Daniel Hägerstrand
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 3
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Monica Nistér (11 shared papers)Arne Östman (5 shared papers)Göran Hesselager (2 shared papers)Maja Bradic Lindh (2 shared papers)Xiaobing He (1 shared paper)Arne Östman (2 shared papers)C-H Heldin (1 shared paper)Elin Sjöberg (2 shared papers)
- Journals
- Neuro-Oncology (3 papers)Oncogene (3 papers)Oncotarget (2 papers)Cancer Research (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- SwedenUnited StatesSwitzerland
In The Last Decade
Daniel Hägerstrand
16 papers receiving 480 citations
Peers
Comparison fields: 5 of 60
- Genetics 131
- Cancer Research 168
- Oncology 176
- Immunology 109
- Molecular Biology 253
Countries citing papers authored by Daniel Hägerstrand
This map shows the geographic impact of Daniel Hägerstrand'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 Hägerstrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hägerstrand more than expected).
Fields of papers citing papers by Daniel Hägerstrand
This network shows the impact of papers produced by Daniel Hägerstrand. 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 Hägerstrand. The network helps show where Daniel Hägerstrand may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hägerstrand, 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 | 2019 | 87 | |
| 2 | 2006 | 78 | |
| 3 | 2011 | 73 | |
| 4 | 2019 | 56 | |
| 5 | 2013 | 51 | |
| 6 | 2017 | 35 | |
| 7 | 2010 | 30 | |
| 8 | 2021 | 17 | |
| 9 | 2016 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2007 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2021 | 4 | |
| 16 | 2016 | 1 |
About Daniel Hägerstrand
Daniel Hägerstrand is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Hematology, having authored 16 papers that have together received 482 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers), RNA Research and Splicing (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Synthetic Organic Chemistry Methods (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (131 citations), Cancer Research (168 citations), Oncology (176 citations), Immunology (109 citations) and Molecular Biology (253 citations). Daniel Hägerstrand has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Monica Nistér, Arne Östman, Göran Hesselager, Maja Bradic Lindh, Xiaobing He, Arne Östman, C-H Heldin, Elin Sjöberg, Marianne Kastemar and Sefanja Achterberg. Their work appears in journals such as Neuro-Oncology, Oncogene, Oncotarget, Cancer Research and Clinical Cancer 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.