Daniel M. Espino

2.2k total citations
97 papers, 1.7k citations indexed

About

Daniel M. Espino is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel M. Espino has authored 97 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 35 papers in Biomedical Engineering and 34 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel M. Espino's work include Cardiac Valve Diseases and Treatments (28 papers), Total Knee Arthroplasty Outcomes (19 papers) and Osteoarthritis Treatment and Mechanisms (18 papers). Daniel M. Espino is often cited by papers focused on Cardiac Valve Diseases and Treatments (28 papers), Total Knee Arthroplasty Outcomes (19 papers) and Osteoarthritis Treatment and Mechanisms (18 papers). Daniel M. Espino collaborates with scholars based in United Kingdom, Italy and Iran. Daniel M. Espino's co-authors include Duncan E. T. Shepherd, Bernard Lawless, Keith Buchan, D.W.L. Hukins, L.E.J. Thomas-Seale, D.W.L. Hukins, Moataz M. Attallah, Jackson Kirkman‐Brown, Weiqi Li and Richard T. Bryan and has published in prestigious journals such as The Lancet, PLoS ONE and Nature Methods.

In The Last Decade

Daniel M. Espino

95 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Espino United Kingdom 25 729 710 428 389 222 97 1.7k
Duncan E. T. Shepherd United Kingdom 30 1.3k 1.8× 1.6k 2.3× 249 0.6× 651 1.7× 553 2.5× 152 3.3k
Riccardo Pietrabissa Italy 30 1.1k 1.5× 1.4k 1.9× 607 1.4× 185 0.5× 216 1.0× 84 2.9k
Francesca Gervaso Italy 26 1.4k 1.9× 709 1.0× 147 0.3× 176 0.5× 96 0.4× 80 2.3k
Fabian Rengier Germany 22 1.1k 1.5× 710 1.0× 414 1.0× 26 0.1× 91 0.4× 87 2.4k
Ted J. Vaughan Ireland 27 817 1.1× 433 0.6× 82 0.2× 62 0.2× 424 1.9× 86 2.5k
Dario Gastaldi Italy 25 506 0.7× 559 0.8× 118 0.3× 57 0.1× 531 2.4× 84 1.8k
Bruce L. Tai United States 26 729 1.0× 590 0.8× 349 0.8× 39 0.1× 784 3.5× 130 2.4k
Jonathan R.T. Jeffers United Kingdom 26 594 0.8× 1.1k 1.6× 82 0.2× 125 0.3× 548 2.5× 80 2.0k
Anthony Callanan United Kingdom 31 1.1k 1.6× 1.4k 1.9× 415 1.0× 228 0.6× 48 0.2× 99 2.8k
B. Schmidt-Rohlfing Germany 19 351 0.5× 649 0.9× 30 0.1× 302 0.8× 224 1.0× 62 1.5k

Countries citing papers authored by Daniel M. Espino

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Espino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Espino. 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 Daniel M. Espino. The network helps show where Daniel M. Espino may publish in the future.

Co-authorship network of co-authors of Daniel M. Espino

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Espino. A scholar is included among the top collaborators of Daniel M. Espino 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 Daniel M. Espino. Daniel M. Espino 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
2.
Castellani, Marco, et al.. (2025). Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review. Royal Society Open Science. 12(1). 241052–241052. 1 indexed citations
3.
Wang, Zhaoqiang, Daniel A. Wagenaar, Daniel M. Espino, et al.. (2025). Kilohertz volumetric imaging of in vivo dynamics using squeezed light field microscopy. Nature Methods. 22(10). 2194–2204. 1 indexed citations
4.
Shepherd, Duncan E. T., et al.. (2025). A single root repair and centralisation tunnel best restores tibiofemoral contact mechanics and extrusion following a medial meniscus posterior root tear: An in vitro biomechanical study. Knee Surgery Sports Traumatology Arthroscopy. 34(2). 459–471. 1 indexed citations
5.
Cox, Sophie C., et al.. (2024). A genetic algorithm optimization framework for the characterization of hyper-viscoelastic materials: application to human articular cartilage. Royal Society Open Science. 11(6). 240383–240383. 2 indexed citations
6.
Shepherd, Duncan E. T., et al.. (2024). Assessment of meniscal extrusion with ultrasonography: a systematic review and meta-analysis. Knee Surgery and Related Research. 36(1). 33–33. 1 indexed citations
7.
Fox, William M., B. Sharma, Jianhua Chen, Marco Castellani, & Daniel M. Espino. (2024). Optimising Physics-Informed Neural Network Solvers for Turbulence Modelling: A Study on Solver Constraints Against a Data-Driven Approach. Fluids. 9(12). 279–279. 1 indexed citations
8.
Shepherd, Duncan E. T., et al.. (2024). Centralization reduces meniscal extrusion, improves joint mechanics and functional outcomes in patients undergoing meniscus surgery: A systematic review and meta‐analysis. Knee Surgery Sports Traumatology Arthroscopy. 33(3). 888–906. 4 indexed citations
9.
Li, Weiqi, Duncan E. T. Shepherd, & Daniel M. Espino. (2024). Frequency and time dependent viscoelastic characterization of pediatric porcine brain tissue in compression. Biomechanics and Modeling in Mechanobiology. 23(4). 1197–1207. 6 indexed citations
10.
Shepherd, Duncan E. T., et al.. (2024). Suture tapes show superior biomechanical properties and greater meniscal healing compared to conventional sutures in posterior meniscal root tear repairs: A systematic review. Knee Surgery Sports Traumatology Arthroscopy. 33(9). 3098–3110. 2 indexed citations
11.
Espino, Daniel M., Duncan E. T. Shepherd, Keith Roberts, et al.. (2024). Pancreatic anastomosis training models: Current status and future directions. Pancreatology. 24(4). 624–629. 2 indexed citations
12.
Espino, Daniel M., Luca Deorsola, Jonathan P. Mynard, et al.. (2021). A toolbox for generating scalable mitral valve morphometric models. Computers in Biology and Medicine. 135. 104628–104628. 3 indexed citations
13.
Britton, Melanie M., et al.. (2021). The dynamic viscoelastic characterisation and magnetic resonance imaging of poly(vinyl alcohol) cryogel: Identifying new attributes and opportunities. Materials Science and Engineering C. 129. 112383–112383. 8 indexed citations
14.
Espino, Daniel M., et al.. (2020). Biomechanical Assessment of Bicuspid Aortic Valve Phenotypes: A Fluid–Structure Interaction Modelling Approach. Cardiovascular Engineering and Technology. 11(4). 431–447. 12 indexed citations
15.
Jiang, Kyle, et al.. (2019). Multiscale three-dimensional surface reconstruction and surface roughness of porcine left anterior descending coronary arteries. Royal Society Open Science. 6(9). 190915–190915. 10 indexed citations
16.
Lawless, Bernard, et al.. (2019). Dynamic viscoelastic characterisation of human osteochondral tissue: understanding the effect of the cartilage-bone interface. BMC Musculoskeletal Disorders. 20(1). 575–575. 28 indexed citations
17.
Sadeghi, Hamed, Daniel M. Espino, & Duncan E. T. Shepherd. (2017). Fatigue strength of bovine articular cartilage-on-bone under three-point bending: the effect of loading frequency. BMC Musculoskeletal Disorders. 18(1). 142–142. 26 indexed citations
18.
Languri, Ehsan Mohseni, et al.. (2016). Fluid–structure interaction modeling of aortic valve stenosis at different heart rates. PubMed. 18(3). 11–20. 15 indexed citations
19.
Shepherd, Duncan E. T., et al.. (2014). Frequency dependent viscoelastic properties of porcine bladder. Journal of the mechanical behavior of biomedical materials. 42. 168–176. 39 indexed citations
20.
Al‐Atabi, Mushtak, et al.. (2012). Biomechanical assessment of surgical repair of the mitral valve. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 226(4). 275–287. 14 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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