Daniel Bexell
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Genetics top 2%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Glioma Diagnosis and Treatment
Papers in
-
- Protein Degradation and Inhibitors 3
- Neurology 18
- Neuroblastoma Research and Treatments 18
- Co-authors
- Sven Påhlman (10 shared papers)Caroline Wigerup (6 shared papers)Johan Bengzon (10 shared papers)Stefan Scheding (5 shared papers)Salina Gunnarsson (7 shared papers)David Gisselsson (13 shared papers)Anna Darabi (5 shared papers)Andreas Svensson (4 shared papers)
- Journals
- Nature Communications (3 papers)Scientific Reports (3 papers)International Journal of Cancer (2 papers)Molecular Therapy (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- SwedenSpainUnited States
In The Last Decade
Daniel Bexell
39 papers receiving 1.9k citations
Daniel Bexell's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 692
- Genetics 324
- Neurology 295
- Oncology 507
- Immunology 254
Countries citing papers authored by Daniel Bexell
This map shows the geographic impact of Daniel Bexell'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 Bexell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bexell more than expected).
Fields of papers citing papers by Daniel Bexell
This network shows the impact of papers produced by Daniel Bexell. 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 Bexell. The network helps show where Daniel Bexell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bexell, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Therapeutic targeting of hypoxia and hypoxia-inducible factors in cancer Hit paper breakdown → | 2016 | 565 |
| 2 | 2008 | 206 | |
| 3 | 2016 | 149 | |
| 4 | 2010 | 90 | |
| 5 | 2015 | 78 | |
| 6 | 2012 | 70 | |
| 7 | 2003 | 66 | |
| 8 | 2014 | 63 | |
| 9 | 2009 | 48 | |
| 10 | 2018 | 47 | |
| 11 | 2020 | 45 | |
| 12 | 2017 | 42 | |
| 13 | 2021 | 32 | |
| 14 | 2009 | 31 | |
| 15 | 2019 | 30 | |
| 16 | 2016 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2011 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2020 | 24 |
About Daniel Bexell
Daniel Bexell is a scholar working on Molecular Biology, Neurology, Cancer Research, Oncology and Genetics, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (18 papers), Cancer, Hypoxia, and Metabolism (14 papers), Cancer Cells and Metastasis (6 papers), Mesenchymal stem cell research (6 papers), Cancer Research and Treatments (5 papers), Immune cells in cancer (4 papers), Virus-based gene therapy research (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (692 citations), Genetics (324 citations), Neurology (295 citations), Oncology (507 citations) and Immunology (254 citations). Daniel Bexell has collaborated with scholars based in Sweden, Spain and United States. Frequent co-authors include Sven Påhlman, Caroline Wigerup, Johan Bengzon, Stefan Scheding, Salina Gunnarsson, David Gisselsson, Anna Darabi, Andreas Svensson, Noémie Braekeveldt and Sofie Mohlin. Their work appears in journals such as Nature Communications, Scientific Reports, International Journal of Cancer, Molecular Therapy and Experimental Cell 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.