Zdenko Killinger

826 total citations
68 papers, 601 citations indexed

About

Zdenko Killinger is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Zdenko Killinger has authored 68 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Orthopedics and Sports Medicine, 20 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Molecular Biology. Recurrent topics in Zdenko Killinger's work include Bone health and osteoporosis research (23 papers), Growth Hormone and Insulin-like Growth Factors (13 papers) and Bone health and treatments (12 papers). Zdenko Killinger is often cited by papers focused on Bone health and osteoporosis research (23 papers), Growth Hormone and Insulin-like Growth Factors (13 papers) and Bone health and treatments (12 papers). Zdenko Killinger collaborates with scholars based in Slovakia, Czechia and United States. Zdenko Killinger's co-authors include Juraj Payer, Martin Kužma, Peter Jackuliak, Juraj Payer, Peter Vaňuga, Neil Binkley, Jozef Rovenský, Ivica Lazúrová, T. Köller and Richard Imrich 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

Zdenko Killinger

67 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zdenko Killinger Slovakia 16 238 218 124 117 98 68 601
Mariela Varsavsky Spain 11 82 0.3× 136 0.6× 91 0.7× 77 0.7× 129 1.3× 40 379
T.V. Nguyen Australia 9 98 0.4× 436 2.0× 147 1.2× 227 1.9× 173 1.8× 12 717
Mette Friberg Hitz Denmark 13 89 0.4× 132 0.6× 69 0.6× 79 0.7× 126 1.3× 30 426
Judith Clearwater New Zealand 8 103 0.4× 283 1.3× 88 0.7× 166 1.4× 103 1.1× 9 635
S. A. Steel United Kingdom 15 64 0.3× 290 1.3× 78 0.6× 100 0.9× 97 1.0× 29 530
Filippo Maffezzoni Italy 21 795 3.3× 237 1.1× 200 1.6× 183 1.6× 156 1.6× 43 1.2k
Marco Janner Switzerland 11 150 0.6× 171 0.8× 223 1.8× 97 0.8× 230 2.3× 34 665
Selçuk Dağdelen Türkiye 14 431 1.8× 48 0.2× 137 1.1× 56 0.5× 104 1.1× 82 738
Berta Soldevila Spain 16 285 1.2× 72 0.3× 109 0.9× 37 0.3× 67 0.7× 44 587
Jun‐Yen Yeh United States 7 133 0.6× 100 0.5× 113 0.9× 27 0.2× 125 1.3× 8 452

Countries citing papers authored by Zdenko Killinger

Since Specialization
Citations

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

Fields of papers citing papers by Zdenko Killinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zdenko Killinger

This figure shows the co-authorship network connecting the top 25 collaborators of Zdenko Killinger. A scholar is included among the top collaborators of Zdenko Killinger 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 Zdenko Killinger. Zdenko Killinger 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.
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
3.
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
4.
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
5.
Killinger, Zdenko, et al.. (2020). Microscopic polyangiitis. Vnitřní lékařství. 66(4). 249–252. 1 indexed citations
6.
Cvečka, Ján, Barbara Ukropcová, Jozef Ukropec, et al.. (2019). Strength training as a supplemental therapy for androgen deficiency of the aging male (ADAM): study protocol for a three-arm clinical trial. BMJ Open. 9(9). e025991–e025991. 2 indexed citations
7.
8.
Čierný, Daniel, et al.. (2018). Weber-Christian disease: a case report. Vnitřní lékařství. 64(10). 961–965. 2 indexed citations
9.
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
10.
Kužma, Martin, et al.. (2016). Cross-sectional area of the median nerve is increased in primary autoimmune hypothyroidism and decreases upon treatment with thyroxine. European Journal of Endocrinology. 175(4). 265–271. 8 indexed citations
11.
Hlavatý, Tibor, Zdenko Killinger, Daniel Čierný, et al.. (2014). Combination therapy with an immunomodulator and anti-TNFα agent improves bone mineral density in IBD patients. Journal of Crohn s and Colitis. 8(12). 1693–1701. 21 indexed citations
12.
Vlček, Miroslav, et al.. (2014). Genetics of Neuroendocrine Factors in Rheumatoid Arthritis. Hormone and Metabolic Research. 47(6). 411–417. 4 indexed citations
13.
Kužma, Martin, Zuzana Zelinková, Zdenko Killinger, et al.. (2013). Impact of the growth hormone replacement on bone status in growth hormone deficient adults. Growth Hormone & IGF Research. 24(1). 22–28. 36 indexed citations
14.
Köller, T., et al.. (2012). Vitamin D deficiency – a possible link between osteoporosis and metabolic syndrome. Bratislavské lekárske listy/Bratislava medical journal. 113(7). 412–416. 7 indexed citations
15.
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
16.
Killinger, Zdenko, Juraj Payer, Ivica Lazúrová, et al.. (2010). Arthropathy in Acromegaly. Rheumatic Disease Clinics of North America. 36(4). 713–720. 31 indexed citations
17.
Borovský, Miroslav, et al.. (2009). Oral contraception usage in relation to bone mineral density and bone turnover in adolescent girls. The European Journal of Contraception & Reproductive Health Care. 14(3). 207–214. 25 indexed citations
18.
Vaňuga, Peter, et al.. (2009). Vitamin D levels in young healtly premenopausal females in Slovakia. 20(49). e2402799–e2402799. 1 indexed citations
19.
Payer, Juraj, et al.. (2007). Therapeutic adherence to bisphosphonates. Biomedicine & Pharmacotherapy. 61(4). 191–193. 6 indexed citations
20.
Imrich, Richard, Jozef Rovenský, Zdenko Killinger, et al.. (2005). Low levels of dehydroepiandrosterone sulphate in plasma, and reduced sympathoadrenal response to hypoglycaemia in premenopausal women with rheumatoid arthritis. Annals of the Rheumatic Diseases. 64(2). 202–206. 38 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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