Ågot Aakra

951 total citations
22 papers, 714 citations indexed

About

Ågot Aakra is a scholar working on Molecular Biology, Pollution and Ecology. According to data from OpenAlex, Ågot Aakra has authored 22 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pollution and 6 papers in Ecology. Recurrent topics in Ågot Aakra's work include Genomics and Phylogenetic Studies (8 papers), Wastewater Treatment and Nitrogen Removal (7 papers) and Microbial Community Ecology and Physiology (6 papers). Ågot Aakra is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Wastewater Treatment and Nitrogen Removal (7 papers) and Microbial Community Ecology and Physiology (6 papers). Ågot Aakra collaborates with scholars based in Norway, France and United States. Ågot Aakra's co-authors include Ingolf F. Nes, Lars Snipen, Lars R. Bakken, Margrete Solheim, Heidi Vebø, Dag Anders Brede, Martin Hesselsøe, Dzung B. Diep, Ola Johnsborg and Are H. Aastveit and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Ågot Aakra

22 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ågot Aakra Norway 14 304 265 226 195 138 22 714
L Montgomery United States 10 464 1.5× 332 1.3× 200 0.9× 130 0.7× 42 0.3× 10 1.1k
Glavur R. Matté Brazil 16 227 0.7× 157 0.6× 123 0.5× 333 1.7× 50 0.4× 25 935
Dan Williams United States 7 272 0.9× 233 0.9× 41 0.2× 65 0.3× 114 0.8× 8 782
Jennifer R. Huddleston United States 8 294 1.0× 108 0.4× 230 1.0× 104 0.5× 70 0.5× 10 777
W W Cao United States 9 513 1.7× 109 0.4× 116 0.5× 400 2.1× 137 1.0× 12 953
William Calero‐Cáceres Ecuador 15 319 1.0× 509 1.9× 631 2.8× 81 0.4× 151 1.1× 30 1.2k
H.R. Mansfield United States 6 346 1.1× 309 1.2× 179 0.8× 91 0.5× 19 0.1× 8 885
Roberto Sousa Dias Brazil 15 213 0.7× 206 0.8× 72 0.3× 103 0.5× 93 0.7× 51 633
Carmen Tartera United States 13 196 0.6× 349 1.3× 26 0.1× 247 1.3× 208 1.5× 23 829
Patrícia S. Costa Brazil 16 219 0.7× 154 0.6× 171 0.8× 89 0.5× 28 0.2× 44 714

Countries citing papers authored by Ågot Aakra

Since Specialization
Citations

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

Fields of papers citing papers by Ågot Aakra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ågot Aakra

This figure shows the co-authorship network connecting the top 25 collaborators of Ågot Aakra. A scholar is included among the top collaborators of Ågot Aakra 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 Ågot Aakra. Ågot Aakra 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.
McLeod, Anette, et al.. (2011). Comparative genomics of Lactobacillus sakei with emphasis on strains from meat. Molecular Genetics and Genomics. 285(4). 297–311. 36 indexed citations
2.
Aakra, Ågot, et al.. (2010). The Response ofEnterococcus faecalisV583 to Chloramphenicol Treatment. International Journal of Microbiology. 2010. 1–7. 21 indexed citations
3.
Solheim, Margrete, Ågot Aakra, Lars Snipen, Dag Anders Brede, & Ingolf F. Nes. (2009). Comparative genomics of Enterococcus faecalis from healthy Norwegian infants. BMC Genomics. 10(1). 194–194. 66 indexed citations
4.
Snipen, Lars, et al.. (2009). Improved analysis of bacterial CGH data beyond the log-ratio paradigm. BMC Bioinformatics. 10(1). 91–91. 10 indexed citations
5.
Aakra, Ågot, et al.. (2009). Probabilistically assisted spot segmentation — With application to DNA microarray images. Chemometrics and Intelligent Laboratory Systems. 98(1). 1–9. 3 indexed citations
6.
Aakra, Ågot, et al.. (2009). Modelling and quality assessment of spots in digital images — With application to DNA microarrays. Chemometrics and Intelligent Laboratory Systems. 98(1). 10–23. 3 indexed citations
7.
Aakra, Ågot, et al.. (2007). Survey of Genomic Diversity among Enterococcus faecalis Strains by Microarray-Based Comparative Genomic Hybridization. Applied and Environmental Microbiology. 73(7). 2207–2217. 29 indexed citations
8.
Snipen, Lars, et al.. (2006). Detection of divergent genes in microbial aCGH experiments. BMC Bioinformatics. 7(1). 181–181. 8 indexed citations
9.
Almøy, Trygve, et al.. (2006). Regression as a Method to Predict Copy Numbers in Comparative Genomic Hybridization Studies on Bacteria. Biometrical Journal. 48(2). 255–270. 1 indexed citations
10.
Almøy, Trygve, et al.. (2006). Mixture Models as a Method to Find Present and Divergent Genes in Comparative Genomic Hybridization Studies on Bacteria. Biometrical Journal. 49(2). 242–258. 3 indexed citations
11.
Aakra, Ågot, Heidi Vebø, Lars Snipen, et al.. (2005). Transcriptional Response of Enterococcus faecalis V583 to Erythromycin. Antimicrobial Agents and Chemotherapy. 49(9). 3989–3989. 1 indexed citations
12.
Aakra, Ågot, Heidi Vebø, Lars Snipen, et al.. (2005). Transcriptional Response of Enterococcus faecalis V583 to Erythromycin. Antimicrobial Agents and Chemotherapy. 49(6). 2246–2259. 69 indexed citations
13.
Diep, Dzung B., Ronny Myhre, Ola Johnsborg, Ågot Aakra, & Ingolf F. Nes. (2003). Inducible bacteriocin production in Lactobacillus is regulated by differential expression of the pln operons and by two antagonizing response regulators, the activity of which is enhanced upon phosphorylation. Molecular Microbiology. 47(2). 483–494. 51 indexed citations
14.
15.
Aakra, Ågot, et al.. (2001). Comparative phylogeny of the ammonia monooxygenase subunit A and 16S rRNA genes of ammonia-oxidizing bacteria. FEMS Microbiology Letters. 205(2). 237–242. 53 indexed citations
16.
Aakra, Ågot. (2001). Comparative phylogeny of the ammonia monooxygenase subunit A and 16S rRNA genes of ammonia-oxidizing bacteria. FEMS Microbiology Letters. 205(2). 237–242. 2 indexed citations
17.
Aakra, Ågot, et al.. (2001). Detailed phylogeny of ammonia-oxidizing bacteria determined by rDNA sequences and DNA homology values.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 51(6). 2021–2030. 44 indexed citations
18.
Aakra, Ågot, Martin Hesselsøe, & Lars R. Bakken. (2000). Surface Attachment of Ammonia-Oxidizing Bacteria in Soil.. PubMed. 39(3). 222–235. 58 indexed citations
19.
Aakra, Ågot, et al.. (1999). An evaluated improvement of the extinction dilution method for isolation of ammonia-oxidizing bacteria. Journal of Microbiological Methods. 39(1). 23–31. 51 indexed citations
20.
Aakra, Ågot, et al.. (1999). RFLP of rRNA genes and sequencing of the 16S-23S rDNA intergenic spacer region of ammonia-oxidizing bacteria: a phylogenetic approach. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 49(1). 123–130. 75 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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