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 3
- Signaling Pathways in Disease 2
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Tomas Åkerud (2 shared papers)Helen Boyd (3 shared papers)Kévin Moreau (2 shared papers)Fiona Pachl (2 shared papers)Andrew X. Zhang (2 shared papers)U. Helena Danielson (7 shared papers)Pete Newham (1 shared paper)Muireann Coen (1 shared paper)
- Journals
- SLAS DISCOVERY (3 papers)Drug Discovery Today (2 papers)Antiviral Therapy (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Göran Dahl
22 papers receiving 659 citations
Peers
Comparison fields: 5 of 81
- Hepatology 68
- Molecular Biology 462
- Computational Theory and Mathematics 87
- Oncology 147
- Hematology 48
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 160 | |
| 2 | 2020 | 158 | |
| 3 | 2016 | 62 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 35 | |
| 6 | 2016 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2007 | 22 | |
| 10 | 2007 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2008 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2010 | 11 | |
| 16 | 2010 | 9 | |
| 17 | 2009 | 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, Infectious Diseases and Oncology, having authored 22 papers that have together received 677 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), HIV/AIDS drug development and treatment (5 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Hepatitis B Virus Studies (3 papers), Signaling Pathways in Disease (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Hepatology (68 citations), Molecular Biology (462 citations), Computational Theory and Mathematics (87 citations), Oncology (147 citations) and Hematology (48 citations). Göran Dahl has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Tomas Åkerud, Helen Boyd, Kévin Moreau, Fiona Pachl, Andrew X. Zhang, U. Helena Danielson, Pete Newham, Muireann Coen, Clay W. Scott and M. Paola Castaldi. Their work appears in journals such as SLAS DISCOVERY, Drug Discovery Today, Antiviral Therapy, Journal of Medicinal Chemistry and Journal of the American Chemical Society.
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.