P.A. Schött

26 total papers · 954 total citations
17 papers, 822 citations indexed

About

P.A. Schött is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, P.A. Schött has authored 17 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in P.A. Schött's work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (9 papers) and Neuroscience and Neuropharmacology Research (4 papers). P.A. Schött is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (9 papers) and Neuroscience and Neuropharmacology Research (4 papers). P.A. Schött collaborates with scholars based in Sweden, Japan and Italy. P.A. Schött's co-authors include Sven Ove Ögren, Johan Sandin, Jeanette Georgieva, Lars Terenius, Börje Bjelke, Ján Kehr, Takashi Yoshitake, Ilga Misane, Tomas Hökfelt and I Nylander and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

P.A. Schött

16 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
P.A. Schött 642 502 157 130 107 17 822
X Zhang 763 1.2× 409 0.8× 347 2.2× 130 1.0× 71 0.7× 15 979
Linda Naes 671 1.0× 462 0.9× 180 1.1× 185 1.4× 50 0.5× 21 875
Elaine Brown 509 0.8× 451 0.9× 90 0.6× 51 0.4× 118 1.1× 16 897
Guillermo Jaim-Etcheverry 432 0.7× 276 0.5× 136 0.9× 60 0.5× 89 0.8× 31 741
Sarah C. Harney 435 0.7× 309 0.6× 143 0.9× 161 1.2× 130 1.2× 13 961
A. Ableitner 656 1.0× 366 0.7× 402 2.6× 85 0.7× 130 1.2× 14 918
Leslie Brandeis 763 1.2× 378 0.8× 188 1.2× 50 0.4× 80 0.7× 15 1.1k
E. Doucet 617 1.0× 478 1.0× 81 0.5× 37 0.3× 95 0.9× 19 921
E. Giladi 517 0.8× 538 1.1× 171 1.1× 54 0.4× 90 0.8× 17 1.0k
Guo‐Du Wang 364 0.6× 227 0.5× 323 2.1× 104 0.8× 114 1.1× 30 797

Countries citing papers authored by P.A. Schött

Since Specialization
Citations

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

Fields of papers citing papers by P.A. Schött

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.A. Schött. 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 P.A. Schött. The network helps show where P.A. Schött may publish in the future.

Co-authorship network of co-authors of P.A. Schött

This figure shows the co-authorship network connecting the top 25 collaborators of P.A. Schött. A scholar is included among the top collaborators of P.A. Schött 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 P.A. Schött. P.A. Schött 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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2026