Jorge T. Dias

18 total papers · 784 total citations
12 papers, 610 citations indexed

About

Jorge T. Dias is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jorge T. Dias has authored 12 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Biomaterials. Recurrent topics in Jorge T. Dias's work include Advanced biosensing and bioanalysis techniques (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers) and Biosensors and Analytical Detection (3 papers). Jorge T. Dias is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers) and Biosensors and Analytical Detection (3 papers). Jorge T. Dias collaborates with scholars based in Sweden, Spain and Portugal. Jorge T. Dias's co-authors include Jesús M. de la Fuente, María Moros, Pedro V. Baptista, João Conde, Valeria Grazú, Pablo del Pino, Bruno Hernáez, Elina Garet, Berta Sáez and África González‐Fernández and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Scientific Reports.

In The Last Decade

Jorge T. Dias

12 papers receiving 604 citations

Author Peers

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

Author Last Decade Papers Cites
Jorge T. Dias 318 262 246 159 111 12 610
Lisa A. Vathy 335 1.1× 185 0.7× 254 1.0× 311 2.0× 93 0.8× 8 654
Lin Zhu 217 0.7× 207 0.8× 258 1.0× 289 1.8× 128 1.2× 21 684
Krzysztof Sztandera 299 0.9× 181 0.7× 217 0.9× 226 1.4× 134 1.2× 12 642
Allen L. Chen 279 0.9× 169 0.6× 214 0.9× 197 1.2× 87 0.8× 11 599
Jiangshan Wan 391 1.2× 156 0.6× 227 0.9× 245 1.5× 61 0.5× 14 666
Bakul Gupta 275 0.9× 301 1.1× 205 0.8× 182 1.1× 40 0.4× 16 651
Xiangjun Han 303 1.0× 141 0.5× 169 0.7× 216 1.4× 59 0.5× 23 632
Lauri Paasonen 240 0.8× 232 0.9× 269 1.1× 96 0.6× 127 1.1× 14 561
Xing Sun 320 1.0× 214 0.8× 258 1.0× 150 0.9× 47 0.4× 15 603
Grazyna Stepien 428 1.3× 176 0.7× 252 1.0× 244 1.5× 147 1.3× 9 656

Countries citing papers authored by Jorge T. Dias

Since Specialization
Citations

This map shows the geographic impact of Jorge T. Dias'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 Jorge T. Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge T. Dias more than expected).

Fields of papers citing papers by Jorge T. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge T. Dias. 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 Jorge T. Dias. The network helps show where Jorge T. Dias may publish in the future.

Co-authorship network of co-authors of Jorge T. Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge T. Dias. A scholar is included among the top collaborators of Jorge T. Dias 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 Jorge T. Dias. Jorge T. Dias 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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