Göran Dahl
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 4
- Advanced Biosensing Techniques and Applications 2
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Tomas Åkerud (2 shared papers)Kévin Moreau (2 shared papers)U. Helena Danielson (7 shared papers)Andrew X. Zhang (2 shared papers)Helen Boyd (3 shared papers)Fiona Pachl (2 shared papers)Pete Newham (1 shared paper)Muireann Coen (1 shared paper)
- Journals
- SLAS DISCOVERY (3 papers)Antiviral Therapy (2 papers)Journal of Medicinal Chemistry (2 papers)Drug Discovery Today (2 papers)Nature Chemical Biology (1 paper)
- Partner nations
- SwedenUnited KingdomJapan
In The Last Decade
Göran Dahl
22 papers receiving 694 citations
Peers
Comparison fields: 5 of 83
- Hepatology 63
- Molecular Biology 469
- Oncology 147
- Computational Theory and Mathematics 89
- Hematology 49
Countries citing papers authored by Göran Dahl
This map shows the geographic impact of Göran Dahl'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 Göran Dahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Göran Dahl more than expected).
Fields of papers citing papers by Göran Dahl
This network shows the impact of papers produced by Göran Dahl. 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 Göran Dahl. The network helps show where Göran Dahl may publish in the future.
Co-authors
The 25 scholars most cited alongside Göran Dahl, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 169 | |
| 2 | 2013 | 169 | |
| 3 | 2016 | 67 | |
| 4 | 2019 | 40 | |
| 5 | 2020 | 38 | |
| 6 | 2019 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 24 | |
| 9 | 2007 | 22 | |
| 10 | 2007 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2008 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2010 | 11 | |
| 16 | 2009 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 1977 | 5 | |
| 20 | 2016 | 4 |
About Göran Dahl
Göran Dahl is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hepatology, Oncology and Infectious Diseases, having authored 24 papers that have together received 715 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Hepatitis C virus research (6 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers), HIV/AIDS drug development and treatment (3 papers), Hepatitis B Virus Studies (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Hepatology (63 citations), Molecular Biology (469 citations), Oncology (147 citations), Computational Theory and Mathematics (89 citations) and Hematology (49 citations). Göran Dahl has collaborated with scholars based in Sweden, United Kingdom and Japan. Frequent co-authors include Tomas Åkerud, Kévin Moreau, U. Helena Danielson, Andrew X. Zhang, Helen Boyd, Fiona Pachl, Pete Newham, Muireann Coen, M. Paola Castaldi and Clay W. Scott. Their work appears in journals such as SLAS DISCOVERY, Antiviral Therapy, Journal of Medicinal Chemistry, Drug Discovery Today and Nature Chemical Biology.
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.