Pavla Postlerová

63 total papers · 999 total citations
47 papers, 677 citations indexed

About

Pavla Postlerová is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Pavla Postlerová has authored 47 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Reproductive Medicine, 20 papers in Public Health, Environmental and Occupational Health and 18 papers in Molecular Biology. Recurrent topics in Pavla Postlerová's work include Sperm and Testicular Function (33 papers), Reproductive Biology and Fertility (19 papers) and Cell Adhesion Molecules Research (5 papers). Pavla Postlerová is often cited by papers focused on Sperm and Testicular Function (33 papers), Reproductive Biology and Fertility (19 papers) and Cell Adhesion Molecules Research (5 papers). Pavla Postlerová collaborates with scholars based in Czechia, United States and Slovakia. Pavla Postlerová's co-authors include Věra Jonáková, Michal Zigo, Kateřina Komrsková, Peter Šutovský, Shu‐Huei Kao, Yung‐Feng Lin, Chii‐Ruey Tzeng, Miroslav Šulc, Karl Kerns and Jana Pěknicová and has published in prestigious journals such as Scientific Reports, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Pavla Postlerová

44 papers receiving 669 citations

Author Peers

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

Author Last Decade Papers Cites
Pavla Postlerová 413 297 227 136 86 47 677
Khaliq Ahmad 420 1.0× 378 1.3× 127 0.6× 102 0.8× 51 0.6× 27 589
Virginie Barraud‐Lange 517 1.3× 484 1.6× 240 1.1× 87 0.6× 22 0.3× 28 788
Tsuneatsu Mori 247 0.6× 217 0.7× 291 1.3× 121 0.9× 36 0.4× 44 591
John A. McCoshen 191 0.5× 227 0.8× 181 0.8× 133 1.0× 17 0.2× 37 680
Lukáš Děd 242 0.6× 183 0.6× 143 0.6× 81 0.6× 28 0.3× 26 556
Augustine T. Peter 259 0.6× 283 1.0× 148 0.7× 104 0.8× 53 0.6× 24 569
María José Munuce 457 1.1× 452 1.5× 94 0.4× 45 0.3× 27 0.3× 37 646
Laura Ramió‐Lluch 392 0.9× 355 1.2× 96 0.4× 86 0.6× 63 0.7× 29 595
Sophie Fouchécourt 389 0.9× 220 0.7× 311 1.4× 176 1.3× 27 0.3× 30 768
Kayoko Dohmae 360 0.9× 317 1.1× 237 1.0× 194 1.4× 17 0.2× 24 768

Countries citing papers authored by Pavla Postlerová

Since Specialization
Citations

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

Fields of papers citing papers by Pavla Postlerová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavla Postlerová

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