A. Jonas Ekstrand
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 1%
- Cellular and Molecular Neuroscience top 5%
- Cancer Research top 5%
- Co-authors
- C. David JamesV. Peter CollinsNoriaki SugawaWebster K. CaveneeBarbara SeligerRalf F. PetterssonHessameh HassaniLu Liu
- Topics
- Neuropeptides and Animal Physiology (6 papers)HER2/EGFR in Cancer Research (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Partner nations
- SwedenUnited StatesBelgium
In The Last Decade
A. Jonas Ekstrand
16 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.1k
- Oncology 795
- Genetics 634
- Cellular and Molecular Neuroscience 412
- Cancer Research 362
Countries citing papers authored by A. Jonas Ekstrand
This map shows the geographic impact of A. Jonas Ekstrand'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 A. Jonas Ekstrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Jonas Ekstrand more than expected).
Fields of papers citing papers by A. Jonas Ekstrand
This network shows the impact of papers produced by A. Jonas Ekstrand. 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 A. Jonas Ekstrand. The network helps show where A. Jonas Ekstrand may publish in the future.
Co-authorship network of co-authors of A. Jonas Ekstrand
This figure shows the co-authorship network connecting the top 25 collaborators of A. Jonas Ekstrand. A scholar is included among the top collaborators of A. Jonas Ekstrand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Jonas Ekstrand. A. Jonas Ekstrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 100 | |
| 3 | 154 | |
| 4 | 31 | |
| 5 | 34 | |
| 6 | 30 | |
| 7 | 5 | |
| 8 | 222 | |
| 9 | 30 | |
| 10 | 3 | |
| 11 | Altered subcellular location of an activated and tumour-associated epidermal growth factor receptor. | 45 |
| 12 | Functional characterization of an EGF receptor with a truncated extracellular domain expressed in glioblastomas with EGFR gene amplification. | 196 |
| 13 | 469 | |
| 14 | Genes for epidermal growth factor receptor, transforming growth factor alpha, and epidermal growth factor and their expression in human gliomas in vivo.breakdown → | 519 |
| 15 | 475 | |
| 16 | 9 |
About A. Jonas Ekstrand
A. Jonas Ekstrand is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Oncology, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), HER2/EGFR in Cancer Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Genetics (634 citations), Endocrine and Autonomic Systems (233 citations) and Oncology (795 citations). A. Jonas Ekstrand has collaborated with scholars based in Sweden, United States and Belgium. Frequent co-authors include C. David James, V. Peter Collins, Noriaki Sugawa, V. Peter Collins, Webster K. Cavenee, Barbara Seliger, Ralf F. Pettersson, Hessameh Hassani, Lu Liu and Hamid Madanchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of neurosurgery.
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.