Ulrika Andersson
Impact in
Papers in
- Co-authors
- Beatrice Melin (17 shared papers)Roger Henriksson (13 shared papers)A. Tommy Bergenheim (4 shared papers)Beatrice Malmer (6 shared papers)Thomas Brännström (10 shared papers)Carl Wibom (13 shared papers)Dongsheng Guo (1 shared paper)Göran Roos (2 shared papers)
- Journals
- Journal of Neuro-Oncology (6 papers)Nature Genetics (4 papers)Acta Oncologica (4 papers)International Journal of Cancer (3 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Ulrika Andersson
45 papers receiving 2.8k citations
Ulrika Andersson's Hit Papers
Peers
Comparison fields: 5 of 64
- Genetics 915
- Aging 21
- Genetics 369
- Cancer Research 158
- Hematology 147
Countries citing papers authored by Ulrika Andersson
This map shows the geographic impact of Ulrika Andersson'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 Ulrika Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrika Andersson more than expected).
Fields of papers citing papers by Ulrika Andersson
This network shows the impact of papers produced by Ulrika Andersson. 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 Ulrika Andersson. The network helps show where Ulrika Andersson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrika Andersson, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide association study identifies five susceptibility loci for glioma Hit paper breakdown → | 2009 | 679 |
| 2 | 2012 | 483 | |
| 3 | 2017 | 260 | |
| 4 | 2012 | 210 | |
| 5 | 2015 | 144 | |
| 6 | 2004 | 124 | |
| 7 | 2010 | 102 | |
| 8 | 2010 | 66 | |
| 9 | 2018 | 64 | |
| 10 | 2012 | 55 | |
| 11 | 2011 | 45 | |
| 12 | 2016 | 45 | |
| 13 | 2004 | 44 | |
| 14 | Heterogeneity in the expression of markers for drug resistance in brain tumors. | 2004 | 40 |
| 15 | 2015 | 34 | |
| 16 | 2018 | 34 | |
| 17 | 2016 | 29 | |
| 18 | 2009 | 26 | |
| 19 | 2018 | 26 | |
| 20 | 2010 | 25 |
About Ulrika Andersson
Ulrika Andersson is a scholar working on Genetics, Oncology, Genetics, Epidemiology and Cancer Research, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Drug Transport and Resistance Mechanisms (4 papers), Genetic Associations and Epidemiology (3 papers), Meningioma and schwannoma management (2 papers), Telomeres, Telomerase, and Senescence (1 paper), Cancer Genomics and Diagnostics (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Genetics (915 citations), Aging (21 citations), Genetics (369 citations), Cancer Research (158 citations) and Hematology (147 citations). Ulrika Andersson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Beatrice Melin, Roger Henriksson, A. Tommy Bergenheim, Beatrice Malmer, Thomas Brännström, Carl Wibom, Dongsheng Guo, Göran Roos, Anna M. Dahlin and Katarina Nordfjäll. Their work appears in journals such as Journal of Neuro-Oncology, Nature Genetics, Acta Oncologica, International Journal of Cancer and Cancer Epidemiology Biomarkers & Prevention.
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.