Göran Jönsson
- Oncology top 1%
- Cutaneous Melanoma Detection and Management 24
- Cancer Immunotherapy and Biomarkers 17
- CAR-T cell therapy research 14
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 24
- Immunology top 2%
- Immunotherapy and Immune Responses 21
- Molecular Biology top 2%
- Melanoma and MAPK Pathways 22
- Ophthalmology top 2%
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- Genomic variations and chromosomal abnormalities 13
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- Genetic factors in colorectal cancer 10
- Co-authors
- Markus RingnérJohan StaafÅke BorgJohan Vallon‐ChristerssonMartin LaussInge Marie SvaneHåkan OlssonMarco Donia
- Cited by
- OncologyCancer ResearchImmunology
- Partner nations
- SwedenDenmarkUnited States
In The Last Decade
Göran Jönsson
115 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 128
- Oncology 2.2k
- Cancer Research 1.2k
- Immunology 1.1k
- Molecular Biology 2.5k
- Ophthalmology 227
Countries citing papers authored by Göran Jönsson
This map shows the geographic impact of Göran Jönsson'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 Jönsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Göran Jönsson more than expected).
Fields of papers citing papers by Göran Jönsson
This network shows the impact of papers produced by Göran Jönsson. 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 Jönsson. The network helps show where Göran Jönsson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Göran Jönsson, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 9 | |
| 4 | Neoantigen-reactive CD8+ T cells affect clinical outcome of adoptive transfer with tumor-infiltrating lymphocytes in melanoma | 2021 | 77 |
| 5 | 2021 | 21 | |
| 6 | 2021 | 86 | |
| 7 | 2020 | 50 | |
| 8 | 2020 | 68 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 17 | |
| 11 | Novel germline variants in cutaneous and uveal melanoma families | 2017 | 1 |
| 12 | Novel high risk genes of melanoma | 2017 | 17 |
| 13 | 2015 | 153 | |
| 14 | 2014 | 82 | |
| 15 | 2014 | 196 | |
| 16 | 2013 | 21 | |
| 17 | 2012 | 72 | |
| 18 | 2010 | 189 | |
| 19 | 2007 | 156 | |
| 20 | 2006 | 34 |
About Göran Jönsson
Göran Jönsson is a scholar working on Oncology, Cancer Research, Immunology, Genetics and Cell Biology, having authored 118 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (24 papers), Cutaneous Melanoma Detection and Management (24 papers), Melanoma and MAPK Pathways (22 papers), Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (17 papers), CAR-T cell therapy research (14 papers), Genomic variations and chromosomal abnormalities (13 papers) and Genetic factors in colorectal cancer (10 papers). The work is most often cited by research in Oncology (2.2k citations), Cancer Research (1.2k citations), Immunology (1.1k citations), Molecular Biology (2.5k citations) and Ophthalmology (227 citations). Göran Jönsson has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Markus Ringnér, Johan Staaf, Åke Borg, Johan Vallon‐Christersson, Martin Lauss, Inge Marie Svane, Håkan Olsson, Marco Donia, Katja Harbst and Christian Ingvar. Their work appears in journals such as PLoS ONE, Clinical Cancer Research, Nature Communications, Acta veterinaria Scandinavica and Pigment Cell & Melanoma Research.
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.