Daniel Bexell
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Co-authors
- Sven Påhlman (10 shared papers)Caroline Wigerup (6 shared papers)Johan Bengzon (10 shared papers)Stefan Scheding (5 shared papers)David Gisselsson (14 shared papers)Salina Gunnarsson (7 shared papers)Anna Darabi (5 shared papers)Andreas Svensson (4 shared papers)
- Journals
- Nature Communications (4 papers)Scientific Reports (3 papers)Science Translational Medicine (2 papers)Molecular Therapy (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- SwedenSpainNetherlands
In The Last Decade
Daniel Bexell
47 papers receiving 2.2k citations
Daniel Bexell's Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 403
- Cancer Research 457
- Neurology 346
- Oncology 320
- Immunology 151
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 48 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 | 583 |
| 2 | 2008 | 207 | |
| 3 | 2016 | 158 | |
| 4 | 2010 | 92 | |
| 5 | 2015 | 86 | |
| 6 | 2014 | 75 | |
| 7 | 2012 | 71 | |
| 8 | 2003 | 68 | |
| 9 | 2015 | 59 | |
| 10 | 2018 | 59 | |
| 11 | 2020 | 52 | |
| 12 | 2009 | 49 | |
| 13 | 2018 | 48 | |
| 14 | 2017 | 46 | |
| 15 | 2021 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2009 | 31 | |
| 18 | 2020 | 29 | |
| 19 | 2016 | 28 | |
| 20 | 2017 | 28 |
About Daniel Bexell
Daniel Bexell is a scholar working on Neurology, Genetics, Cancer Research, Immunology and Developmental Neuroscience, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (24 papers), Glioma Diagnosis and Treatment (6 papers), Mesenchymal stem cell research (6 papers), Immune cells in cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cardiac Imaging and Diagnostics (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (403 citations), Cancer Research (457 citations), Neurology (346 citations), Oncology (320 citations) and Immunology (151 citations). Daniel Bexell has collaborated with scholars based in Sweden, Spain and Netherlands. Frequent co-authors include Sven Påhlman, Caroline Wigerup, Johan Bengzon, Stefan Scheding, David Gisselsson, Salina Gunnarsson, Anna Darabi, Andreas Svensson, Noémie Braekeveldt and Sofie Mohlin. Their work appears in journals such as Nature Communications, Scientific Reports, Science Translational Medicine, Molecular Therapy 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.