Federico Ribet

536 citations
13 papers · 441 · h-index 8

Impact in

Papers in

Federico Ribet

12 papers receiving 436 citations

Peers

Federico Ribet
Comparison fields: 5 of 68
  • Pharmaceutical Science 109
  • Molecular Medicine 34
  • Automotive Engineering 85
  • Bioengineering 38
  • Biomedical Engineering 244
Replace Hanjia Zheng with:
Hanjia Zheng Canada
Zhaoyang Guo China
Jaspreet Singh Kochhar Singapore
Yudai Ogawa Japan
Ashish Kalkal India
Mina Kwon South Korea
Giuseppe Francesco Racaniello Italy
Yuki Moro‐oka Japan
Thitikan Khampieng Thailand
Kacper Przykaza Poland
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Citations per field
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Citations per year

Countries citing papers authored by Federico Ribet

Since Specialization
Citations

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

Fields of papers citing papers by Federico Ribet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Federico Ribet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federico Ribet Line = papers co-authored together Federico Ribet links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2015158
2 2018144
3 201651
4 202338
5 201810
6 201810
7 20198
8 20188
9 20255
10 20204
11
Minimally invasive and volume-metered extraction of interstitial fluid:bloodless point-of-care sampling for bioanalyte detection
20204
12 20181
13 20250

About Federico Ribet

Federico Ribet is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Pharmaceutical Science, Bioengineering and Mechanical Engineering, having authored 13 papers that have together received 441 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (5 papers), Electrowetting and Microfluidic Technologies (4 papers), Advancements in Transdermal Drug Delivery (3 papers), Analytical Chemistry and Sensors (3 papers), Biosensors and Analytical Detection (2 papers), 3D Printing in Biomedical Research (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Pharmaceutical Science (109 citations), Molecular Medicine (34 citations), Automotive Engineering (85 citations), Bioengineering (38 citations) and Biomedical Engineering (244 citations). Federico Ribet has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Niclas Roxhed, Göran Stemme, Alshakim Nelson, Wei Han, Musan Zhang, Rudy J. Wojtecki, Leslie E. Thompson, Amanda C. Engler, Ankit Vora and Hareem Maune. Their work appears in journals such as Biosensors and Bioelectronics, Biomedical Microdevices, Applied Physics Letters, Advanced Functional Materials and Macromolecules.

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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