Juraj Payer

525 total papers · 2.9k total citations
132 papers, 1.9k citations indexed

About

Juraj Payer is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Juraj Payer has authored 132 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Orthopedics and Sports Medicine, 26 papers in Molecular Biology and 25 papers in Oncology. Recurrent topics in Juraj Payer's work include Bone health and osteoporosis research (30 papers), Bone health and treatments (21 papers) and Bone Metabolism and Diseases (18 papers). Juraj Payer is often cited by papers focused on Bone health and osteoporosis research (30 papers), Bone health and treatments (21 papers) and Bone Metabolism and Diseases (18 papers). Juraj Payer collaborates with scholars based in Slovakia, Czechia and United States. Juraj Payer's co-authors include Jozef Rovenský, Peter Jackuliak, Zdenko Killinger, Martin Kužma, Tibor Hlavatý, T. Köller, M Huorka, Eugène McCloskey, István Takács and Stefan Pilz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Annals of the Rheumatic Diseases.

In The Last Decade

Juraj Payer

113 papers receiving 1.8k citations

Hit Papers

Health assessment questio... 2009 2026 2014 2020 2009 2022 2023 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Juraj Payer 475 426 343 310 289 132 1.9k
Michelle Denburg 257 0.5× 196 0.5× 394 1.1× 282 0.9× 252 0.9× 109 2.6k
Jin‐Su Choi 383 0.8× 318 0.7× 312 0.9× 564 1.8× 455 1.6× 111 2.8k
Gyula Poór 766 1.6× 563 1.3× 271 0.8× 458 1.5× 157 0.5× 97 2.2k
Sarah Morgan 496 1.0× 801 1.9× 338 1.0× 403 1.3× 548 1.9× 88 2.6k
Karen E. Hansen 421 0.9× 398 0.9× 486 1.4× 379 1.2× 148 0.5× 63 1.8k
Angelo Fassio 550 1.2× 498 1.2× 324 0.9× 163 0.5× 185 0.6× 112 1.8k
Inge M. van der Sluis 590 1.2× 157 0.4× 234 0.7× 258 0.8× 195 0.7× 104 3.1k
Charles Inderjeeth 496 1.0× 604 1.4× 420 1.2× 382 1.2× 201 0.7× 108 2.0k
R. Swaminathan 260 0.5× 176 0.4× 209 0.6× 317 1.0× 399 1.4× 94 2.4k
Sizheng Steven Zhao 229 0.5× 1.2k 2.8× 256 0.7× 208 0.7× 164 0.6× 159 2.5k

Countries citing papers authored by Juraj Payer

Since Specialization
Citations

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

Fields of papers citing papers by Juraj Payer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juraj Payer

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