Eva Perdahl
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Neuropeptides and Animal Physiology
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Machine Learning in Bioinformatics 1
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Bengt Winblad (7 shared papers)Rolf Adolfsson (2 shared papers)Irina Alafuzoff (2 shared papers)John Hardy (1 shared paper)Jan Marcusson (1 shared paper)Per Nyberg (1 shared paper)Per Wester (1 shared paper)Gösta Bucht (1 shared paper)
- Journals
- Drug and Alcohol Dependence (3 papers)Pharmacology Biochemistry and Behavior (1 paper)Journal of Neural Transmission (1 paper)Neurochemistry International (1 paper)PubMed (1 paper)
- Partner nations
- SwedenUnited States
In The Last Decade
Eva Perdahl
7 papers receiving 443 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 256
- Pharmacology 119
- Biological Psychiatry 15
- Cognitive Neuroscience 109
- Physiology 142
Countries citing papers authored by Eva Perdahl
This map shows the geographic impact of Eva Perdahl'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 Eva Perdahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Perdahl more than expected).
Fields of papers citing papers by Eva Perdahl
This network shows the impact of papers produced by Eva Perdahl. 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 Eva Perdahl. The network helps show where Eva Perdahl may publish in the future.
Co-authors
The 17 scholars most cited alongside Eva Perdahl, 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 | 1985 | 258 | |
| 2 | 1984 | 58 | |
| 3 | 1983 | 42 | |
| 4 | 1983 | 35 | |
| 5 | 1982 | 35 | |
| 6 | 1983 | 22 | |
| 7 | Protein III, a neuron-specific phosphoprotein: variant forms found in human brain. | 1985 | 11 |
About Eva Perdahl
Eva Perdahl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Pharmacology, having authored 7 papers that have together received 461 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Biochemical effects in animals (2 papers), Machine Learning in Bioinformatics (1 paper), Alzheimer's disease research and treatments (1 paper), Alcohol Consumption and Health Effects (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (256 citations), Pharmacology (119 citations), Biological Psychiatry (15 citations), Cognitive Neuroscience (109 citations) and Physiology (142 citations). Eva Perdahl has collaborated with scholars based in Sweden and United States. Frequent co-authors include Bengt Winblad, Rolf Adolfsson, Irina Alafuzoff, John Hardy, Jan Marcusson, Per Nyberg, Per Wester, Gösta Bucht, Agneta Nordberg and Birgitta Sjöquist. Their work appears in journals such as Drug and Alcohol Dependence, Pharmacology Biochemistry and Behavior, Journal of Neural Transmission, Neurochemistry International and PubMed.
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.