Anne‐Lie Svensson
- Pharmacology top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Computational Theory and Mathematics top 5%
- Co-authors
- Agneta NordbergIrina AlafuzoffFred NybergMathias HallbergXiao ZhangMarie SvedbergNenad BogdanovićUlrika Warpman Berglund
- Topics
- Cholinesterase and Neurodegenerative Diseases (9 papers)Nicotinic Acetylcholine Receptors Study (8 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBrain Research
In The Last Decade
Anne‐Lie Svensson
16 papers receiving 680 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 389
- Molecular Biology 290
- Cellular and Molecular Neuroscience 181
- Physiology 169
- Computational Theory and Mathematics 108
Countries citing papers authored by Anne‐Lie Svensson
This map shows the geographic impact of Anne‐Lie Svensson'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 Anne‐Lie Svensson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Lie Svensson more than expected).
Fields of papers citing papers by Anne‐Lie Svensson
This network shows the impact of papers produced by Anne‐Lie Svensson. 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 Anne‐Lie Svensson. The network helps show where Anne‐Lie Svensson may publish in the future.
Co-authorship network of co-authors of Anne‐Lie Svensson
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Lie Svensson. A scholar is included among the top collaborators of Anne‐Lie Svensson 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 Anne‐Lie Svensson. Anne‐Lie Svensson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 67 | |
| 4 | 12 | |
| 5 | 14 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 28 | |
| 11 | 82 | |
| 12 | 308 | |
| 13 | 32 | |
| 14 | 32 | |
| 15 | 23 | |
| 16 | 52 |
About Anne‐Lie Svensson
Anne‐Lie Svensson is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 16 papers that have together received 708 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (9 papers), Nicotinic Acetylcholine Receptors Study (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Pharmacology (389 citations), Cellular and Molecular Neuroscience (181 citations) and Complementary and alternative medicine (72 citations). Anne‐Lie Svensson has collaborated with scholars based in Sweden, Denmark and Israel. Frequent co-authors include Agneta Nordberg, Irina Alafuzoff, Fred Nyberg, Mathias Hallberg, Xiao Zhang, Marie Svedberg, Nenad Bogdanović, Ulrika Warpman Berglund, Lars Lannfelt and Ewa Hellström‐Lindahl. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Brain 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.