Daniel Öberg
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Biotechnology top 10%
- Cancer Research and Treatments
Papers in
-
- RNA Research and Splicing 5
- RNA Interference and Gene Delivery 3
- RNA modifications and cancer 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Genetics 9
- Virus-based gene therapy research 9
- Co-authors
- Stefan Schwartz (5 shared papers)Xiaomin Zhao (3 shared papers)B. Collier (3 shared papers)Gunnel Halldén (4 shared papers)H. Lambkin (2 shared papers)Joanna Fay (2 shared papers)Iain A. McNeish (2 shared papers)Katrina Sweeney (2 shared papers)
- Journals
- Journal of Virology (4 papers)Clinical Cancer Research (2 papers)Nucleic Acids Research (2 papers)Virology (2 papers)BMC Medicine (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Daniel Öberg
16 papers receiving 625 citations
Peers
Comparison fields: 5 of 54
- Genetics 273
- Biotechnology 75
- Oncology 168
- Epidemiology 199
- Molecular Biology 363
Countries citing papers authored by Daniel Öberg
This map shows the geographic impact of Daniel Öberg'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 Daniel Öberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Öberg more than expected).
Fields of papers citing papers by Daniel Öberg
This network shows the impact of papers produced by Daniel Öberg. 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 Daniel Öberg. The network helps show where Daniel Öberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Öberg, 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 | 2002 | 85 | |
| 2 | 2013 | 67 | |
| 3 | 2005 | 60 | |
| 4 | 2009 | 60 | |
| 5 | 2005 | 56 | |
| 6 | 2010 | 56 | |
| 7 | 2013 | 56 | |
| 8 | 2010 | 49 | |
| 9 | 2003 | 46 | |
| 10 | 2013 | 41 | |
| 11 | 2004 | 19 | |
| 12 | 2015 | 15 | |
| 13 | 2012 | 12 | |
| 14 | 2010 | 12 | |
| 15 | 2022 | 3 | |
| 16 | 2012 | 3 |
About Daniel Öberg
Daniel Öberg is a scholar working on Molecular Biology, Genetics, Epidemiology, Oncology and Immunology, having authored 16 papers that have together received 640 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), RNA Research and Splicing (5 papers), Cervical Cancer and HPV Research (4 papers), RNA Interference and Gene Delivery (3 papers), RNA modifications and cancer (3 papers), CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Genetics (273 citations), Biotechnology (75 citations), Oncology (168 citations), Epidemiology (199 citations) and Molecular Biology (363 citations). Daniel Öberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Stefan Schwartz, Xiaomin Zhao, B. Collier, Gunnel Halldén, H. Lambkin, Joanna Fay, Iain A. McNeish, Katrina Sweeney, Göran Akusjärvi and Margaret Rush. Their work appears in journals such as Journal of Virology, Clinical Cancer Research, Nucleic Acids Research, Virology and BMC Medicine.
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.