Adrián Buganza Tepole

3.1k total citations · 1 hit paper
95 papers, 2.2k citations indexed

About

Adrián Buganza Tepole is a scholar working on Biomedical Engineering, Cell Biology and Rehabilitation. According to data from OpenAlex, Adrián Buganza Tepole has authored 95 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 35 papers in Cell Biology and 32 papers in Rehabilitation. Recurrent topics in Adrián Buganza Tepole's work include Cellular Mechanics and Interactions (35 papers), Wound Healing and Treatments (32 papers) and Elasticity and Material Modeling (32 papers). Adrián Buganza Tepole is often cited by papers focused on Cellular Mechanics and Interactions (35 papers), Wound Healing and Treatments (32 papers) and Elasticity and Material Modeling (32 papers). Adrián Buganza Tepole collaborates with scholars based in United States, Switzerland and Chile. Adrián Buganza Tepole's co-authors include Ellen Kuhl, Arun K. Gosain, Manuel K. Rausch, Taeksang Lee, Francisco Sahli Costabal, Krishna Garikipati, Paris Perdikaris, George Em Karniadakis, Suvranu De and Mark Alber and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Adrián Buganza Tepole

84 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

2019 405 citations Mark Alber, Adrián Buganza Tepole et al. npj Digital Medicine profile →

Peers

Adrián Buganza Tepole

REHAB

SURGE

SNP

Manuel K. Rausch United States

Poul M. F. Nielsen New Zealand

Nikolaos Bouklas United States

Luc Mongeau Canada

Liang Liang United States

Andreas Menzel Germany

Yanping Huang China

Jianfei Wang China

Xie Li China

Peter Ma United States

Manuel K. Rausch United States

Adrián Buganza Tepole

767 ×0.9

202 ×0.4

89 ×0.2

REHAB

369 ×1.1

SURGE

81 ×0.3

SNP

Citations per year, relative to Adrián Buganza Tepole Adrián Buganza Tepole (= 1×) peers Manuel K. Rausch

Countries citing papers authored by Adrián Buganza Tepole

Since Specialization

Citations

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

Fields of papers citing papers by Adrián Buganza Tepole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrián Buganza Tepole. 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 Adrián Buganza Tepole. The network helps show where Adrián Buganza Tepole may publish in the future.

Co-authorship network of co-authors of Adrián Buganza Tepole

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Buganza Tepole. A scholar is included among the top collaborators of Adrián Buganza Tepole 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 Adrián Buganza Tepole. Adrián Buganza Tepole 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

Holland, Maria A., et al.. (2024). Numerical investigation of new rete ridge formation in a multi-layer model of skin subjected to tissue expansion. Journal of Biomechanics. 176. 112346–112346.

Tepole, Adrián Buganza, et al.. (2024). A machine learning approach to predict in vivo skin growth. Scientific Reports. 14(1). 17456–17456. 5 indexed citations

Peirlinck, Mathias, Juan A. Hurtado, Manuel K. Rausch, Adrián Buganza Tepole, & Ellen Kuhl. (2024). A universal material model subroutine for soft matter systems. Engineering With Computers. 41(2). 905–927. 8 indexed citations

Wang, Wei, et al.. (2024). Integrin mechanosensing relies on a pivot-clip mechanism to reinforce cell adhesion. Biophysical Journal. 123(16). 2443–2454. 3 indexed citations

Kuhl, Ellen, et al.. (2024). Data-driven continuum damage mechanics with built-in physics. Extreme Mechanics Letters. 71. 102220–102220. 8 indexed citations

Rausch, Manuel K., et al.. (2024). Generative hyperelasticity with physics-informed probabilistic diffusion fields. Engineering With Computers. 41(1). 51–69. 5 indexed citations

Tepole, Adrián Buganza, et al.. (2023). Lymphatic uptake of biotherapeutics through a 3D hybrid discrete-continuum vessel network in the skin tissue. Journal of Controlled Release. 354. 869–888. 11 indexed citations

Linka, Kevin, et al.. (2023). Benchmarking physics-informed frameworks for data-driven hyperelasticity. Computational Mechanics. 73(1). 49–65. 48 indexed citations

Linka, Kevin, Adrián Buganza Tepole, Gerhard A. Holzapfel, & Ellen Kuhl. (2023). Automated model discovery for skin: Discovering the best model, data, and experiment. Computer Methods in Applied Mechanics and Engineering. 410. 116007–116007. 32 indexed citations

10.

Tepole, Adrián Buganza, et al.. (2023). Multiscale mechanical characterization and computational modeling of fibrin gels. Acta Biomaterialia. 162. 292–303. 12 indexed citations

11.

Rausch, Manuel K., et al.. (2023). Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. Computer Methods in Applied Mechanics and Engineering. 411. 116046–116046. 29 indexed citations

12.

Solorio, Luis, et al.. (2023). Mechanical damage in porcine dermis: Micro-mechanical model and experimental characterization. Journal of the mechanical behavior of biomedical materials. 147. 106143–106143. 2 indexed citations

13.

Fisher, Carla S., et al.. (2023). Computational mechanobiology model evaluating healing of postoperative cavities following breast-conserving surgery. Computers in Biology and Medicine. 165. 107342–107342. 3 indexed citations

14.

Pensalfini, Marco & Adrián Buganza Tepole. (2023). Mechano-biological and bio-mechanical pathways in cutaneous wound healing. PLoS Computational Biology. 19(3). e1010902–e1010902. 21 indexed citations

15.

Solorio, Luis, et al.. (2023). Damage and Fracture Mechanics of Porcine Subcutaneous Tissue Under Tensile Loading. Annals of Biomedical Engineering. 51(9). 2056–2069. 9 indexed citations

16.

Alber, Mark, Adrián Buganza Tepole, William R. Cannon, et al.. (2019). Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digital Medicine. 2(1). 115–115. 405 indexed citations breakdown →

17.

Lee, Taeksang, Sergey Y. Turin, Arun K. Gosain, Ilias Bilionis, & Adrián Buganza Tepole. (2018). Propagation of material behavior uncertainty in a nonlinear finite element model of reconstructive surgery. Biomechanics and Modeling in Mechanobiology. 17(6). 1857–1873. 27 indexed citations

18.

Tepole, Adrián Buganza, et al.. (2015). Isogeometric Kirchhoff–Love shell formulations for biological membranes. Computer Methods in Applied Mechanics and Engineering. 293. 328–347. 92 indexed citations

19.

Tepole, Adrián Buganza, Michael S. Gart, Chad A. Purnell, Arun K. Gosain, & Ellen Kuhl. (2015). Multi-view stereo analysis reveals anisotropy of prestrain, deformation, and growth in living skin. Biomechanics and Modeling in Mechanobiology. 14(5). 1007–1019. 27 indexed citations

20.

Tepole, Adrián Buganza, Michael S. Gart, Chad A. Purnell, Arun K. Gosain, & Ellen Kuhl. (2015). The Incompatibility of Living Systems: Characterizing Growth-Induced Incompatibilities in Expanded Skin. Annals of Biomedical Engineering. 44(5). 1734–1752. 20 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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