Tomas Åkerud
Impact in
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- Computational Drug Discovery Methods
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- Mass Spectrometry Techniques and Applications
- Advanced NMR Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
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- Protein Tyrosine Phosphatases 2
- Signaling Pathways in Disease 2
- Receptor Mechanisms and Signaling 2
- Protein Kinase Regulation and GTPase Signaling 2
- Peroxisome Proliferator-Activated Receptors 1
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- Enzyme Structure and Function 3
- Co-authors
- Göran Dahl (2 shared papers)Mikael Akke (2 shared papers)Robert L. Van Etten (1 shared paper)Eva Thulin (1 shared paper)Miquel Pons (1 shared paper)José Garcı́a de la Torre (1 shared paper)Pau Bernadó (1 shared paper)Alistair Sterling (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)SLAS DISCOVERY (2 papers)Journal of the American Chemical Society (2 papers)Pharmacological Research (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Tomas Åkerud
11 papers receiving 370 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 65
- Spectroscopy 67
- Molecular Biology 264
- Biophysics 13
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Tomas Åkerud
This map shows the geographic impact of Tomas Åkerud'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 Tomas Åkerud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomas Åkerud more than expected).
Fields of papers citing papers by Tomas Åkerud
This network shows the impact of papers produced by Tomas Åkerud. 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 Tomas Åkerud. The network helps show where Tomas Åkerud may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomas Åkerud, 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 | 2013 | 162 | |
| 2 | 2002 | 49 | |
| 3 | 2002 | 37 | |
| 4 | 2003 | 37 | |
| 5 | 2002 | 34 | |
| 6 | 2018 | 24 | |
| 7 | 2018 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2013 | 9 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 2 |
About Tomas Åkerud
Tomas Åkerud is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Spectroscopy and Organic Chemistry, having authored 11 papers that have together received 382 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Protein Tyrosine Phosphatases (2 papers), Signaling Pathways in Disease (2 papers), Receptor Mechanisms and Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Synthesis and Reactivity of Heterocycles (1 paper) and Synthesis and biological activity (1 paper). The work is most often cited by research in Computational Theory and Mathematics (65 citations), Spectroscopy (67 citations), Molecular Biology (264 citations), Biophysics (13 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Tomas Åkerud has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Göran Dahl, Mikael Akke, Robert L. Van Etten, Eva Thulin, Miquel Pons, José Garcı́a de la Torre, Pau Bernadó, Alistair Sterling, Johan Roeraade and Colleen K. Van Pelt. Their work appears in journals such as Journal of Biological Chemistry, SLAS DISCOVERY, Journal of the American Chemical Society, Pharmacological Research and Drug Discovery Today.
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.