Juan Canoura

35 total papers · 1.8k total citations
34 papers, 1.4k citations indexed

About

Juan Canoura is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Juan Canoura has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Juan Canoura's work include Advanced biosensing and bioanalysis techniques (33 papers), DNA and Nucleic Acid Chemistry (12 papers) and Biosensors and Analytical Detection (12 papers). Juan Canoura is often cited by papers focused on Advanced biosensing and bioanalysis techniques (33 papers), DNA and Nucleic Acid Chemistry (12 papers) and Biosensors and Analytical Detection (12 papers). Juan Canoura collaborates with scholars based in United States, China and France. Juan Canoura's co-authors include Yi Xiao, Obtin Alkhamis, Haixiang Yu, Yingzhu Liu, FengFu Fu, Zongwen Wang, Xinhui Lou, Weijuan Yang, Linlin Wang and Yingping Luo and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Juan Canoura

33 papers receiving 1.4k citations

Hit Papers

Advances and Challenges i... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Juan Canoura 1.2k 638 301 154 131 34 1.4k
Obtin Alkhamis 1.3k 1.1× 673 1.1× 328 1.1× 158 1.0× 131 1.0× 37 1.5k
Asma Verdian 963 0.8× 595 0.9× 244 0.8× 147 1.0× 235 1.8× 43 1.3k
Hunho Jo 1.4k 1.1× 803 1.3× 249 0.8× 146 0.9× 294 2.2× 23 1.8k
Huimin Deng 1.2k 1.0× 537 0.8× 266 0.9× 200 1.3× 292 2.2× 73 1.8k
Tian Lan 1.2k 1.0× 666 1.0× 150 0.5× 132 0.9× 266 2.0× 35 1.7k
Zahra Khoshbin 899 0.7× 565 0.9× 190 0.6× 119 0.8× 248 1.9× 65 1.2k
Paloma de Prada 1.1k 0.9× 512 0.8× 220 0.7× 112 0.7× 129 1.0× 15 1.3k
Ahmad Sarreshtehdar Emrani 1.4k 1.1× 838 1.3× 370 1.2× 147 1.0× 329 2.5× 30 1.7k
Gaojian Yang 811 0.7× 565 0.9× 291 1.0× 68 0.4× 268 2.0× 19 1.3k
Wen Yun 1.2k 0.9× 723 1.1× 245 0.8× 134 0.9× 266 2.0× 59 1.4k

Countries citing papers authored by Juan Canoura

Since Specialization
Citations

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

Fields of papers citing papers by Juan Canoura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Canoura

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