Marta Irla
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
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- Microbial Metabolic Engineering and Bioproduction
- Microbial metabolism and enzyme function
- Enzyme Catalysis and Immobilization
- CRISPR and Genetic Engineering
Papers in
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- Microbial Metabolic Engineering and Bioproduction 10
- Microbial metabolism and enzyme function 4
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
- Polyamine Metabolism and Applications 2
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Trygve Brautaset (10 shared papers)Volker F. Wendisch (13 shared papers)Luciana Fernandes Brito (9 shared papers)Ingemar Nærdal (5 shared papers)Trygve Brautaset (7 shared papers)Sigrid Hakvåg (3 shared papers)Jörn Kalinowski (3 shared papers)Tonje Marita Bjerkan Heggeset (3 shared papers)
In The Last Decade
Marta Irla
24 papers receiving 512 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 70
- Molecular Biology 378
- Biotechnology 43
- Biomedical Engineering 138
- Genetics 70
Countries citing papers authored by Marta Irla
This map shows the geographic impact of Marta Irla'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 Marta Irla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Irla more than expected).
Fields of papers citing papers by Marta Irla
This network shows the impact of papers produced by Marta Irla. 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 Marta Irla. The network helps show where Marta Irla may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Irla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 47 | |
| 2 | 2015 | 43 | |
| 3 | 2021 | 43 | |
| 4 | 2016 | 43 | |
| 5 | 2022 | 42 | |
| 6 | 2014 | 34 | |
| 7 | 2019 | 34 | |
| 8 | 2018 | 33 | |
| 9 | 2014 | 30 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2016 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2012 | 8 |
About Marta Irla
Marta Irla is a scholar working on Molecular Biology, Genetics, Biochemistry, Plant Science and Materials Chemistry, having authored 26 papers that have together received 519 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (10 papers), Bacterial Genetics and Biotechnology (8 papers), Amino Acid Enzymes and Metabolism (7 papers), Enzyme Structure and Function (5 papers), Microbial metabolism and enzyme function (4 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (3 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Biochemistry (70 citations), Molecular Biology (378 citations), Biotechnology (43 citations), Biomedical Engineering (138 citations) and Genetics (70 citations). Marta Irla has collaborated with scholars based in Norway, Germany and Denmark. Frequent co-authors include Trygve Brautaset, Volker F. Wendisch, Luciana Fernandes Brito, Ingemar Nærdal, Trygve Brautaset, Sigrid Hakvåg, Jörn Kalinowski, Tonje Marita Bjerkan Heggeset, Christian Rückert and Magdalena Mika. Their work appears in journals such as Microbial Cell Factories, Journal of Biotechnology, Microbial Biotechnology, BMC Genomics and Frontiers in Microbiology.
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.