Hannah L. Dailey

721 total citations
39 papers, 520 citations indexed

About

Hannah L. Dailey is a scholar working on Epidemiology, Surgery and Biomedical Engineering. According to data from OpenAlex, Hannah L. Dailey has authored 39 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 27 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Hannah L. Dailey's work include Bone fractures and treatments (29 papers), Orthopaedic implants and arthroplasty (17 papers) and Orthopedic Surgery and Rehabilitation (9 papers). Hannah L. Dailey is often cited by papers focused on Bone fractures and treatments (29 papers), Orthopaedic implants and arthroplasty (17 papers) and Orthopedic Surgery and Rehabilitation (9 papers). Hannah L. Dailey collaborates with scholars based in United States, Switzerland and Ireland. Hannah L. Dailey's co-authors include Samir N. Ghadiali, James A. Harty, Salim Darwiche, Huseyin C. Yalcin, Karina Klein, Brigitte von Rechenberg, Charles M. Court-Brown, Margaret M. McQueen, Michael M. Maher and Laura M. Ricles and has published in prestigious journals such as Journal of Bone and Joint Surgery, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Hannah L. Dailey

36 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah L. Dailey United States 14 283 277 121 87 68 39 520
Jae Hoon Ahn South Korea 15 319 1.1× 122 0.4× 114 0.9× 31 0.4× 353 5.2× 52 710
Parina Shah United States 13 405 1.4× 75 0.3× 224 1.9× 20 0.2× 98 1.4× 21 707
Jonathan Grashow United States 8 279 1.0× 55 0.2× 260 2.1× 54 0.6× 28 0.4× 10 585
Christian Götze Germany 17 844 3.0× 117 0.4× 90 0.7× 27 0.3× 63 0.9× 52 981
Benjamin Shaffer United States 15 941 3.3× 482 1.7× 66 0.5× 24 0.3× 253 3.7× 33 1.2k
Juan Manuel Melchor Rodríguez Spain 13 65 0.2× 60 0.2× 206 1.7× 36 0.4× 21 0.3× 45 486
Alessandro Nava Switzerland 8 128 0.5× 78 0.3× 254 2.1× 99 1.1× 25 0.4× 16 497
Geert H. M. Gijsbers Netherlands 17 198 0.7× 64 0.2× 275 2.3× 161 1.9× 6 0.1× 34 932
Stéphane Nicolle France 11 63 0.2× 82 0.3× 349 2.9× 329 3.8× 41 0.6× 17 574
Carlos Bonifasi‐Lista United States 6 165 0.6× 25 0.1× 165 1.4× 26 0.3× 131 1.9× 7 353

Countries citing papers authored by Hannah L. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Hannah L. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah L. Dailey. 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 Hannah L. Dailey. The network helps show where Hannah L. Dailey may publish in the future.

Co-authorship network of co-authors of Hannah L. Dailey

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah L. Dailey. A scholar is included among the top collaborators of Hannah L. Dailey 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 Hannah L. Dailey. Hannah L. Dailey 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.
Hughes, J. C., et al.. (2025). Reliable and streamlined model setup for digital twin assessment of fracture healing. Journal of Biomechanics. 180. 112492–112492.
2.
3.
Klein, Karina, et al.. (2025). Fast automated creation of digital twins for virtual mechanical testing of ovine fractured tibiae. Computers in Biology and Medicine. 192(Pt A). 110268–110268.
4.
Darwiche, Salim, et al.. (2024). Torsion constants and virtual mechanical tests are valid image‐based surrogate measures of ovine fracture healing. Journal of Orthopaedic Research®. 42(8). 1810–1819. 1 indexed citations
5.
Oreffo, Richard O. C., et al.. (2023). Embracing ethical research: Implementing the 3R principles into fracture healing research for sustainable scientific progress. Journal of Orthopaedic Research®. 42(3). 568–577. 6 indexed citations
6.
Darwiche, Salim, Anna Kaczmarek, Peter Kronen, et al.. (2023). Combined electric and magnetic field therapy for bone repair and regeneration: an investigation in a 3-mm and an augmented 17-mm tibia osteotomy model in sheep. Journal of Orthopaedic Surgery and Research. 18(1). 454–454. 6 indexed citations
7.
Dailey, Hannah L., et al.. (2023). Mechanical Biomarkers in Bone Using Image-Based Finite Element Analysis. Current Osteoporosis Reports. 21(3). 266–277. 8 indexed citations
8.
Klein, Karina, et al.. (2022). Image-based radiodensity profilometry measures early remodeling at the bone-callus interface in sheep. Biomechanics and Modeling in Mechanobiology. 21(2). 615–626. 8 indexed citations
9.
Klein, Karina, et al.. (2022). Biomechanical duality of fracture healing captured using virtual mechanical testing and validated in ovine bones. Scientific Reports. 12(1). 2492–2492. 19 indexed citations
10.
Klein, Karina, et al.. (2021). Domain-independent simulation of physiologically relevant callus shape in mechanoregulated models of fracture healing. Journal of Biomechanics. 118. 110300–110300. 12 indexed citations
11.
Dailey, Hannah L., et al.. (2021). Pilot study of micromotion nailing for mechanical stimulation of tibial fracture healing. Bone & Joint Open. 2(10). 825–833. 9 indexed citations
12.
Marmor, Meir, et al.. (2020). Biomedical research models in the science of fracture healing - Pitfalls & promises. Injury. 51(10). 2118–2128. 4 indexed citations
13.
Dailey, Hannah L., et al.. (2020). Mechanoregulation modeling of bone healing in realistic fracture geometries. Biomechanics and Modeling in Mechanobiology. 19(6). 2307–2322. 23 indexed citations
14.
Darwiche, Salim, et al.. (2020). Imaging Modalities to Assess Fracture Healing. Current Osteoporosis Reports. 18(3). 169–179. 29 indexed citations
15.
Dailey, Hannah L., et al.. (2019). Elementwise material assignment in reconstructed or transformed patient-specific FEA models developed from CT scans. Computer Methods in Biomechanics & Biomedical Engineering. 23(3). 92–102. 2 indexed citations
16.
Dailey, Hannah L., et al.. (2019). Virtual Mechanical Testing Based on Low-Dose Computed Tomography Scans for Tibial Fracture. Journal of Bone and Joint Surgery. 101(13). 1193–1202. 27 indexed citations
17.
Malige, Ajith, et al.. (2019). Mechanical characterization of bone quality in distal femur fractures using pre-operative computed tomography scans. Clinical Biomechanics. 67. 20–26. 9 indexed citations
18.
Dragovich, Matthew A., et al.. (2016). Dual Regulation of L-Selectin-Mediated Leukocyte Adhesion by Endothelial Surface Glycocalyx. Cellular and Molecular Bioengineering. 10(1). 102–113. 6 indexed citations
19.
Galbraith, John G., Donal Peter O’Leary, Hannah L. Dailey, et al.. (2012). Preoperative estimation of tibial nail length—Because size does matter. Injury. 43(11). 1962–1968. 10 indexed citations
20.
Dailey, Hannah L., et al.. (2011). A novel intramedullary nail for micromotion stimulation of tibial fractures. Clinical Biomechanics. 27(2). 182–188. 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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