Sven Påhlman
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Neurology top 0.2%
- Oncology top 1%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- T. EsscherCaroline WigerupHåkan AxelsonAnnika JögiDaniel BexellErik FredlundLinda Holmquist MengelbierKenneth Nilsson
- Topics
- Neuroblastoma Research and Treatments (97 papers)Cancer, Hypoxia, and Metabolism (69 papers)Ubiquitin and proteasome pathways (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- SwedenUnited StatesSpain
In The Last Decade
Sven Påhlman
171 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 6.5k
- Cancer Research 3.9k
- Neurology 3.3k
- Oncology 1.9k
- Cellular and Molecular Neuroscience 1.0k
Countries citing papers authored by Sven Påhlman
This map shows the geographic impact of Sven Påhlman'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 Sven Påhlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Påhlman more than expected).
Fields of papers citing papers by Sven Påhlman
This network shows the impact of papers produced by Sven Påhlman. 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 Sven Påhlman. The network helps show where Sven Påhlman may publish in the future.
Co-authorship network of co-authors of Sven Påhlman
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Påhlman. A scholar is included among the top collaborators of Sven Påhlman 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 Sven Påhlman. Sven Påhlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 8 | |
| 3 | 44 | |
| 4 | 11 | |
| 5 | 24 | |
| 6 | Therapeutic targeting of hypoxia and hypoxia-inducible factors in cancerbreakdown → | 546 |
| 7 | 76 | |
| 8 | 40 | |
| 9 | 22 | |
| 10 | 19 | |
| 11 | 50 | |
| 12 | 21 | |
| 13 | 64 | |
| 14 | 111 | |
| 15 | 23 | |
| 16 | 111 | |
| 17 | 18 | |
| 18 | In vivo spontaneous neuronal to neuroendocrine lineage conversion in a subset of neuroblastomas. | 37 |
| 19 | 30 | |
| 20 | Neuron-specific enolase expression and neuroendocrine differentiation in carcinomas of the breast. | 5 |
About Sven Påhlman
Sven Påhlman is a scholar working on Neurology, Cancer Research and Molecular Biology, having authored 171 papers that have together received 10.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (97 papers), Cancer, Hypoxia, and Metabolism (69 papers) and Ubiquitin and proteasome pathways (13 papers). The work is most often cited by research in Cancer Research (3.9k citations), Neurology (3.3k citations) and Molecular Biology (6.5k citations). Sven Påhlman has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include T. Esscher, Caroline Wigerup, Håkan Axelson, Annika Jögi, Daniel Bexell, Erik Fredlund, Linda Holmquist Mengelbier, Kenneth Nilsson, Lorenz Poellinger and Maria Mattsson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.