María Masid

530 total citations
20 papers, 155 citations indexed

About

María Masid is a scholar working on Mechanics of Materials, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, María Masid has authored 20 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 10 papers in Computational Theory and Mathematics and 7 papers in Molecular Biology. Recurrent topics in María Masid's work include Numerical methods in engineering (9 papers), Contact Mechanics and Variational Inequalities (7 papers) and Thermoelastic and Magnetoelastic Phenomena (7 papers). María Masid is often cited by papers focused on Numerical methods in engineering (9 papers), Contact Mechanics and Variational Inequalities (7 papers) and Thermoelastic and Magnetoelastic Phenomena (7 papers). María Masid collaborates with scholars based in Spain, Switzerland and United States. María Masid's co-authors include José R. Fernández, Vassily Hatzimanikatis, Ljubiša Mišković, Pierre Salvy, Omid Oftadeh, Meriç Ataman, R. Quintanilla, Antonio Magaña, Daniel Weilandt and M.I.M. Copetti and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

María Masid

19 papers receiving 152 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Masid Spain 8 92 53 47 21 15 20 155
Ray Yang Canada 6 28 0.3× 48 0.9× 4 0.1× 87 4.1× 5 0.3× 10 236
Guillaume Klein France 5 4 0.0× 7 0.1× 11 0.2× 6 0.3× 6 0.4× 10 104
Charlotte Kallaway United Kingdom 3 48 0.5× 29 0.5× 6 0.1× 2 0.1× 1 0.1× 4 158
Jonathan Strutz United States 6 108 1.2× 22 0.4× 12 0.6× 4 0.3× 6 120
Didier Croes Belgium 4 195 2.1× 39 0.7× 28 1.3× 3 0.2× 5 211
Matthew J. Patitz United States 11 221 2.4× 22 0.4× 1 0.0× 69 3.3× 2 0.1× 33 257
Robert Pinsler United Kingdom 3 32 0.3× 7 0.1× 20 1.0× 5 0.3× 3 68
Rohan Dasari United States 4 37 0.4× 16 0.3× 5 0.1× 6 104
Jorvani Cruz Villarreal United States 5 29 0.3× 30 0.6× 3 0.1× 10 72
Jianmin Wu China 4 24 0.3× 20 0.4× 2 0.0× 2 0.1× 15 63

Countries citing papers authored by María Masid

Since Specialization
Citations

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

Fields of papers citing papers by María Masid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Masid

This figure shows the co-authorship network connecting the top 25 collaborators of María Masid. A scholar is included among the top collaborators of María Masid 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 María Masid. María Masid 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.
Weilandt, Daniel, María Masid, Viktor Hesselberg-Thomsen, et al.. (2025). Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production. Metabolic Engineering. 91. 430–441.
2.
Weilandt, Daniel, et al.. (2024). Rational strain design with minimal phenotype perturbation. Nature Communications. 15(1). 723–723. 8 indexed citations
3.
Masid, María, Kerry Woods, Reto Caldelari, et al.. (2024). Host cell CRISPR genomics and modelling reveal shared metabolic vulnerabilities in the intracellular development of Plasmodium falciparum and related hemoparasites. Nature Communications. 15(1). 6145–6145. 2 indexed citations
4.
Weilandt, Daniel, et al.. (2022). Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models. Bioinformatics. 39(1). 9 indexed citations
5.
Oftadeh, Omid, et al.. (2021). A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics. Nature Communications. 12(1). 4790–4790. 60 indexed citations
6.
Masid, María & Vassily Hatzimanikatis. (2021). Quantitative modeling of human metabolism: A call for a community effort. Current Opinion in Systems Biology. 26. 109–115. 3 indexed citations
7.
Masid, María, Meriç Ataman, & Vassily Hatzimanikatis. (2020). Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN. Nature Communications. 11(1). 2821–2821. 20 indexed citations
8.
Fernández, José R., María Masid, Antonio Magaña, & R. Quintanilla. (2019). A problem with viscoelastic mixtures: numerical analysis and computational experiments. Applicable Analysis. 100(12). 2684–2705. 1 indexed citations
9.
Fernández, José R., Antonio Magaña, María Masid, & R. Quintanilla. (2018). Analysis for the strain gradient theory of porous thermoelasticity. Journal of Computational and Applied Mathematics. 345. 247–268. 7 indexed citations
10.
Fernández, José R. & María Masid. (2017). Numerical Analysis Of A Thermoelastic Diffusion Problem With Voids. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14(2). 153–174. 3 indexed citations
11.
Fernández, José R. & María Masid. (2017). A mixture of thermoelastic solids with two temperatures. Computers & Mathematics with Applications. 73(9). 1886–1899. 3 indexed citations
12.
Fernández, José R., et al.. (2017). A dynamic viscoelastic problem: Experimental and numerical results of a finite vibrating plate. SHILAP Revista de lepidopterología. 4(1). 1282691–1282691. 1 indexed citations
13.
Fernández, José R., José Manuel García‐Aznar, & María Masid. (2017). Numerical analysis of an osteoconduction model arising in bone-implant integration. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 97(9). 1050–1063. 3 indexed citations
14.
Fernández, José R. & María Masid. (2017). A porous thermoviscoelastic mixture problem: numerical analysis and computational experiments. Applicable Analysis. 97(7). 1074–1093. 1 indexed citations
15.
Fernández, José R. & María Masid. (2017). A porous thermoelastic problem: An a priori error analysis and computational experiments. Applied Mathematics and Computation. 305. 117–135. 6 indexed citations
16.
Fernández, José R., Antonio Magaña, María Masid, & R. Quintanilla. (2017). On the Viscoelastic Mixtures of Solids. Applied Mathematics & Optimization. 79(2). 309–326. 8 indexed citations
17.
Fernández, José R. & María Masid. (2016). A porous thermoelastic problem with microtemperatures. Journal of Thermal Stresses. 40(2). 145–166. 7 indexed citations
18.
Fernández, José R. & María Masid. (2016). Analysis of a problem arising in porous thermoelasticity of type II. Journal of Thermal Stresses. 39(5). 513–531. 7 indexed citations
19.
Fernández, José R. & María Masid. (2015). Analysis of a model for the propagation of the ossification front. Journal of Computational and Applied Mathematics. 318. 624–633. 1 indexed citations
20.
Copetti, M.I.M., José R. Fernández, & María Masid. (2015). Numerical analysis of a viscoelastic mixture problem. International Journal of Solids and Structures. 80. 393–404. 5 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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