Eva Perdahl

9 total papers · 564 total citations
7 papers, 461 citations indexed

About

Eva Perdahl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Eva Perdahl has authored 7 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Eva Perdahl's work include Neuroscience and Neuropharmacology Research (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Eva Perdahl is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Eva Perdahl collaborates with scholars based in Sweden and United States. Eva Perdahl's co-authors include Bengt Winblad, Irina Alafuzoff, Rolf Adolfsson, Jan Marcusson, John Hardy, Gösta Bucht, Per Wester, Per Nyberg, Agneta Nordberg and Birgitta Sjöquist and has published in prestigious journals such as Drug and Alcohol Dependence, Pharmacology Biochemistry and Behavior and Journal of Neural Transmission.

In The Last Decade

Eva Perdahl

7 papers receiving 443 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eva Perdahl	256	167	142	119	109	7	461
J. Lynne Greenup	209 0.8×	144 0.9×	163 1.1×	54 0.5×	72 0.7×	7	497
Catherine H. Trepanier	290 1.1×	227 1.4×	138 1.0×	52 0.4×	68 0.6×	9	520
Julian Gray	212 0.8×	142 0.9×	90 0.6×	144 1.2×	93 0.9×	13	528
Arthur J. Schlosberg	280 1.1×	119 0.7×	105 0.7×	44 0.4×	58 0.5×	12	501
Steven D. Stockton	257 1.0×	189 1.1×	203 1.4×	63 0.5×	56 0.5×	15	516
U. Rüb	215 0.8×	144 0.9×	196 1.4×	71 0.6×	83 0.8×	9	474
Åsa Wiberg	219 0.9×	95 0.6×	114 0.8×	140 1.2×	70 0.6×	6	511
David S. Tukey	247 1.0×	117 0.7×	253 1.8×	93 0.8×	67 0.6×	8	503
Abigail Mariga	176 0.7×	208 1.2×	92 0.6×	84 0.7×	44 0.4×	8	464
Cristina Martins-Silva	200 0.8×	158 0.9×	135 1.0×	80 0.7×	58 0.5×	22	512

Countries citing papers authored by Eva Perdahl

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eva Perdahl

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Perdahl. A scholar is included among the top collaborators of Eva Perdahl 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 Eva Perdahl. Eva Perdahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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