Märt Toots

2.1k total citations · 2 hit papers
17 papers, 1.3k citations indexed

About

Märt Toots is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Märt Toots has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 6 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Märt Toots's work include Respiratory viral infections research (8 papers), Influenza Virus Research Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Märt Toots is often cited by papers focused on Respiratory viral infections research (8 papers), Influenza Virus Research Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Märt Toots collaborates with scholars based in United States, Estonia and Germany. Märt Toots's co-authors include Richard K. Plemper, Jeong-Joong Yoon, Michael G. Natchus, George R. Painter, Leho Tedersoo, Urmas Kõljalg, Mart Ustav, M. N. Hart, Robert M. Cox and Alexander A. Kolykhalov and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Märt Toots

17 papers receiving 1.3k citations

Hit Papers

Towards global patterns in the diversity and community st... 2012 2026 2016 2021 2012 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Märt Toots United States 15 483 394 391 294 252 17 1.3k
Hans Peter Saluz Germany 21 197 0.4× 258 0.7× 188 0.5× 563 1.9× 106 0.4× 53 1.4k
Leszek P. Pryszcz Spain 18 323 0.7× 157 0.4× 199 0.5× 1.1k 3.9× 71 0.3× 36 1.5k
Maxime Hervé France 21 367 0.8× 105 0.3× 192 0.5× 292 1.0× 388 1.5× 67 1.1k
Scott A. Jeffers United States 13 267 0.6× 239 0.6× 888 2.3× 695 2.4× 332 1.3× 13 1.9k
Pascal Campagne France 16 394 0.8× 72 0.2× 119 0.3× 417 1.4× 174 0.7× 36 1.4k
R. A. Owens United States 32 1.1k 2.4× 383 1.0× 289 0.7× 1.4k 4.6× 186 0.7× 75 3.0k
Sabine Eckert United Kingdom 16 281 0.6× 376 1.0× 250 0.6× 799 2.7× 71 0.3× 21 1.4k
Ravi Durvasula United States 24 186 0.4× 419 1.1× 240 0.6× 508 1.7× 1.1k 4.4× 71 2.2k
Ricardo Lleonart Cuba 23 110 0.2× 167 0.4× 338 0.9× 460 1.6× 207 0.8× 65 1.6k
Matt Pearce United Kingdom 4 251 0.5× 104 0.3× 131 0.3× 878 3.0× 56 0.2× 8 1.5k

Countries citing papers authored by Märt Toots

Since Specialization
Citations

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

Fields of papers citing papers by Märt Toots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Märt Toots

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

All Works

17 of 17 papers shown
1.
Lieber, Carolin M., Megha Aggarwal, Jeong-Joong Yoon, et al.. (2023). 4’-Fluorouridine mitigates lethal infection with pandemic human and highly pathogenic avian influenza viruses. PLoS Pathogens. 19(4). e1011342–e1011342. 20 indexed citations
2.
Sourimant, Julien, Carolin M. Lieber, Megha Aggarwal, et al.. (2022). 4′-Fluorouridine is an oral antiviral that blocks respiratory syncytial virus and SARS-CoV-2 replication. Science. 375(6577). 161–167. 79 indexed citations
3.
Sourimant, Julien, Carolin M. Lieber, Megha Aggarwal, et al.. (2022). 4'-Fluorouridine is an oral antiviral that blocks respiratory syncytial virus and SARS-CoV-2 replication.. PubMed. 375(6577). 161–167. 45 indexed citations
4.
Sourimant, Julien, Carolin M. Lieber, Jeong-Joong Yoon, et al.. (2022). Orally efficacious lead of the AVG inhibitor series targeting a dynamic interface in the respiratory syncytial virus polymerase. Science Advances. 8(25). eabo2236–eabo2236. 16 indexed citations
5.
Toots, Märt & Richard K. Plemper. (2020). Next-generation direct-acting influenza therapeutics. Translational research. 220. 33–42. 46 indexed citations
6.
Cox, Robert M., Julien Sourimant, Märt Toots, et al.. (2020). Orally efficacious broad-spectrum allosteric inhibitor of paramyxovirus polymerase. Nature Microbiology. 5(10). 1232–1246. 22 indexed citations
7.
Guazzi, Paolo, Davide Zocco, Sergejs Isajevs, et al.. (2020). TM9SF4 expression in tumor tissues: a novel diagnostic biomarker for gastrointestinal tumors. Translational Cancer Research. 9(11). 6652–6659. 6 indexed citations
8.
Toots, Märt, Jeong-Joong Yoon, Robert M. Cox, et al.. (2019). Characterization of orally efficacious influenza drug with high resistance barrier in ferrets and human airway epithelia. Science Translational Medicine. 11(515). 233 indexed citations breakdown →
9.
Toots, Märt, Jeong-Joong Yoon, M. N. Hart, et al.. (2019). Quantitative efficacy paradigms of the influenza clinical drug candidate EIDD-2801 in the ferret model. Translational research. 218. 16–28. 85 indexed citations
10.
Cox, Robert M., Märt Toots, Jeong-Joong Yoon, et al.. (2018). Development of an allosteric inhibitor class blocking RNA elongation by the respiratory syncytial virus polymerase complex. Journal of Biological Chemistry. 293(43). 16761–16777. 25 indexed citations
11.
Toots, Märt, Mart Ustav, Andres Männik, et al.. (2017). Identification of several high-risk HPV inhibitors and drug targets with a novel high-throughput screening assay. PLoS Pathogens. 13(2). e1006168–e1006168. 23 indexed citations
12.
Toots, Märt, et al.. (2015). The Cell Cycle Timing of Human Papillomavirus DNA Replication. PLoS ONE. 10(7). e0131675–e0131675. 38 indexed citations
13.
Toots, Märt, et al.. (2014). The Transcription Map of Human Papillomavirus Type 18 during Genome Replication in U2OS Cells. PLoS ONE. 9(12). e116151–e116151. 25 indexed citations
14.
Tedersoo, Leho, Mohammad Bahram, Märt Toots, et al.. (2012). Towards global patterns in the diversity and community structure of ectomycorrhizal fungi. Molecular Ecology. 21(17). 4160–4170. 322 indexed citations breakdown →
15.
Toots, Märt, et al.. (2012). Engagement of the ATR-Dependent DNA Damage Response at the Human Papillomavirus 18 Replication Centers during the Initial Amplification. Journal of Virology. 87(2). 951–964. 113 indexed citations
16.
Lember, Jüri, et al.. (2010). On Suboptimal LCS-alignments for Independent Bernoulli Sequences with Asymmetric Distributions. Methodology And Computing In Applied Probability. 14(2). 357–382. 1 indexed citations
17.
Abarenkov, Kessy, Leho Tedersoo, R. Henrik Nilsson, et al.. (2010). PlutoF—a Web Based Workbench for Ecological and Taxonomic Research, with an Online Implementation for Fungal ITS Sequences. Evolutionary Bioinformatics. 6. 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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