Mona Møller
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
Papers in
-
- Immunotherapy and Immune Responses 5
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Gustav Gaudernack (6 shared papers)Jon Amund Eriksen (6 shared papers)Marianne Klemp (3 shared papers)Trond Buanes (3 shared papers)Paal Brunsvig (2 shared papers)Steinar Aamdal (2 shared papers)Stephan Bernhardt (2 shared papers)Dagmar S. Trachsel (1 shared paper)
- Journals
- Cancer Immunology Immunotherapy (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- NorwaySwitzerlandUnited States
In The Last Decade
Mona Møller
7 papers receiving 938 citations
Peers
Comparison fields: 5 of 43
- Immunology 476
- Oncology 521
- Biotechnology 115
- Pathology and Forensic Medicine 108
- Cancer Research 88
Countries citing papers authored by Mona Møller
This map shows the geographic impact of Mona Møller'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 Mona Møller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Møller more than expected).
Fields of papers citing papers by Mona Møller
This network shows the impact of papers produced by Mona Møller. 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 Mona Møller. The network helps show where Mona Møller may publish in the future.
Co-authors
The 24 scholars most cited alongside Mona Møller, 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 | 2006 | 239 | |
| 2 | 2001 | 209 | |
| 3 | 2006 | 196 | |
| 4 | 2010 | 139 | |
| 5 | 2011 | 132 | |
| 6 | 2011 | 47 | |
| 7 | 2005 | 6 |
About Mona Møller
Mona Møller is a scholar working on Immunology, Oncology, Biotechnology, Pathology and Forensic Medicine and Genetics, having authored 7 papers that have together received 968 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Research and Treatments (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Virus-based gene therapy research (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Immunology (476 citations), Oncology (521 citations), Biotechnology (115 citations), Pathology and Forensic Medicine (108 citations) and Cancer Research (88 citations). Mona Møller has collaborated with scholars based in Norway, Switzerland and United States. Frequent co-authors include Gustav Gaudernack, Jon Amund Eriksen, Marianne Klemp, Trond Buanes, Paal Brunsvig, Steinar Aamdal, Stephan Bernhardt, Dagmar S. Trachsel, Sissel Trachsel and Ivar P. Gladhaug. Their work appears in journals such as Cancer Immunology Immunotherapy, Journal of Clinical Oncology, Clinical Cancer Research, Proceedings of the National Academy of Sciences and International Journal of Cancer.
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.