Esa-Pekka Pälvimäki

15 total papers · 524 total citations
12 papers, 439 citations indexed

About

Esa-Pekka Pälvimäki is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Esa-Pekka Pälvimäki has authored 12 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Esa-Pekka Pälvimäki's work include Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (7 papers) and Treatment of Major Depression (3 papers). Esa-Pekka Pälvimäki is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (7 papers) and Treatment of Major Depression (3 papers). Esa-Pekka Pälvimäki collaborates with scholars based in Finland and United States. Esa-Pekka Pälvimäki's co-authors include Erkka Syvälahti, Jarmo Hietala, Mikko Kuoppamäki, Aki Laakso, B Roth, Naseem Khan, Nancy A. Sachs, Ahmet Uluer, Bryan L. Roth and M S Choudhary and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Esa-Pekka Pälvimäki

12 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
Esa-Pekka Pälvimäki 295 198 78 66 39 12 439
Lloyd Kg 313 1.1× 147 0.7× 67 0.9× 62 0.9× 50 1.3× 20 418
Yaw Senyah 372 1.3× 199 1.0× 70 0.9× 65 1.0× 29 0.7× 7 459
Patricia M. Whitaker 317 1.1× 197 1.0× 59 0.8× 127 1.9× 42 1.1× 12 484
Charles E. Rauh 247 0.8× 176 0.9× 77 1.0× 113 1.7× 26 0.7× 20 397
M.B. Assié 281 1.0× 170 0.9× 115 1.5× 104 1.6× 36 0.9× 16 453
Elisabeth Carilla-Durand 278 0.9× 185 0.9× 61 0.8× 81 1.2× 33 0.8× 10 456
Makoto Daiguji 153 0.5× 129 0.7× 48 0.6× 72 1.1× 48 1.2× 13 385
Daniel Dlaboga 186 0.6× 278 1.4× 154 2.0× 44 0.7× 47 1.2× 16 461
Taiichiro Imanishi 207 0.7× 167 0.8× 129 1.7× 46 0.7× 38 1.0× 17 421
Lucy Rényi 290 1.0× 170 0.9× 42 0.5× 72 1.1× 18 0.5× 13 425

Countries citing papers authored by Esa-Pekka Pälvimäki

Since Specialization
Citations

This map shows the geographic impact of Esa-Pekka Pälvimäki'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 Esa-Pekka Pälvimäki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esa-Pekka Pälvimäki more than expected).

Fields of papers citing papers by Esa-Pekka Pälvimäki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esa-Pekka Pälvimäki. 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 Esa-Pekka Pälvimäki. The network helps show where Esa-Pekka Pälvimäki may publish in the future.

Co-authorship network of co-authors of Esa-Pekka Pälvimäki

This figure shows the co-authorship network connecting the top 25 collaborators of Esa-Pekka Pälvimäki. A scholar is included among the top collaborators of Esa-Pekka Pälvimäki 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 Esa-Pekka Pälvimäki. Esa-Pekka Pälvimäki 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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