase. Proceedings of the National Academy of Sciences. 116(19). 9558–9567. 62 indexed citations
11.
Abraham, Rachy, Debra Hauer, Robert Lyle McPherson, et al.. (2018). ADP-ribosyl–binding and hydrolase activities of the alphavirus nsP3 macrodomain are critical for initiation of virus replication. Proceedings of the National Academy of Sciences. 115(44). E10457–E10466. 97 indexed citations
12.
13.
14.
Hellström, Kirsi, Katri Kallio, Age Utt, et al.. (2017). Partially Uncleaved Alphavirus Replicase Forms Spherule Structures in the Presence and Absence of RNA Template. Journal of Virology. 91(18). 39 indexed citations
15.
Rausalu, Kai, Age Utt, Finny S. Varghese, et al.. (2016). Chikungunya virus infectivity, RNA replication and non-structural polyprotein processing depend on the nsP2 protease’s active site cysteine residue. Scientific Reports. 6(1). 37124–37124. 52 indexed citations
16.
Utt, Age, et al.. (2016). Versatile Trans-Replication Systems for Chikungunya Virus Allow Functional Analysis and Tagging of Every Replicase Protein. PLoS ONE. 11(3). e0151616–e0151616. 63 indexed citations
17.
Das, Pratyush Kumar, Finny S. Varghese, Age Utt, et al.. (2016). Design and Validation of Novel Chikungunya Virus Protease Inhibitors. Antimicrobial Agents and Chemotherapy. 60(12). 7382–7395. 47 indexed citations
18.
Thaa, Bastian, Kai Er Eng, Maarit Neuvonen, et al.. (2015). Differential Phosphatidylinositol-3-Kinase-Akt-mTOR Activation by Semliki Forest and Chikungunya Viruses Is Dependent on nsP3 and Connected to Replication Complex Internalization. Journal of Virology. 89(22). 11420–11437. 81 indexed citations
19.
Männik, Andres, Aleksei Lulla, Valeria Lulla, et al.. (2013). RIG-I and MDA-5 Detection of Viral RNA-dependent RNA Polymerase Activity Restricts Positive-Strand RNA Virus Replication. PLoS Pathogens. 9(9). e1003610–e1003610. 63 indexed citations
20.
Pohjala, Leena, Age Utt, Margus Varjak, et al.. (2011). Inhibitors of Alphavirus Entry and Replication Identified with a Stable Chikungunya Replicon Cell Line and Virus-Based Assays. PLoS ONE. 6(12). e28923–e28923. 217 indexed citations

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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