Rasmus Ågren
Impact in
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
- Enzyme Catalysis and Immobilization
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Chronic Kidney Disease and Diabetes 2
-
- Microbial Metabolic Engineering and Bioproduction 12
- Gene Regulatory Network Analysis 4
- Bioinformatics and Genomic Networks 4
- Metabolomics and Mass Spectrometry Studies 3
- Enzyme Catalysis and Immobilization 3
- Co-authors
- Jens NielsenAdil MardinoğluIntawat NookaewMathias UhlénCaroline KampfAnna AsplundSergio BordelSaeed Shoaie
- Journals
- PLoS Computational Biology (5 papers)BMC Systems Biology (2 papers)Molecular Systems Biology (2 papers)iScience (1 paper)Scientific Reports (1 paper)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Rasmus Ågren
20 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.1k
- Cancer Research 236
- Biomedical Engineering 554
- Biochemistry 67
- Physiology 208
Countries citing papers authored by Rasmus Ågren
This map shows the geographic impact of Rasmus Ågren'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 Rasmus Ågren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasmus Ågren more than expected).
Fields of papers citing papers by Rasmus Ågren
This network shows the impact of papers produced by Rasmus Ågren. 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 Rasmus Ågren. The network helps show where Rasmus Ågren may publish in the future.
Co-authors
The 25 scholars most cited alongside Rasmus Ågren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2023 | 9 | |
| 3 | 2021 | 26 | |
| 4 | 2019 | 43 | |
| 5 | 2018 | 233 | |
| 6 | 2017 | 36 | |
| 7 | 2017 | 21 | |
| 8 | 2015 | 69 | |
| 9 | 2014 | 280 | |
| 10 | Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease Hit paper breakdown → | 2014 | 388 |
| 11 | 2013 | 182 | |
| 12 | 2013 | 319 | |
| 13 | On metabolic networks and multi-omics integration | 2013 | 1 |
| 14 | 2013 | 61 | |
| 15 | 2012 | 100 | |
| 16 | 2012 | 327 | |
| 17 | 2011 | 27 | |
| 18 | 2010 | 141 | |
| 19 | 2010 | 73 | |
| 20 | 2010 | 73 |
About Rasmus Ågren
Rasmus Ågren is a scholar working on Nephrology, Molecular Biology, Parasitology, Biomedical Engineering and Environmental Chemistry, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (6 papers), Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Enzyme Catalysis and Immobilization (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (236 citations), Biomedical Engineering (554 citations), Biochemistry (67 citations) and Physiology (208 citations). Rasmus Ågren has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Jens Nielsen, Adil Mardinoğlu, Intawat Nookaew, Mathias Uhlén, Caroline Kampf, Anna Asplund, Sergio Bordel, Saeed Shoaie, Li Liu and Wanwipa Vongsangnak. Their work appears in journals such as PLoS Computational Biology, BMC Systems Biology, Molecular Systems Biology, iScience and Scientific Reports.
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.