Graça Minas

4.1k total citations · 2 hit papers
165 papers, 2.9k citations indexed

About

Graça Minas is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Graça Minas has authored 165 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Biomedical Engineering, 47 papers in Electrical and Electronic Engineering and 33 papers in Bioengineering. Recurrent topics in Graça Minas's work include Microfluidic and Capillary Electrophoresis Applications (58 papers), Microfluidic and Bio-sensing Technologies (46 papers) and Analytical Chemistry and Sensors (33 papers). Graça Minas is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (58 papers), Microfluidic and Bio-sensing Technologies (46 papers) and Analytical Chemistry and Sensors (33 papers). Graça Minas collaborates with scholars based in Portugal, Spain and Netherlands. Graça Minas's co-authors include Rui Lima, Susana O. Catarino, Paulo Sousa, Vanessa F. Cardoso, S. Lanceros‐Méndez, Raquel O. Rodrigues, Vera Faustino, João Ribeiro, Elisabete M. S. Castanheira and Inês Miranda and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Industrial Electronics and Small.

In The Last Decade

Graça Minas

157 papers receiving 2.8k citations

Hit Papers

Properties and Applicatio... 2021 2026 2022 2024 2021 2022 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Graça Minas 2.0k 591 273 232 213 165 2.9k
On Shun Pak 2.1k 1.0× 550 0.9× 317 1.2× 227 1.0× 179 0.8× 63 2.9k
Boris Stoeber 1.4k 0.7× 689 1.2× 206 0.8× 272 1.2× 92 0.4× 125 2.7k
Wouter van der Wijngaart 2.1k 1.1× 1.2k 2.0× 297 1.1× 316 1.4× 126 0.6× 167 3.2k
Jae Joon Kim 1.4k 0.7× 932 1.6× 256 0.9× 491 2.1× 142 0.7× 172 3.4k
Lei Mou 1.2k 0.6× 344 0.6× 260 1.0× 369 1.6× 57 0.3× 67 2.1k
Min‐Hsien Wu 2.7k 1.3× 901 1.5× 241 0.9× 602 2.6× 385 1.8× 150 4.3k
Muthukumaran Packirisamy 1.7k 0.8× 983 1.7× 390 1.4× 541 2.3× 166 0.8× 267 3.2k
Tijani Gharbi 851 0.4× 478 0.8× 422 1.5× 443 1.9× 146 0.7× 135 2.3k
Tsung-Han Tsai 1.6k 0.8× 789 1.3× 275 1.0× 301 1.3× 161 0.8× 125 2.9k
Zhaochu Yang 1.2k 0.6× 551 0.9× 515 1.9× 354 1.5× 92 0.4× 71 2.2k

Countries citing papers authored by Graça Minas

Since Specialization
Citations

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

Fields of papers citing papers by Graça Minas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graça Minas

This figure shows the co-authorship network connecting the top 25 collaborators of Graça Minas. A scholar is included among the top collaborators of Graça Minas 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 Graça Minas. Graça Minas 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.
Gonçalves, Inês M., Diana Pinho, Joel Borges, et al.. (2025). Long-term hydrophilic PDMS surfaces using Brij L4: A simple and robust approach for biomedical applications. Applied Surface Science Advances. 30. 100904–100904.
3.
Pinto, Vânia Zanella, et al.. (2024). A portable and low-cost optical device for pigment-based taxonomic classification of microalgae using machine learning. Sensors and Actuators B Chemical. 423. 136819–136819. 3 indexed citations
4.
Sousa, Paulo, Vânia Pinto, Delfim Soares, et al.. (2024). PDMS porous microneedles used as engineered tool in advanced microfluidic devices and their proof-of-concept for biomarker detection. Chemical Engineering Journal. 485. 149725–149725. 11 indexed citations
5.
Sousa, Paulo, et al.. (2024). Complementary Metal Oxide Semiconductor-Based Optical Detection System for Fluidic Cellular Medium pH Quantification. Photonics. 11(12). 1130–1130. 2 indexed citations
6.
Sousa, Paulo, Vânia Pinto, Joel Borges, et al.. (2024). Critical Issues on the Surface Functionalization of Plasmonic Au-Ag/TiO2 Thin Films with Thiolated Oligonucleotide-Based Biorecognition Elements. Biosensors. 14(4). 159–159. 1 indexed citations
7.
Gonçalves, Inês M., Joel Borges, Vera Faustino, et al.. (2024). Polydimethylsiloxane Surface Modification of Microfluidic Devices for Blood Plasma Separation. Polymers. 16(10). 1416–1416. 16 indexed citations
8.
Carvalho, Violeta, Inês M. Gonçalves, Paulo Sousa, et al.. (2023). Numerical evaluation and experimental validation of fluid flow behavior within an organ-on-a-chip model. Computer Methods and Programs in Biomedicine. 243. 107883–107883. 14 indexed citations
9.
Carvalho, Violeta, Manuel Bañobre‐López, Graça Minas, et al.. (2022). The integration of spheroids and organoids into organ-on-a-chip platforms for tumour research: A review. Bioprinting. 27. e00224–e00224. 26 indexed citations
10.
Gonçalves, Inês M., Raquel O. Rodrigues, Ana Moita, et al.. (2022). Recent trends of biomaterials and biosensors for organ-on-chip platforms. Bioprinting. 26. e00202–e00202. 34 indexed citations
11.
Carvalho, Violeta, Bernardo Faria, Inês Miranda, et al.. (2022). Diagnosis Methods for COVID-19: A Systematic Review. Micromachines. 13(8). 1349–1349. 25 indexed citations
12.
Gonçalves, Inês M., Inês Castro, Vera Faustino, et al.. (2022). Experimental Characterization of a Microfluidic Device Based on Passive Crossflow Filters for Blood Fractionation. Processes. 10(12). 2698–2698. 5 indexed citations
13.
Gonçalves, Inês M., Violeta Carvalho, Raquel O. Rodrigues, et al.. (2022). Organ-on-a-Chip Platforms for Drug Screening and Delivery in Tumor Cells: A Systematic Review. Cancers. 14(4). 935–935. 46 indexed citations
14.
Martins, M.S., Paulo Sousa, Vânia Pinto, et al.. (2021). PtOEP–PDMS-Based Optical Oxygen Sensor. Sensors. 21(16). 5645–5645. 11 indexed citations
15.
Miranda, Inês, Andrews Souza, Paulo Sousa, et al.. (2021). Properties and Applications of PDMS for Biomedical Engineering: A Review. Journal of Functional Biomaterials. 13(1). 2–2. 467 indexed citations breakdown →
16.
Souza, Reinaldo Rodrigues de, Inês M. Gonçalves, Raquel O. Rodrigues, et al.. (2021). Recent advances on the thermal properties and applications of nanofluids: From nanomedicine to renewable energies. Applied Thermal Engineering. 201. 117725–117725. 74 indexed citations
17.
Rodrigues, Raquel O., Patrícia C. Sousa, J. Gaspar, et al.. (2020). Organ‐on‐a‐Chip: A Preclinical Microfluidic Platform for the Progress of Nanomedicine. Small. 16(51). e2003517–e2003517. 103 indexed citations
18.
Catarino, Susana O., Raquel O. Rodrigues, Diana Pinho, et al.. (2019). Blood Cells Separation and Sorting Techniques of Passive Microfluidic Devices: From Fabrication to Applications. Micromachines. 10(9). 593–593. 114 indexed citations
19.
Faustino, Vera, Rui Lima, J.M. Miranda, et al.. (2018). Assessment of the Deformability and Velocity of Healthy and Artificially Impaired Red Blood Cells in Narrow Polydimethylsiloxane (PDMS) Microchannels. Micromachines. 9(8). 384–384. 39 indexed citations
20.
Pimenta, Sara, et al.. (2017). CMOS Integrated Photodetectors and Light-to-Frequency Converters for Spectrophotometric Measurements. IEEE Sensors Journal. 17(11). 3438–3445. 12 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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