Pekka A. Postila
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Materials Chemistry
- Co-authors
- Tomasz RógOlli T. PentikäinenIlpo VattulainenArtur OsyczkaMarcin SarewiczSanna NiinivehmasKarol KaszubaGeoffrey T. Swanson
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (8 papers)
- Journals
- Journal of Biological ChemistryScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- FinlandUnited StatesPoland
In The Last Decade
Pekka A. Postila
32 papers receiving 624 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 441
- Cellular and Molecular Neuroscience 154
- Computational Theory and Mathematics 103
- Organic Chemistry 96
- Materials Chemistry 58
Countries citing papers authored by Pekka A. Postila
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 67 | |
| 8 | 21 | |
| 9 | 17 | |
| 10 | 43 | |
| 11 | 17 | |
| 12 | 44 | |
| 13 | 21 | |
| 14 | 11 | |
| 15 | 37 | |
| 16 | 1 | |
| 17 | 48 | |
| 18 | 48 | |
| 19 | 15 | |
| 20 | 30 |
About Pekka A. Postila
Pekka A. Postila is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Computational Theory and Mathematics, having authored 32 papers that have together received 629 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Computational Drug Discovery Methods (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (154 citations), Computational Theory and Mathematics (103 citations) and Toxicology (22 citations). Pekka A. Postila has collaborated with scholars based in Finland, United States and Poland. Frequent co-authors include Tomasz Róg, Olli T. Pentikäinen, Ilpo Vattulainen, Artur Osyczka, Marcin Sarewicz, Sanna Niinivehmas, Karol Kaszuba, Geoffrey T. Swanson, Ryuichi Sakai and Oana Cramariuc. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.
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.