Fátima Fernández

679 citations
15 papers · 544 · h-index 11

Impact in

Papers in

    • Plasmonic and Surface Plasmon Research 8
    • Biosensors and Analytical Detection 4
    • Advanced biosensing and bioanalysis techniques 6
    • Advanced Biosensing Techniques and Applications 2

Fátima Fernández

14 papers receiving 531 citations

Peers

Fátima Fernández
Comparison fields: 5 of 65
  • Biomedical Engineering 316
  • Analytical Chemistry 50
  • Molecular Biology 330
  • Bioengineering 24
  • Pharmacology 64
Replace Ghulam Mujtaba Mari with:
Ghulam Mujtaba Mari China
Javier Adrián Spain
Haimin Zou China
Naifeng Xu China
Bolong Fang China
Nadezhda A. Taranova Russia
Tie Han China
Anna N. Berlina Russia
Wenwei Ma China
Fátima Fernández relative to Ghulam Mujtaba Mari China Ghulam Mujtaba Mari's profile →
Citations per field
00.5×10×15×19.5×
Ghulam Mujtaba Mari · 1×
Citations per year

Countries citing papers authored by Fátima Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Fátima Fernández, 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 Fátima Fernández Line = papers co-authored together Fátima Fernández links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010144
2 201283
3 201172
4 201272
5 201764
6 200826
7 201419
8 201614
9 201712
10 201411
11 201610
12 20187
13 20176
14 20194
15
From the Euro-Arab Dialogue to a Euro-Arab Summit: Revamping the EU-Arab Partnership
20180

About Fátima Fernández

Fátima Fernández is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Pollution and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 544 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Photonic and Optical Devices (4 papers), Biosensors and Analytical Detection (4 papers), Advanced Fiber Optic Sensors (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biomedical Engineering (316 citations), Analytical Chemistry (50 citations), Molecular Biology (330 citations), Bioengineering (24 citations) and Pharmacology (64 citations). Fátima Fernández has collaborated with scholars based in Spain, Netherlands and Czechia. Frequent co-authors include Francisco Sánchez‐Baeza, M.‐Pilar Marco, Jiřı́ Homola, Marek Piliarik, Kateřina Hegnerová, Javier Adrián, Daniel G. Pinacho, Aaron C. Asensio, Edurne Tellechea and José F. Morán. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biosensors and Bioelectronics, Sensors, Sensors and Actuators B Chemical and IEEE Transactions on Nanotechnology.

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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