Marcos Latorre

1.5k total citations
48 papers, 1.1k citations indexed

About

Marcos Latorre is a scholar working on Biomedical Engineering, Mechanics of Materials and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marcos Latorre has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 13 papers in Mechanics of Materials and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marcos Latorre's work include Elasticity and Material Modeling (39 papers), Rheology and Fluid Dynamics Studies (9 papers) and Automotive and Human Injury Biomechanics (7 papers). Marcos Latorre is often cited by papers focused on Elasticity and Material Modeling (39 papers), Rheology and Fluid Dynamics Studies (9 papers) and Automotive and Human Injury Biomechanics (7 papers). Marcos Latorre collaborates with scholars based in Spain, United States and Netherlands. Marcos Latorre's co-authors include Francisco J. Montáns, Jay D. Humphrey, Abhay B. Ramachandra, Matthew R. Bersi, Alison L. Marsden, Jason M. Szafron, Bart Spronck, Cristina Cavinato, Ciaran Simms and Bruno V. Rego and has published in prestigious journals such as Scientific Reports, Science Advances and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Marcos Latorre

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcos Latorre Spain	23	800	312	246	192	165	48	1.1k
Roland C. Aydin Germany	17	534 0.7×	252 0.8×	119 0.5×	201 1.0×	85 0.5×	39	1.2k
John C. Criscione United States	19	692 0.9×	241 0.8×	105 0.4×	121 0.6×	500 3.0×	56	1.3k
Jia Lu United States	25	873 1.1×	369 1.2×	475 1.9×	273 1.4×	350 2.1×	82	1.7k
T. Christian Gasser Sweden	17	934 1.2×	197 0.6×	600 2.4×	77 0.4×	351 2.1×	28	1.6k
Ivan D. Breslavsky Canada	19	528 0.7×	358 1.1×	192 0.8×	86 0.4×	84 0.5×	31	887
F. C. P. Yin United States	14	795 1.0×	122 0.4×	179 0.7×	128 0.7×	436 2.6×	20	1.1k
V. Alastrué Spain	12	482 0.6×	127 0.4×	123 0.5×	58 0.3×	69 0.4×	12	644
Michele Marino Italy	20	449 0.6×	265 0.8×	101 0.4×	121 0.6×	40 0.2×	71	929
Chung‐Hao Lee United States	23	583 0.7×	139 0.4×	159 0.6×	281 1.5×	707 4.3×	90	1.4k
Christian Schulze‐Bauer Austria	12	941 1.2×	117 0.4×	320 1.3×	69 0.4×	212 1.3×	23	1.4k

Countries citing papers authored by Marcos Latorre

Since Specialization

Citations

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

Fields of papers citing papers by Marcos Latorre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Latorre

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

All Works

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20 of 20 papers shown

Latorre, Marcos, et al.. (2023). An inverse fitting strategy to determine the constrained mixture model parameters: application in patient-specific aorta. Frontiers in Bioengineering and Biotechnology. 11. 1301988–1301988. 2 indexed citations

Latorre, Marcos, Frank Frank Baaijens, Cecilia Sahlgren, et al.. (2023). A multiscale computational model of arterial growth and remodeling including Notch signaling. Biomechanics and Modeling in Mechanobiology. 22(5). 1569–1588. 6 indexed citations

Goswami, Somdatta, David S. Li, Bruno V. Rego, et al.. (2022). Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms. Journal of The Royal Society Interface. 19(193). 20220410–20220410. 21 indexed citations

Latorre, Marcos, Jason M. Szafron, Abhay B. Ramachandra, & Jay D. Humphrey. (2022). In vivo development of tissue engineered vascular grafts: a fluid-solid-growth model. Biomechanics and Modeling in Mechanobiology. 21(3). 827–848. 11 indexed citations

Ju, Liu, Marcos Latorre, & Alison L. Marsden. (2021). A continuum and computational framework for viscoelastodynamics: I. Finite deformation linear models. Computer Methods in Applied Mechanics and Engineering. 385. 114059–114059. 13 indexed citations

Murtada, Sae‐Il, Yuki I. Kawamura, Alexander W. Caulk, et al.. (2020). Paradoxical aortic stiffening and subsequent cardiac dysfunction in Hutchinson–Gilford progeria syndrome. Journal of The Royal Society Interface. 17(166). 20200066–20200066. 18 indexed citations

Cavinato, Cristina, et al.. (2020). Mechanics-driven mechanobiological mechanisms of arterial tortuosity. Science Advances. 6(49). 29 indexed citations

Latorre, Marcos & Jay D. Humphrey. (2020). Fast, rate-independent, finite element implementation of a 3D constrained mixture model of soft tissue growth and remodeling. Computer Methods in Applied Mechanics and Engineering. 368. 113156–113156. 22 indexed citations

Ramachandra, Abhay B., Marcos Latorre, Jason M. Szafron, Alison L. Marsden, & Jay D. Humphrey. (2020). Vascular adaptation in the presence of external support - A modeling study. Journal of the mechanical behavior of biomedical materials. 110. 103943–103943. 12 indexed citations

10.

Latorre, Marcos & Jay D. Humphrey. (2020). Numerical knockouts–In silico assessment of factors predisposing to thoracic aortic aneurysms. PLoS Computational Biology. 16(10). e1008273–e1008273. 21 indexed citations

11.

Latorre, Marcos, Matthew R. Bersi, & Jay D. Humphrey. (2019). Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension. International Journal of Engineering Science. 141. 35–46. 24 indexed citations

12.

Latorre, Marcos & Jay D. Humphrey. (2018). Mechanobiological stability of biological soft tissues. Journal of the Mechanics and Physics of Solids. 125. 298–325. 32 indexed citations

13.

Latorre, Marcos & Jay D. Humphrey. (2018). Modeling mechano-driven and immuno-mediated aortic maladaptation in hypertension. Biomechanics and Modeling in Mechanobiology. 17(5). 1497–1511. 43 indexed citations

14.

Latorre, Marcos, et al.. (2017). A continuum model for tension-compression asymmetry in skeletal muscle. Journal of the mechanical behavior of biomedical materials. 77. 455–460. 23 indexed citations

15.

Latorre, Marcos & Francisco J. Montáns. (2017). A new class of plastic flow evolution equations for anisotropic multiplicative elastoplasticity based on the notion of a corrector elastic strain rate. Applied Mathematical Modelling. 55. 716–740. 21 indexed citations

16.

Latorre, Marcos, et al.. (2016). The relevance of transverse deformation effects in modeling soft biological tissues. International Journal of Solids and Structures. 99. 57–70. 32 indexed citations

17.

Latorre, Marcos, Estefanía Peña, & Francisco J. Montáns. (2016). Determination and Finite Element Validation of the WYPIWYG Strain Energy of Superficial Fascia from Experimental Data. Annals of Biomedical Engineering. 45(3). 799–810. 15 indexed citations

18.

Latorre, Marcos & Francisco J. Montáns. (2015). Anisotropic finite strain viscoelasticity based on the Sidoroff multiplicative decomposition and logarithmic strains. Computational Mechanics. 56(3). 503–531. 55 indexed citations

19.

Latorre, Marcos & Francisco J. Montáns. (2014). Response to Fiala’s comments on “On the interpretation of the logarithmic strain tensor in an arbitrary system of representation”. International Journal of Solids and Structures. 56-57. 292–292. 7 indexed citations

20.

Latorre, Marcos & Francisco J. Montáns. (2014). On the interpretation of the logarithmic strain tensor in an arbitrary system of representation. International Journal of Solids and Structures. 51(7-8). 1507–1515. 40 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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