Beatriz Mayol

462 citations
15 papers · 320 · 1 hit paper · h-index 8

Impact in

Papers in

Beatriz Mayol

15 papers receiving 319 citations

Beatriz Mayol's Hit Papers

Diving into Sweat: Advances, Challenges, and Future Directions in Wearable Sweat Sensing 2024 · 105 citations
1050+1Years since publication255075100

Peers

Beatriz Mayol
Comparison fields: 5 of 51
  • Electrochemistry 35
  • Bioengineering 28
  • Biomedical Engineering 177
  • Molecular Biology 144
  • Polymers and Plastics 23
Replace Feijun Zhao with:
Feijun Zhao China
Myung-Sic Chae South Korea
Wei-En Hsu Taiwan
Dhananjaya Dendukuri India
Yolanda H. Tennico United States
Venkataramani Anandan United States
Minu Mathew India
Patrik Aspermair Austria
Anna Go South Korea
Beatriz Mayol relative to Feijun Zhao China Feijun Zhao's profile →
Citations per field
00.5×2.5×
Feijun Zhao · 1×
Citations per year

Countries citing papers authored by Beatriz Mayol

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Mayol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beatriz Mayol, 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 Beatriz Mayol Line = papers co-authored together Beatriz Mayol links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Diving into Sweat: Advances, Challenges, and Future Directions in Wearable Sweat Sensing
Hit paper breakdown →
2024105
2 202245
3 202143
4 202143
5 202024
6 202413
7 202212
8 20217
9 20256
10 20225
11 20255
12 20224
13 20234
14 20243
15 20251

About Beatriz Mayol

Beatriz Mayol is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Bioengineering, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (5 papers), Electrochemical sensors and biosensors (4 papers), Analytical Chemistry and Sensors (2 papers), Pickering emulsions and particle stabilization (2 papers), Molecular Communication and Nanonetworks (2 papers), Molecular Junctions and Nanostructures (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). The work is most often cited by research in Electrochemistry (35 citations), Bioengineering (28 citations), Biomedical Engineering (177 citations), Molecular Biology (144 citations) and Polymers and Plastics (23 citations). Beatriz Mayol has collaborated with scholars based in Spain, United States and Hong Kong. Frequent co-authors include Anabel Villalonga, Reynaldo Villalonga, Juliane R. Sempionatto, Wei Gao, José A. Lasalde‐Ramírez, Yu Song, Diana Vilela, Alfredo Sánchez, Concepción Parrado and A.J. Reviejo. Their work appears in journals such as Biosensors and Bioelectronics, Biosensors, Nanoscale, Journal of Materials Chemistry B and Microchimica Acta.

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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