Maite Mujika

684 total citations
26 papers, 538 citations indexed

About

Maite Mujika is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Maite Mujika has authored 26 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 9 papers in Molecular Biology and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Maite Mujika's work include 3D Printing in Biomedical Research (8 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Maite Mujika is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Maite Mujika collaborates with scholars based in Spain, United States and Czechia. Maite Mujika's co-authors include Sergio Arana, E. Castaño, Jesús M. Ruano‐López, M. Tijero, Carlos Castilla, Michal Kozubek, Rafael Peláez, Derek J. Hansford, Xabier Morales and José Manuel García‐Aznar and has published in prestigious journals such as PLoS ONE, Biosensors and Bioelectronics and Sensors and Actuators B Chemical.

In The Last Decade

Maite Mujika

26 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maite Mujika Spain 11 367 167 73 61 59 26 538
Jasper van Weerd Netherlands 10 423 1.2× 181 1.1× 94 1.3× 62 1.0× 32 0.5× 14 624
J. Damon Hoff United States 8 259 0.7× 231 1.4× 29 0.4× 107 1.8× 66 1.1× 14 579
Sahana Gopal United Kingdom 12 226 0.6× 176 1.1× 48 0.7× 46 0.8× 37 0.6× 16 474
Jae-Hyeok Choi Singapore 12 216 0.6× 342 2.0× 146 2.0× 85 1.4× 108 1.8× 18 670
Jason N. Belling United States 10 209 0.6× 159 1.0× 45 0.6× 63 1.0× 32 0.5× 11 401
Stefan Kalies Germany 16 391 1.1× 229 1.4× 106 1.5× 65 1.1× 38 0.6× 50 681
Brad A. Krajina United States 13 223 0.6× 129 0.8× 75 1.0× 129 2.1× 69 1.2× 18 630
Alexis Belessiotis‐Richards United Kingdom 9 369 1.0× 303 1.8× 81 1.1× 62 1.0× 33 0.6× 12 740
Di‐Yen Chueh Taiwan 12 260 0.7× 130 0.8× 75 1.0× 79 1.3× 13 0.2× 16 509
Norbert Orgován Hungary 15 291 0.8× 239 1.4× 36 0.5× 88 1.4× 94 1.6× 17 651

Countries citing papers authored by Maite Mujika

Since Specialization
Citations

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

Fields of papers citing papers by Maite Mujika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maite Mujika

This figure shows the co-authorship network connecting the top 25 collaborators of Maite Mujika. A scholar is included among the top collaborators of Maite Mujika 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 Maite Mujika. Maite Mujika 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.
2.
Arana, Sergio, et al.. (2024). Efficient enrichment of free target sequences in an integrated microfluidic device for point-of-care detection systems. Nanomedicine Nanotechnology Biology and Medicine. 61. 102771–102771. 1 indexed citations
3.
Gracia, Raquel, et al.. (2023). Design and fabrication of a microfluidic system with embedded circular channels for rotary cell culture. Biotechnology Journal. 18(7). e2300004–e2300004. 2 indexed citations
4.
Pereira, Sheila, et al.. (2022). Drug-loaded PCL electrospun nanofibers as anti-pancreatic cancer drug delivery systems. Polymer Bulletin. 80(7). 7763–7778. 31 indexed citations
5.
Arana, Sergio, et al.. (2021). Versatile membrane-based microfluidic platform for in vitro drug diffusion testing mimicking in vivo environments. Nanomedicine Nanotechnology Biology and Medicine. 39. 102462–102462. 5 indexed citations
6.
Campisi, Jay, et al.. (2019). Glass-coated ferromagnetic microwire-induced magnetic hyperthermia for in vitro cancer cell treatment. Materials Science and Engineering C. 106. 110261–110261. 47 indexed citations
7.
Arana, Sergio, et al.. (2018). Improved microfluidic platform for simultaneous multiple drug screening towards personalized treatment. Biosensors and Bioelectronics. 123. 237–243. 39 indexed citations
8.
Castilla, Carlos, Martin Maška, Cristina Ederra, et al.. (2017). Characterization of three-dimensional cancer cell migration in mixed collagen-Matrigel scaffolds using microfluidics and image analysis. PLoS ONE. 12(2). e0171417–e0171417. 113 indexed citations
9.
Hisey, Colin L., et al.. (2017). Effectiveness of nanoencapsulated methotrexate against osteosarcoma cells: in vitro cytotoxicity under dynamic conditions. Biomedical Microdevices. 19(2). 35–35. 15 indexed citations
10.
Mujika, Maite, et al.. (2016). Soft polymer sensor for recording surface cortical activity in freely moving rodents. Sensors and Actuators A Physical. 251. 241–247. 4 indexed citations
11.
Paredes, Jacobo, et al.. (2015). Electrochemical Real-Time Analysis of Bacterial Biofilm Adhesion and Development by Means of Thin-Film Biosensors. IEEE Sensors Journal. 16(7). 1856–1864. 15 indexed citations
12.
Arana, Sergio, et al.. (2014). Development of a Biological Protocol for Endotoxin Detection Using Quartz Crystal Microbalance (QCM). Applied Biochemistry and Biotechnology. 174(7). 2492–2503. 5 indexed citations
13.
Gallego‐Perez, Daniel, et al.. (2014). Single-cell trapping and selective treatment via co-flow within a microfluidic platform. Biosensors and Bioelectronics. 61. 298–305. 29 indexed citations
14.
Mujika, Maite, et al.. (2014). Screening and selection of synthetic peptides for a novel and optimized endotoxin detection method. Journal of Biotechnology. 186. 162–168. 10 indexed citations
15.
Arizti, F., Susana Sánchez-Gómez, Guillermo Martínez de Tejada, et al.. (2014). Novel integrated and portable endotoxin detection system based on an electrochemical biosensor. The Analyst. 140(2). 654–660. 22 indexed citations
16.
Gómez-Aranzadi, M., Sergio Arana, Maite Mujika, & Derek J. Hansford. (2014). Integrated Microstructures to Improve Surface-Sample Interaction in Planar Biosensors. IEEE Sensors Journal. 15(2). 1216–1223. 8 indexed citations
17.
Morant‐Miñana, Maria C., et al.. (2013). Implementation and Characterization of a Fully Miniaturized Biosensor for Endotoxin Detection Based on Electrochemical Techniques. IEEE Sensors Journal. 14(1). 270–277. 9 indexed citations
18.
Mujika, Maite, et al.. (2011). GMR sensors: Magnetoresistive behaviour optimization for biological detection by means of superparamagnetic nanoparticles. Biosensors and Bioelectronics. 26(8). 3705–3709. 26 indexed citations
19.
Mujika, Maite, et al.. (2011). Comparative analysis of QCM and SPR techniques for the optimization of immobilization sequences. Sensors and Actuators B Chemical. 155(2). 667–672. 23 indexed citations
20.
Mujika, Maite, et al.. (2008). Magnetoresistive immunosensor for the detection of Escherichia coli O157:H7 including a microfluidic network. Biosensors and Bioelectronics. 24(5). 1253–1258. 101 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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