Edurne Tellechea

22 total papers · 469 total citations
16 papers, 386 citations indexed

About

Edurne Tellechea is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Edurne Tellechea has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Edurne Tellechea's work include Electrochemical Analysis and Applications (4 papers), Electrochemical sensors and biosensors (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Edurne Tellechea is often cited by papers focused on Electrochemical Analysis and Applications (4 papers), Electrochemical sensors and biosensors (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Edurne Tellechea collaborates with scholars based in Spain, United States and Germany. Edurne Tellechea's co-authors include Diethelm Johannsmann, Ilya Reviakine, Nicole F. Steinmetz, Ralf P. Richter, José F. Morán, Aaron C. Asensio, Fátima Fernández, Marta Gallego, Kimberly Hamad‐Schifferli and Kenneth J. Wilson and has published in prestigious journals such as The Journal of Chemical Physics, Langmuir and International Journal of Molecular Sciences.

In The Last Decade

Edurne Tellechea

16 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Edurne Tellechea 192 171 76 73 70 16 386
Alain Théretz 147 0.8× 194 1.1× 81 1.1× 77 1.1× 96 1.4× 15 430
Aljaž Velikonja 138 0.7× 115 0.7× 73 1.0× 50 0.7× 47 0.7× 12 342
Rubens A. Silva 201 1.0× 156 0.9× 80 1.1× 110 1.5× 54 0.8× 12 410
Eric E. Ross 192 1.0× 236 1.4× 74 1.0× 62 0.8× 69 1.0× 17 400
Lifang Niu 178 0.9× 136 0.8× 36 0.5× 57 0.8× 94 1.3× 15 355
Juan F. González-Martínez 123 0.6× 108 0.6× 98 1.3× 100 1.4× 51 0.7× 27 360
Zhen Xu 190 1.0× 146 0.9× 27 0.4× 107 1.5× 93 1.3× 18 345
Suping Zheng 112 0.6× 142 0.8× 47 0.6× 72 1.0× 114 1.6× 15 431
Werner Hickel 169 0.9× 138 0.8× 103 1.4× 160 2.2× 61 0.9× 18 365
Stefan Fossati 251 1.3× 128 0.7× 57 0.8× 93 1.3× 52 0.7× 23 370

Countries citing papers authored by Edurne Tellechea

Since Specialization
Citations

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

Fields of papers citing papers by Edurne Tellechea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edurne Tellechea

This figure shows the co-authorship network connecting the top 25 collaborators of Edurne Tellechea. A scholar is included among the top collaborators of Edurne Tellechea 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 Edurne Tellechea. Edurne Tellechea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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