Signe Viggor

468 total citations
15 papers, 362 citations indexed

About

Signe Viggor is a scholar working on Pollution, Molecular Biology and Ecology. According to data from OpenAlex, Signe Viggor has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 10 papers in Molecular Biology and 7 papers in Ecology. Recurrent topics in Signe Viggor's work include Microbial bioremediation and biosurfactants (12 papers), Microbial Community Ecology and Physiology (7 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Signe Viggor is often cited by papers focused on Microbial bioremediation and biosurfactants (12 papers), Microbial Community Ecology and Physiology (7 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Signe Viggor collaborates with scholars based in Estonia, India and Finland. Signe Viggor's co-authors include Ain Heinaru, Eeva Heinaru, Eve Vedler, Jaak Truu, Ivo Leito, Triinu Kõressaar, Maido Remm, Jekaterina Jutkina, Maia Kivisaar and Jaanis Juhanson and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Applied Microbiology and Biotechnology.

In The Last Decade

Signe Viggor

14 papers receiving 357 citations

Peers

Signe Viggor
Tekle Tafese Fida Switzerland
Signe Viggor
Citations per year, relative to Signe Viggor Signe Viggor (= 1×) peers Tekle Tafese Fida

Countries citing papers authored by Signe Viggor

Since Specialization
Citations

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

Fields of papers citing papers by Signe Viggor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Signe Viggor

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

All Works

15 of 15 papers shown
1.
Viggor, Signe, et al.. (2023). Potential of Indigenous Strains Isolated from the Wastewater Treatment Plant of a Crude Oil Refinery. Microorganisms. 11(3). 752–752. 1 indexed citations
2.
Viggor, Signe, et al.. (2021). Monitoring the growth, survival and phenol utilization of the fluorescent-tagged Pseudomonas oleovorans immobilized and free cells. Bioresource Technology. 338. 125568–125568. 10 indexed citations
4.
Viggor, Signe, et al.. (2019). Seasonal bacterial community dynamics in a crude oil refinery wastewater treatment plant. Applied Microbiology and Biotechnology. 103(21-22). 9131–9141. 11 indexed citations
5.
Viggor, Signe, Eeva Heinaru, Jaak Truu, & Ain Heinaru. (2019). Kinetics of phenol degradation by selected bacterial strains with different genetic properties. 315–324.
6.
Yan, Lijuan, Dan Yu, Nan Hui, et al.. (2018). Distribution of Archaeal Communities along the Coast of the Gulf of Finland and Their Response to Oil Contamination. Frontiers in Microbiology. 9. 15–15. 39 indexed citations
7.
Viggor, Signe, et al.. (2017). Strategy of Pseudomonas pseudoalcaligenes C70 for effective degradation of phenol and salicylate. PLoS ONE. 12(3). e0173180–e0173180. 18 indexed citations
8.
Viggor, Signe, et al.. (2015). Occurrence of diverse alkane hydroxylase alkB genes in indigenous oil-degrading bacteria of Baltic Sea surface water. Marine Pollution Bulletin. 101(2). 507–516. 30 indexed citations
9.
Vedler, Eve, Eeva Heinaru, Jekaterina Jutkina, et al.. (2013). Limnobacter spp. as newly detected phenol-degraders among Baltic Sea surface water bacteria characterised by comparative analysis of catabolic genes. Systematic and Applied Microbiology. 36(8). 525–532. 54 indexed citations
10.
Viggor, Signe, Jaanis Juhanson, Mario Mitt, et al.. (2013). Dynamic changes in the structure of microbial communities in Baltic Sea coastal seawater microcosms modified by crude oil, shale oil or diesel fuel. Microbiological Research. 168(7). 415–427. 43 indexed citations
11.
Heinaru, Eeva, et al.. (2010). Diversity of the transcriptional regulation of the pch gene cluster in two indigenous p-cresol-degradative strains of Pseudomonas fluorescens. FEMS Microbiology Ecology. 72(3). 464–475. 6 indexed citations
12.
Viggor, Signe, Eeva Heinaru, Allan Künnapas, & Ain Heinaru. (2008). Evaluation of different phenol hydroxylase-possessing phenol-degrading pseudomonads by kinetic parameters. Biodegradation. 19(5). 759–769. 23 indexed citations
13.
Heinaru, Eeva, et al.. (2004). Biodegradation efficiency of functionally important populations selected for bioaugmentation in phenol- and oil-polluted area. FEMS Microbiology Ecology. 51(3). 363–373. 64 indexed citations
14.
Viggor, Signe, et al.. (2002). Biodegradation of dimethylphenols by bacteria with different ring-cleavage pathways of phenolic compounds. Environmental Science and Pollution Research. 9(S1). 19–26. 11 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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