Peter Zahradka

253 total papers · 5.0k total citations
182 papers, 4.0k citations indexed

About

Peter Zahradka is a scholar working on Molecular Biology, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Peter Zahradka has authored 182 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 62 papers in Nutrition and Dietetics and 42 papers in Physiology. Recurrent topics in Peter Zahradka's work include Fatty Acid Research and Health (46 papers), Adipose Tissue and Metabolism (26 papers) and Eicosanoids and Hypertension Pharmacology (20 papers). Peter Zahradka is often cited by papers focused on Fatty Acid Research and Health (46 papers), Adipose Tissue and Metabolism (26 papers) and Eicosanoids and Hypertension Pharmacology (20 papers). Peter Zahradka collaborates with scholars based in Canada, United States and Japan. Peter Zahradka's co-authors include Carla G. Taylor, K. Ebisuzaki, Harold M. Aukema, Laura Saward, Jaime L. Clark, Dawn E. Larson, Jennifer Enns, Vanessa DeClercq, Michael C. Moon and Tanja Winter and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Journal of Agricultural and Food Chemistry.

In The Last Decade

Peter Zahradka

177 papers receiving 3.9k citations

Author Peers

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

Author Last Decade Papers Cites
Peter Zahradka 1.6k 908 817 588 481 182 4.0k
Masakazu Shinohara 2.2k 1.4× 746 0.8× 654 0.8× 527 0.9× 343 0.7× 170 4.8k
Gilles Nalbone 1.2k 0.7× 651 0.7× 508 0.6× 328 0.6× 331 0.7× 96 3.1k
A. Dembińska-Kieć 1.7k 1.0× 629 0.7× 1.4k 1.7× 756 1.3× 634 1.3× 220 5.8k
Gianna Ferretti 1.1k 0.7× 948 1.0× 491 0.6× 412 0.7× 735 1.5× 155 5.6k
Miguel A. Lasunción 2.1k 1.3× 700 0.8× 697 0.9× 518 0.9× 1.0k 2.1× 165 6.0k
Hajime Otani 2.7k 1.7× 660 0.7× 1.0k 1.3× 1.2k 2.0× 568 1.2× 224 6.3k
Issei Tanaka 1.8k 1.1× 501 0.6× 890 1.1× 1.7k 2.9× 536 1.1× 119 5.7k
Toshiaki Tamaki 1.8k 1.1× 384 0.4× 1.2k 1.5× 1.0k 1.7× 741 1.5× 201 5.0k
Masao Kaneki 2.6k 1.6× 578 0.6× 1.5k 1.8× 340 0.6× 396 0.8× 113 5.8k
Zhanxiang Zhou 2.1k 1.3× 1.2k 1.3× 785 1.0× 479 0.8× 606 1.3× 105 5.9k

Countries citing papers authored by Peter Zahradka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Zahradka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Zahradka. 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 Peter Zahradka. The network helps show where Peter Zahradka may publish in the future.

Co-authorship network of co-authors of Peter Zahradka

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