Peter Jackuliak

83 total papers · 655 total citations
51 papers, 446 citations indexed

About

Peter Jackuliak is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peter Jackuliak has authored 51 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Orthopedics and Sports Medicine and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peter Jackuliak's work include Bone health and osteoporosis research (17 papers), Bone health and treatments (9 papers) and Bone Metabolism and Diseases (9 papers). Peter Jackuliak is often cited by papers focused on Bone health and osteoporosis research (17 papers), Bone health and treatments (9 papers) and Bone Metabolism and Diseases (9 papers). Peter Jackuliak collaborates with scholars based in Slovakia, United States and Czechia. Peter Jackuliak's co-authors include Juraj Payer, Martin Kužma, Zdenko Killinger, Peter Vaňuga, Neil Binkley, Renaud Winzenrieth, Juraj Payer, Harry K. Genant, Peter Langer and Daniel Čierný and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Peter Jackuliak

44 papers receiving 429 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 Jackuliak 200 132 131 93 80 51 446
Mariela Varsavsky 135 0.7× 82 0.6× 91 0.7× 129 1.4× 77 1.0× 40 378
E Lejeune 180 0.9× 85 0.6× 97 0.7× 108 1.2× 53 0.7× 40 450
Martin Kužma 118 0.6× 207 1.6× 94 0.7× 51 0.5× 82 1.0× 49 399
Mette Friberg Hitz 132 0.7× 89 0.7× 69 0.5× 127 1.4× 81 1.0× 30 425
Wanda Horst−Sikorska 206 1.0× 31 0.2× 113 0.9× 86 0.9× 143 1.8× 51 408
Vrinda Saraff 82 0.4× 107 0.8× 78 0.6× 48 0.5× 96 1.2× 39 485
Juraj Payer 60 0.3× 179 1.4× 99 0.8× 40 0.4× 40 0.5× 56 383
Leyre Riancho‐Zarrabeitia 57 0.3× 92 0.7× 62 0.5× 30 0.3× 50 0.6× 39 421
José Rafael Villafán-Bernal 61 0.3× 49 0.4× 79 0.6× 44 0.5× 30 0.4× 43 409
Adalbert Raimann 53 0.3× 55 0.4× 98 0.7× 98 1.1× 42 0.5× 50 397

Countries citing papers authored by Peter Jackuliak

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jackuliak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Jackuliak

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