Carmel Silke

456 total citations
24 papers, 334 citations indexed

About

Carmel Silke is a scholar working on Orthopedics and Sports Medicine, Surgery and Rheumatology. According to data from OpenAlex, Carmel Silke has authored 24 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Orthopedics and Sports Medicine, 13 papers in Surgery and 6 papers in Rheumatology. Recurrent topics in Carmel Silke's work include Bone health and osteoporosis research (14 papers), Hip and Femur Fractures (11 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). Carmel Silke is often cited by papers focused on Bone health and osteoporosis research (14 papers), Hip and Femur Fractures (11 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). Carmel Silke collaborates with scholars based in Ireland, United Kingdom and China. Carmel Silke's co-authors include Bryan Whelan, Bernie McGowan, Kathleen Bennett, Andrew W. Murphy, Alan Hanley, Miriam O’Sullivan, John Carey, Malachi J. McKenna, Wing P. Chan and Michael Kelly and has published in prestigious journals such as Annals of the Rheumatic Diseases, Bone and Osteoporosis International.

In The Last Decade

Carmel Silke

21 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmel Silke Ireland 12 142 134 62 38 37 24 334
C. Klop Netherlands 12 242 1.7× 281 2.1× 52 0.8× 69 1.8× 49 1.3× 19 493
Sarah Leyland United Kingdom 7 279 2.0× 139 1.0× 16 0.3× 77 2.0× 91 2.5× 11 467
G A Wells Canada 8 58 0.4× 86 0.6× 244 3.9× 38 1.0× 27 0.7× 9 494
Rosilene M. Elias Brazil 13 51 0.4× 39 0.3× 30 0.5× 51 1.3× 49 1.3× 26 437
T Steinle Germany 5 166 1.2× 134 1.0× 25 0.4× 113 3.0× 44 1.2× 9 408
A. Torrijos Spain 11 285 2.0× 65 0.5× 24 0.4× 143 3.8× 67 1.8× 17 453
Akeem Yusuf United States 10 99 0.7× 87 0.6× 5 0.1× 57 1.5× 32 0.9× 34 362
Niina Koivuviita Finland 12 30 0.2× 50 0.4× 12 0.2× 35 0.9× 27 0.7× 31 312
C J H Ingoldby United Kingdom 13 65 0.5× 306 2.3× 14 0.2× 42 1.1× 45 1.2× 22 579
James P. Blackmur United Kingdom 10 18 0.1× 102 0.8× 15 0.2× 43 1.1× 37 1.0× 33 396

Countries citing papers authored by Carmel Silke

Since Specialization
Citations

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

Fields of papers citing papers by Carmel Silke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmel Silke

This figure shows the co-authorship network connecting the top 25 collaborators of Carmel Silke. A scholar is included among the top collaborators of Carmel Silke 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 Carmel Silke. Carmel Silke 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.
Brennan, Attracta, Bryan Whelan, Lan Yang, et al.. (2025). DXA and cardiovascular disease in rheumatoid arthritis: A scoping review. Journal of Clinical Densitometry. 28(2). 101582–101582.
2.
Carey, John, Tingyan Wang, Lan Yang, et al.. (2024). Modelling future bone mineral density: Simplicity or complexity?. Bone. 187. 117178–117178. 1 indexed citations
3.
4.
O’Sullivan, Miriam, et al.. (2023). An overview of the management of osteoporosis in the aging female population. Women s Health. 19. 902587343–902587343. 35 indexed citations
5.
Silke, Carmel, et al.. (2022). Osteoporotic fracture admissions compared to other major medical admissions in Irish public hospitals. Archives of Osteoporosis. 18(1). 12–12. 1 indexed citations
6.
Wang, Tingyan, Lan Yang, Mary Dempsey, et al.. (2021). Utility of Osteoporosis Self-Assessment Tool as a Screening Tool for Osteoporosis in Irish Men and Women: Results of the DXA-HIP Project. Journal of Clinical Densitometry. 24(4). 516–526. 8 indexed citations
7.
Wang, Tingyan, Lan Yang, Mary Dempsey, et al.. (2021). How does proximal femur BMD of healthy Irish adults compare to NHANES III? Results of the DXA-HIP Project. Archives of Osteoporosis. 16(1). 170–170. 4 indexed citations
8.
Wang, Tingyan, Lan Yang, Mary Dempsey, et al.. (2020). The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project. BMJ Open. 10(12). e040488–e040488. 11 indexed citations
9.
Wang, Tingyan, Lan Yang, Mary Dempsey, et al.. (2020). Machine Learning Can Improve Clinical Detection of Low BMD: The DXA-HIP Study. Journal of Clinical Densitometry. 24(4). 527–537. 26 indexed citations
10.
Harrington, Nancy Grant, et al.. (2020). FRI0029 EFFECTIVENESS OF A NURSE LED TREAT TO TARGET (T2T) MODEL IN ACHIEVING REMISSION FOR EARLY RHEUMATOID ARTHRITIS PATIENTS IN A REAL-WORLD SETTING. Annals of the Rheumatic Diseases. 79. 587–587. 1 indexed citations
11.
Kelly, Michael, Bernie McGowan, Malachi J. McKenna, et al.. (2018). Emerging trends in hospitalisation for fragility fractures in Ireland. Irish Journal of Medical Science (1971 -). 187(3). 601–608. 29 indexed citations
12.
Hiligsmann, Mickaël, Benedict G. C. Dellaert, Carmen D. Dirksen, et al.. (2017). Patients’ preferences for anti-osteoporosis drug treatment: a cross-European discrete choice experiment. Lara D. Veeken. 56(7). 1167–1176. 24 indexed citations
13.
McKenna, Malachi J., Fergus E. McKiernan, Bernie McGowan, et al.. (2017). Identifying Incomplete Atypical Femoral Fractures With Single-Energy Absorptiometry: Declining Prevalence. Journal of the Endocrine Society. 1(3). 211–220. 11 indexed citations
14.
Hiligsmann, Mickaël, Benedict G. C. Dellaert, Carmen D. Dirksen, et al.. (2014). Are Patients' Preferences Transferable Between Countries? A Cross-European Discrete-Choice Experiment to Elicit Patients' Preferences for Osteoporosis Drug Treatment. Value in Health. 17(7). A385–A385. 1 indexed citations
15.
McGowan, Bernie, Kathleen Bennett, Carmel Silke, & Bryan Whelan. (2014). Adherence and persistence to urate-lowering therapies in the Irish setting. Clinical Rheumatology. 35(3). 715–721. 38 indexed citations
16.
McGowan, Bernie, John А. Kanis, H Johansson, Carmel Silke, & Bryan Whelan. (2013). Development and application of FRAX in the management of osteoporosis in Ireland. Archives of Osteoporosis. 8(1-2). 146–146. 12 indexed citations
17.
18.
McGowan, Bernie, et al.. (2012). Hospitalisations for fracture and associated costs between 2000 and 2009 in Ireland: a trend analysis. Osteoporosis International. 24(3). 849–857. 30 indexed citations
19.
Hanley, Alan, Carmel Silke, & Andrew W. Murphy. (2010). Community-based health efforts for the prevention of falls in the elderly. Clinical Interventions in Aging. 6. 19–19. 44 indexed citations
20.
Adams, Claire, Helen Mulcahy, Catherine B. Molloy, et al.. (2008). High levels of Lymphotoxin-Beta (LT-Beta) gene expression in rheumatoid arthritis synovium: clinical and cytokine correlations. Rheumatology International. 28(10). 979–986. 35 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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