Pekka A. Postila

40 total papers · 762 total citations
32 papers, 627 citations indexed

About

Pekka A. Postila is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Pekka A. Postila has authored 32 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Computational Theory and Mathematics. Recurrent topics in Pekka A. Postila's work include Neuroscience and Neuropharmacology Research (10 papers), Computational Drug Discovery Methods (9 papers) and Protein Structure and Dynamics (8 papers). Pekka A. Postila is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Computational Drug Discovery Methods (9 papers) and Protein Structure and Dynamics (8 papers). Pekka A. Postila collaborates with scholars based in Finland, United States and Poland. Pekka A. Postila's co-authors include Tomasz Róg, Olli T. Pentikäinen, Ilpo Vattulainen, Artur Osyczka, Marcin Sarewicz, Karol Kaszuba, Sanna Niinivehmas, Geoffrey T. Swanson, Oana Cramariuc and Makoto Sasaki and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biophysical Journal.

In The Last Decade

Pekka A. Postila

32 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Pekka A. Postila 441 153 103 96 58 32 627
Ryoichi Kataoka 426 1.0× 105 0.7× 79 0.8× 84 0.9× 50 0.9× 19 608
Michael C. Owen 430 1.0× 73 0.5× 70 0.7× 74 0.8× 72 1.2× 35 702
Willem Jespers 422 1.0× 91 0.6× 136 1.3× 72 0.8× 63 1.1× 43 602
Anne Marie Jørgensen 354 0.8× 135 0.9× 45 0.4× 90 0.9× 63 1.1× 21 596
Markus H. J. Seifert 542 1.2× 81 0.5× 202 2.0× 100 1.0× 92 1.6× 18 691
Hideki Tsujishita 584 1.3× 180 1.2× 78 0.8× 103 1.1× 62 1.1× 23 780
Nathalie Meurice 371 0.8× 49 0.3× 143 1.4× 107 1.1× 73 1.3× 36 707
João T. S. Coimbra 312 0.7× 51 0.3× 149 1.4× 93 1.0× 62 1.1× 33 628
Ariela Vergara‐Jaque 405 0.9× 58 0.4× 114 1.1× 100 1.0× 110 1.9× 40 729
Klaus Michelsen 511 1.2× 151 1.0× 49 0.5× 65 0.7× 41 0.7× 21 639

Countries citing papers authored by Pekka A. Postila

Since Specialization
Citations

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

Fields of papers citing papers by Pekka A. Postila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pekka A. Postila

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