Göran Wadell
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology 59
- Viral Infections and Vectors 17
- Genetics top 0.1%
- Virus-based gene therapy research 113
- Epidemiology top 0.2%
- Cervical Cancer and HPV Research 41
- Microbiology top 0.2%
- Rheumatology top 0.5%
-
- Viral Infectious Diseases and Gene Expression in Insects 49
- Molecular Biology Techniques and Applications 17
-
- CAR-T cell therapy research 26
-
- Viral Infections and Immunology Research 17
- Co-authors
- Annika AllardNiklas ArnbergJoakim DillnerHans StenlundSolbritt Rantapää‐DahlqvistPer JutoGöran HallmansEwa Berglin
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Göran Wadell
217 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 4.5k
- Genetics 5.3k
- Epidemiology 5.2k
- Microbiology 913
- Rheumatology 1.6k
Countries citing papers authored by Göran Wadell
This map shows the geographic impact of Göran Wadell'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 Wadell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Göran Wadell more than expected).
Fields of papers citing papers by Göran Wadell
This network shows the impact of papers produced by Göran Wadell. 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 Wadell. The network helps show where Göran Wadell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Göran Wadell, 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 | 2011 | 168 | |
| 2 | 2010 | 3 | |
| 3 | 2006 | 11 | |
| 4 | Antibodies against cyclic citrullinated peptide before disease onset predict radiological outcome of rheumatoid arthritis | 2004 | 1 |
| 5 | 2004 | 14 | |
| 6 | Antibodies against citrullinated peptides (CCP) predict the development of rheumatoid | 2002 | 6 |
| 7 | 2002 | 64 | |
| 8 | 2002 | 60 | |
| 9 | 1997 | 36 | |
| 10 | 1997 | 53 | |
| 11 | 1997 | 16 | |
| 12 | 1996 | 30 | |
| 13 | 1996 | 3 | |
| 14 | 1996 | 7 | |
| 15 | 1995 | 14 | |
| 16 | 1992 | 40 | |
| 17 | 1991 | 57 | |
| 18 | 1991 | 2 | |
| 19 | 1990 | 11 | |
| 20 | 1989 | 91 |
About Göran Wadell
Göran Wadell is a scholar working on Infectious Diseases, Genetics and Epidemiology, having authored 218 papers that have together received 13.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (113 papers), Viral gastroenteritis research and epidemiology (59 papers), Viral Infectious Diseases and Gene Expression in Insects (49 papers), Cervical Cancer and HPV Research (41 papers), CAR-T cell therapy research (26 papers), Viral Infections and Vectors (17 papers), Molecular Biology Techniques and Applications (17 papers) and Viral Infections and Immunology Research (17 papers). The work is most often cited by research in Infectious Diseases (4.5k citations), Genetics (5.3k citations) and Epidemiology (5.2k citations). Göran Wadell has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Annika Allard, Niklas Arnberg, Joakim Dillner, Hans Stenlund, Solbritt Rantapää‐Dahlqvist, Per Juto, Göran Hallmans, Ewa Berglin, Eva Rylander and Ulf Sundin. Their work appears in journals such as Journal of Medical Virology, Journal of Virology, Virology, Archives of Virology and Journal of Clinical Microbiology.
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.