Miriam O’Sullivan

425 total citations
17 papers, 167 citations indexed

About

Miriam O’Sullivan is a scholar working on Orthopedics and Sports Medicine, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Miriam O’Sullivan has authored 17 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Orthopedics and Sports Medicine, 7 papers in Surgery and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Miriam O’Sullivan's work include Bone health and osteoporosis research (8 papers), Hip and Femur Fractures (6 papers) and Systemic Lupus Erythematosus Research (3 papers). Miriam O’Sullivan is often cited by papers focused on Bone health and osteoporosis research (8 papers), Hip and Femur Fractures (6 papers) and Systemic Lupus Erythematosus Research (3 papers). Miriam O’Sullivan collaborates with scholars based in Ireland, United Kingdom and China. Miriam O’Sullivan's co-authors include Carmel Silke, Ian N Bruce, John Carey, Wing P. Chan, Tingyan Wang, Mary Dempsey, Gráinne O’Malley, Ming Yu, Lan Yang and Attracta Brennan and has published in prestigious journals such as Annals of the Rheumatic Diseases, Bone and BMJ Open.

In The Last Decade

Miriam O’Sullivan

15 papers receiving 163 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miriam O’Sullivan Ireland	9	63	47	44	41	24	17	167
Carlos Vaz Portugal	6	44 0.7×	34 0.7×	53 1.2×	33 0.8×	21 0.9×	18	187
S. Stojanović Serbia	9	31 0.5×	41 0.9×	27 0.6×	81 2.0×	28 1.2×	31	183
Yuanwei Zhang China	7	36 0.6×	40 0.9×	27 0.6×	18 0.4×	38 1.6×	11	197
Koji Funahashi Japan	13	17 0.3×	45 1.0×	79 1.8×	217 5.3×	19 0.8×	30	327
Évelyne Verrouil France	8	29 0.5×	20 0.4×	159 3.6×	232 5.7×	20 0.8×	16	343
I. Prevete Italy	7	12 0.2×	29 0.6×	20 0.5×	89 2.2×	6 0.3×	12	148
Jiyuan Huang China	4	163 2.6×	20 0.4×	76 1.7×	12 0.3×	119 5.0×	5	283
Marie-Hélène Guyot France	7	36 0.6×	18 0.4×	39 0.9×	98 2.4×	21 0.9×	9	159
Zhenxun Wang United States	9	117 1.9×	10 0.2×	37 0.8×	22 0.5×	82 3.4×	23	273

Countries citing papers authored by Miriam O’Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Miriam O’Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam O’Sullivan. 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 Miriam O’Sullivan. The network helps show where Miriam O’Sullivan may publish in the future.

Co-authorship network of co-authors of Miriam O’Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam O’Sullivan. A scholar is included among the top collaborators of Miriam O’Sullivan 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 Miriam O’Sullivan. Miriam O’Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Carey, John, Tingyan Wang, Lan Yang, et al.. (2024). Modelling future bone mineral density: Simplicity or complexity?. Bone. 187. 117178–117178. 1 indexed citations

Carey, John, Tingyan Wang, Lan Yang, et al.. (2023). Prevalence of Low Bone Mass and Osteoporosis in Ireland: the Dual‐Energy X‐Ray Absorptiometry (DXA) Health Informatics Prediction (HIP) Project. JBMR Plus. 7(10). e10798–e10798.

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

El-Sharkawi, Mohamed E., et al.. (2023). Role of Adipose Derived Stem Cells in Patients with Diabetic Foot Ulcers: Systematic Review and Meta-Analysis of Randomised Controlled Trials. The International Journal of Lower Extremity Wounds. 24(3). 542–549. 8 indexed citations

Carey, John, Tingyan Wang, Lan Yang, et al.. (2022). Conceptual design of the dual X-ray absorptiometry health informatics prediction system for osteoporosis care. Health Informatics Journal. 28(1). 1187551841–1187551841. 2 indexed citations

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

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

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

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.

El-Sharkawi, Mohamed E., et al.. (2020). Significance of Distal Runoff Score as a Key Influencer on Clinical Outcomes after Endovascular Interventions for Superficial Femoral Artery Disease. Annals of Vascular Surgery. 73. 234–243. 8 indexed citations

11.

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

12.

O’Sullivan, Miriam, et al.. (2018). Virtual Reality (VR) Technology: Empowering Managers to Reduce and Eliminate Accessibility Barriers for People with Autism Spectrum Disorders. Studies in health technology and informatics. 256. 253–261. 2 indexed citations

13.

Skeoch, Sarah, Miriam O’Sullivan, James M. Gwinnutt, et al.. (2017). SAT0092 Progression of atherosclerosis over 5 years in a cohort of early inflammatory arthritis patients: results from the norfolk arthritis register. Annals of the Rheumatic Diseases. 76. 803–803. 1 indexed citations

14.

Byrne, Niamh, et al.. (2017). Long-term safety and efficacy of biosimilar infliximab among patients with inflammatory arthritis switched from reference product. Open Access Rheumatology Research and Reviews. Volume 9. 29–35. 22 indexed citations

15.

Mendoza‐Pinto, Claudia, et al.. (2017). Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review. Seminars in Arthritis and Rheumatism. 47(3). 384–396. 20 indexed citations

16.

Maguire, Sinead, et al.. (2016). Combination of infliximab with thiopurines significantly reduces white cell and neutrophil counts in inflammatory bowel disease patients. Irish Journal of Medical Science (1971 -). 186(2). 329–332. 5 indexed citations

17.

O’Sullivan, Miriam, Ian N Bruce, & Deborah Symmons. (2016). Cardiovascular risk and its modification in patients with connective tissue diseases. Best Practice & Research Clinical Rheumatology. 30(1). 81–94. 13 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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