Peter Jackuliak

667 total citations
53 papers, 448 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 53 papers receiving a total of 448 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, T. Köller 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 431 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Jackuliak Slovakia 10 200 133 131 93 80 53 448
Sanchita Agarwal United States 13 334 1.7× 93 0.7× 143 1.1× 159 1.7× 74 0.9× 42 561
Maria Carola Zillikens Netherlands 4 298 1.5× 58 0.4× 139 1.1× 137 1.5× 44 0.6× 5 396
Monica Nuzzo Italy 6 80 0.4× 235 1.8× 63 0.5× 53 0.6× 83 1.0× 8 414
P. Geusens Belgium 12 284 1.4× 55 0.4× 132 1.0× 123 1.3× 71 0.9× 34 509
R. Chapurlat France 8 366 1.8× 34 0.3× 123 0.9× 139 1.5× 70 0.9× 23 531
Ayesha Siddiqi United Kingdom 6 55 0.3× 188 1.4× 81 0.6× 107 1.2× 29 0.4× 9 361
L Salamone United States 6 356 1.8× 63 0.5× 64 0.5× 71 0.8× 88 1.1× 10 470
Sabashini K. Ramchand Australia 11 155 0.8× 25 0.2× 101 0.8× 174 1.9× 20 0.3× 28 347
Jordan L. Geller United States 7 54 0.3× 43 0.3× 43 0.3× 74 0.8× 87 1.1× 12 293
C. Pondrelli Italy 9 360 1.8× 22 0.2× 125 1.0× 177 1.9× 42 0.5× 14 459

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

20 of 20 papers shown
1.
Kužma, Martin, et al.. (2025). Use of 3D-DXA in the assessment of bone structure among patients with chronic kidney disease. Frontiers in Medicine. 12. 1471418–1471418. 1 indexed citations
2.
Varga, Ivan, et al.. (2025). Accessory Spleen: An Anatomical Variation or Developmental Defect? Surgical, Anatomical and Embryological Perspectives. Bratislavské lekárske listy/Bratislava medical journal. 126(1). 6–13.
3.
Kováč, Peter, et al.. (2024). Artificial Intelligence-Driven Facial Image Analysis for the Early Detection of Rare Diseases: Legal, Ethical, Forensic, and Cybersecurity Considerations. SHILAP Revista de lepidopterología. 5(3). 990–1010. 16 indexed citations
4.
Gažová, Andrea, Martin Kužma, Ján Kyselovič, et al.. (2024). Comparison of Causes of Mortality Between Hospitalized Unsheltered Homeless Patients and Non-Homeless Sex and Age-Matched Controls: A Retrospective Case-Control Study. International Journal of Public Health. 69. 1607642–1607642.
5.
6.
Jackuliak, Peter, et al.. (2023). Risk of bleeding after ground-level falls in elderly patients with atrial fibrillation and warfarin therapy. Bratislavské lekárske listy/Bratislava medical journal. 124(2). 128–132.
7.
8.
Kužma, Martin, Martin Jankovský, Andrea Gažová, et al.. (2022). Patients with COVID-19 pneumonia with 25(OH)D levels lower than 12 ng/ml are at increased risk of death. International Journal of Infectious Diseases. 116. 313–318. 7 indexed citations
9.
Kužma, Martin, et al.. (2021). Application of surgical mask with high-flow nasal cannula (HFNC) leads to improved oxygenation in patients with COVID-19: a set of case reports. Vnitřní lékařství. 67(2). e29–e33. 1 indexed citations
10.
Killinger, Zdenko, et al.. (2021). Prediction of Vertebral Fractures by Trabecular Bone Score in Patients With Ankylosing Spondylitis. Physiological Research. 70(Suppl 1). S53–S60. 2 indexed citations
11.
Žilinská, Zuzana, Andrea Gažová, Martin Kužma, et al.. (2021). 3D Echocardiography – A Useful Method for Cardiovascular Risk Assessment in End-Stage Renal Disease Patients. Physiological Research. 70(Suppl 1). S109–S120. 1 indexed citations
12.
Vaňuga, Peter, et al.. (2021). The Long-Term Effects of Growth Hormone Replacement on Bone Mineral Density and Trabecular Bone Score: Results of the 10-Year Prospective Follow-up. Physiological Research. 70(Suppl 1). S61–S68. 9 indexed citations
13.
Kužma, Martin, et al.. (2021). Treatment With Cholecalciferol Leads to Increase Of Selected Semen Parameters in Young Infertile Males: Results of a 6-month Interventional Study. Physiological Research. 70(Suppl 1). S99–S107. 3 indexed citations
14.
Kužma, Martin, Andrea Gažová, Peter Jackuliak, et al.. (2021). Fibroblast Growth Factor 23 and Klotho Are Associated With Trabecular Bone Score but Not Bone Mineral Density in the Early Stages of Chronic Kidney Disease: Results of the Cross-Sectional Study. Physiological Research. 70(Suppl 1). S43–S51. 7 indexed citations
15.
Kužma, Martin, et al.. (2020). Vitamin D supplementation as an important factor in COVID-19 prevention and treatment: what evidence do we have?. Vnitřní lékařství. 66(8). 494–500. 2 indexed citations
16.
Kužma, Martin, Didier Hans, T. Köller, et al.. (2017). Less strict intervention thresholds for the FRAX and TBS-adjusted FRAX predict clinical fractures in osteopenic postmenopausal women with no prior fractures. Journal of Bone and Mineral Metabolism. 36(5). 580–588. 8 indexed citations
17.
Ivergård, M, A Svedbom, E Hernlund, et al.. (2013). Epidemiology and Economic Burden of Osteoporosis in Slovakia. Archives of Osteoporosis. 8.
18.
Pura, M, et al.. (2011). Mixed gonadal dysgenesis: whole life follow-up of a rare case. Endocrine Regulations. 45(4). 205–207. 1 indexed citations
19.
Payer, Juraj, et al.. (2010). The level of TSH appeared favourable in maintaining bone mineral density in postmenopausal women. Endocrine Regulations. 44(1). 9–15. 19 indexed citations
20.
Payer, Juraj, et al.. (2010). [Obesity and a risk of carcinoma].. PubMed. 56(10). 1082–7. 4 indexed citations

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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