João Ribas

2.6k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

João Ribas is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, João Ribas has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Biomaterials. Recurrent topics in João Ribas's work include 3D Printing in Biomedical Research (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). João Ribas is often cited by papers focused on 3D Printing in Biomedical Research (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). João Ribas collaborates with scholars based in United States, Portugal and Saudi Arabia. João Ribas's co-authors include Ali Khademhosseini, Yu Shrike Zhang, Mehmet R. Dokmeci, Jeroen Leijten, Vijayan Manoharan, Solange Massa, Nupura S. Bhise, Alessandro Polini, Mario Moisés Álvarez and Anne M. Andrews and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Controlled Release.

In The Last Decade

João Ribas

20 papers receiving 1.4k 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.

Interplay between materials and microfluidics

2017 337 citations Xu Hou, Yu Shrike Zhang et al. Nature Reviews Materials profile →

Peers

João Ribas

BIOMA

SURGE

CMN

Šeila Selimović United States

James Blumling United States

Daniel Gallego‐Perez United States

Yesl Jun South Korea

Pilnam Kim South Korea

Ramin Banan Sadeghian Japan

Alessandro Polini Italy

Joseph A. M. Steele United Kingdom

Justin T. Koepsel United States

Šeila Selimović United States

João Ribas

880 ×0.8

141 ×0.6

273 ×1.3

BIOMA

183 ×1.1

SURGE

75 ×0.5

CMN

Citations per year, relative to João Ribas João Ribas (= 1×) peers Šeila Selimović

Countries citing papers authored by João Ribas

Since Specialization

Citations

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

Fields of papers citing papers by João Ribas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Ribas

This figure shows the co-authorship network connecting the top 25 collaborators of João Ribas. A scholar is included among the top collaborators of João Ribas 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 João Ribas. João Ribas 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

Ribas, João, et al.. (2018). Microphysiological systems: analysis of the current status, challenges and commercial future. PubMed. 1. 1–1. 14 indexed citations

Hou, Xu, Yu Shrike Zhang, Grissel Trujillo‐de Santiago, et al.. (2017). Interplay between materials and microfluidics. Nature Reviews Materials. 2(5). 337 indexed citations breakdown →

Sarma, Aartik, João Ribas, Babak Movassaghi, et al.. (2017). A Systems Approach to Healthcare Innovation Using the MIT Hacking Medicine Model. Cell Systems. 5(1). 6–10. 17 indexed citations

Ribas, João, et al.. (2017). Planning an innovation marathon at an infectious disease conference with results from the International Meeting on Emerging Diseases and Surveillance 2016 Hackathon. International Journal of Infectious Diseases. 65. 93–97. 15 indexed citations

Ribas, João, Yu Shrike Zhang, Patrícia R. Pitrez, et al.. (2017). Biomechanical Strain Exacerbates Inflammation on a Progeria‐on‐a‐Chip Model. Small. 13(15). 81 indexed citations

Hou, Xu, Yu Shrike Zhang, Grissel Trujillo‐de Santiago, et al.. (2017). Erratum: Interplay between materials and microfluidics. Nature Reviews Materials. 2(5). 8 indexed citations

Ribas, João, Yu Shrike Zhang, Patrícia R. Pitrez, et al.. (2017). Organ‐On‐A‐Chip: Biomechanical Strain Exacerbates Inflammation on a Progeria‐on‐a‐Chip Model (Small 15/2017). Small. 13(15). 3 indexed citations

Ribas, João, H. Sadeghi, Amir Manbachi, et al.. (2016). Cardiovascular Organ-on-a-Chip Platforms for Drug Discovery and Development. PubMed. 2(2). 82–96. 120 indexed citations

Alves, Cecília J., Inês S. Alencastre, Estrela Neto, et al.. (2016). Bone Injury and Repair Trigger Central and Peripheral NPY Neuronal Pathways. PLoS ONE. 11(11). e0165465–e0165465. 18 indexed citations

10.

Newman, Peter, Pamela L. Graney, Joselito M. Razal, et al.. (2016). Relationship between nanotopographical alignment and stem cell fate with live imaging and shape analysis. Scientific Reports. 6(1). 37909–37909. 54 indexed citations

11.

Zhang, Weijia, Yu Shrike Zhang, Syeda Mahwish Bakht, et al.. (2016). Elastomeric free-form blood vessels for interconnecting organs on chip systems. Lab on a Chip. 16(9). 1579–1586. 87 indexed citations

12.

Alemdar, Neslihan, Jeroen Leijten, Gulden Camci‐Unal, et al.. (2016). Oxygen-Generating Photo-Cross-Linkable Hydrogels Support Cardiac Progenitor Cell Survival by Reducing Hypoxia-Induced Necrosis. ACS Biomaterials Science & Engineering. 3(9). 1964–1971. 88 indexed citations

13.

Zhang, Yu Shrike, João Ribas, Julio Aleman, et al.. (2016). Google Glass-Directed Monitoring and Control of Microfluidic Biosensors and Actuators. Scientific Reports. 6(1). 22237–22237. 37 indexed citations

14.

Ribas, João, et al.. (2016). Platelet-Rich Blood Derivatives for Stem Cell-Based Tissue Engineering and Regeneration. Current Stem Cell Reports. 2(1). 33–42. 87 indexed citations

15.

Zhang, Yu Shrike, João Ribas, Akhtar Nadhman, et al.. (2015). A cost-effective fluorescence mini-microscope for biomedical applications. Lab on a Chip. 15(18). 3661–3669. 72 indexed citations

16.

Bhise, Nupura S., João Ribas, Vijayan Manoharan, et al.. (2014). Organ-on-a-chip platforms for studying drug delivery systems. Journal of Controlled Release. 190. 82–93. 292 indexed citations

17.

Annabi, Nasim, Šeila Selimović, Juan Pablo Acevedo, et al.. (2013). Hydrogel-coated microfluidic channels for cardiomyocyte culture. Lab on a Chip. 13(18). 3569–3569. 103 indexed citations

18.

Hoffmann, Jens, et al.. (2013). Ten Fundamental Questions of Curating. American Journal of Hypertension. 15(11). 946–52. 2 indexed citations

19.

Neto, Estrela, et al.. (2012). Disclosing the underlying interaction between bone and peripheral nervous system: Optimization of coculture systems. Bone. 50. S113–S113. 1 indexed citations

20.

Ribas, João, et al.. (1981). A morphological and electrophysiological study of nigrotectal pathway in the rat.. PubMed. 37(1). 45–52. 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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