Merja Oja

1.4k total citations
24 papers, 931 citations indexed

About

Merja Oja is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Merja Oja has authored 24 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Biomedical Engineering and 7 papers in Plant Science. Recurrent topics in Merja Oja's work include Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Chromosomal and Genetic Variations (6 papers). Merja Oja is often cited by papers focused on Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Chromosomal and Genetic Variations (6 papers). Merja Oja collaborates with scholars based in Finland, Sweden and France. Merja Oja's co-authors include Samuel Kaski, Teuvo Kohonen, Merja Penttilä, Mikko Arvas, Tiina Pakula, Markku Saloheimo, Jonas Blomberg, Mari Häkkinen, Nina Aro and Eero Ċastrén and has published in prestigious journals such as PLoS ONE, Applied Microbiology and Biotechnology and BMC Bioinformatics.

In The Last Decade

Merja Oja

24 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Merja Oja Finland 15 533 279 162 161 100 24 931
Uroš Petrovič Slovenia 17 715 1.3× 143 0.5× 134 0.8× 43 0.3× 26 0.3× 39 983
Huaiqiang Zhang China 14 201 0.4× 169 0.6× 157 1.0× 32 0.2× 47 0.5× 48 767
Mingzhou Song United States 17 432 0.8× 145 0.5× 656 4.0× 150 0.9× 85 0.8× 66 1.4k
Tadashi Matsumoto Japan 18 292 0.5× 106 0.4× 457 2.8× 51 0.3× 48 0.5× 160 1.5k
Lonnie R. Welch United States 19 725 1.4× 76 0.3× 553 3.4× 112 0.7× 30 0.3× 116 1.5k
Lei Duan China 16 191 0.4× 243 0.9× 75 0.5× 225 1.4× 50 0.5× 99 896
Wook-Dong Kim South Korea 13 203 0.4× 44 0.2× 60 0.4× 152 0.9× 69 0.7× 39 539
Jilong Wang China 16 471 0.9× 166 0.6× 44 0.3× 226 1.4× 144 1.4× 109 1.2k
Marc Strickert Germany 21 632 1.2× 62 0.2× 1.1k 6.5× 381 2.4× 239 2.4× 68 1.8k
Björn H. Junker Germany 19 1.1k 2.1× 226 0.8× 345 2.1× 35 0.2× 39 0.4× 46 1.5k

Countries citing papers authored by Merja Oja

Since Specialization
Citations

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

Fields of papers citing papers by Merja Oja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merja Oja

This figure shows the co-authorship network connecting the top 25 collaborators of Merja Oja. A scholar is included among the top collaborators of Merja Oja 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 Merja Oja. Merja Oja 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.
Castillo, Sandra, Dorothee Barth, Mikko Arvas, et al.. (2016). Whole-genome metabolic model of Trichoderma reesei built by comparative reconstruction. Biotechnology for Biofuels. 9(1). 252–252. 16 indexed citations
2.
Kludas, Jana, Mikko Arvas, Sandra Castillo, et al.. (2016). Machine Learning of Protein Interactions in Fungal Secretory Pathways. PLoS ONE. 11(7). e0159302–e0159302. 13 indexed citations
3.
Krogerus, Kristoffer, Mikko Arvas, Matteo De Chiara, et al.. (2016). Ploidy influences the functional attributes of de novo lager yeast hybrids. Applied Microbiology and Biotechnology. 100(16). 7203–7222. 63 indexed citations
4.
Andberg, Martina, Merja Oja, Sophie Bozonnet, et al.. (2016). Characterization and mutagenesis of two novel iron–sulphur cluster pentonate dehydratases. Applied Microbiology and Biotechnology. 100(17). 7549–7563. 29 indexed citations
5.
Ilmén, Marja, et al.. (2015). Identification of novel isoprene synthases through genome mining and expression in Escherichia coli. Metabolic Engineering. 31. 153–162. 25 indexed citations
6.
Wiebe, Marilyn G., Yvonne Nygård, Merja Oja, et al.. (2015). A novel aldose-aldose oxidoreductase for co-production of D-xylonate and xylitol from D-xylose with Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 99(22). 9439–9447. 15 indexed citations
7.
Salusjärvi, Laura, Dorothee Barth, Merja Oja, et al.. (2015). Xylose-induced dynamic effects on metabolism and gene expression in engineered Saccharomyces cerevisiae in anaerobic glucose-xylose cultures. Applied Microbiology and Biotechnology. 100(2). 969–985. 21 indexed citations
8.
Mojžita, Dominik, Merja Oja, Eija Rintala, et al.. (2014). Transcriptome of Saccharomyces cerevisiae during production of D-xylonate. BMC Genomics. 15(1). 763–763. 5 indexed citations
9.
10.
Toivari, Mervi, Hannu Maaheimo, Mikko Ylilauri, et al.. (2014). l-Arabinose/d-galactose 1-dehydrogenase of Rhizobium leguminosarum bv. trifolii characterised and applied for bioconversion of l-arabinose to l-arabonate with Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 98(23). 9653–9665. 13 indexed citations
11.
Pitkänen, Esa, Paula Jouhten, Peter Blomberg, et al.. (2014). Comparative Genome-Scale Reconstruction of Gapless Metabolic Networks for Present and Ancestral Species. PLoS Computational Biology. 10(2). e1003465–e1003465. 88 indexed citations
12.
13.
Häkkinen, Mari, Mikko Arvas, Merja Oja, et al.. (2012). Re-annotation of the CAZy genes of Trichoderma reesei and transcription in the presence of lignocellulosic substrates. Microbial Cell Factories. 11(1). 134–134. 122 indexed citations
14.
Qi, Yanjun, Merja Oja, Jason Weston, & William Stafford Noble. (2012). A Unified Multitask Architecture for Predicting Local Protein Properties. PLoS ONE. 7(3). e32235–e32235. 34 indexed citations
15.
Vitikainen, Marika, Mikko Arvas, Tiina Pakula, et al.. (2010). Array comparative genomic hybridization analysis of Trichoderma reesei strains with enhanced cellulase production properties. BMC Genomics. 11(1). 441–441. 58 indexed citations
16.
Benachenhou, Farid, Patric Jern, Merja Oja, et al.. (2009). Evolutionary Conservation of Orthoretroviral Long Terminal Repeats (LTRs) and ab initio Detection of Single LTRs in Genomic Data. PLoS ONE. 4(4). e5179–e5179. 28 indexed citations
17.
Oja, Merja, Jaakko Peltonen, Jonas Blomberg, & Samuel Kaski. (2007). Methods for estimating human endogenous retrovirus activities from EST databases. BMC Bioinformatics. 8(S2). S11–S11. 32 indexed citations
18.
Kaski, Samuel, Janne Nikkilä, Merja Oja, et al.. (2003). Trustworthiness and metrics in visualizing similarity of gene expression. BMC Bioinformatics. 4(1). 48–48. 97 indexed citations
19.
Oja, Merja, Panu Somervuo, Samuel Kaski, & Teuvo Kohonen. (2003). Clustering of Human Endogenous Retrovirus Sequences with Median Self-Organizing Map. 8 indexed citations
20.
Oja, Merja, Samuel Kaski, & Teuvo Kohonen. (2003). Bibliography of Self-Organizing Map SOM) Papers: 1998-2001 Addendum. 3. 1–156. 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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