Tomás Dias

405 total citations · 1 hit paper
7 papers, 268 citations indexed

About

Tomás Dias is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Tomás Dias has authored 7 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Cancer Research. Recurrent topics in Tomás Dias's work include Advanced biosensing and bioanalysis techniques (5 papers), Extracellular vesicles in disease (3 papers) and Biosensors and Analytical Detection (3 papers). Tomás Dias is often cited by papers focused on Advanced biosensing and bioanalysis techniques (5 papers), Extracellular vesicles in disease (3 papers) and Biosensors and Analytical Detection (3 papers). Tomás Dias collaborates with scholars based in Portugal, Sweden and Denmark. Tomás Dias's co-authors include Nasibeh Karimi, Jan Lötvall, Cecilia Lässer, Razieh Dalirfardouei, P. P. Freitas, Susana Cardoso, J. Gaspar, João Valadeiro, Diana C. Leitão and Vânia Silvério and has published in prestigious journals such as RSC Advances, Journal of Physics D Applied Physics and The Analyst.

In The Last Decade

Tomás Dias

7 papers receiving 265 citations

Hit Papers

Tetraspanins distinguish separate extracellular vesicle s... 2022 2026 2023 2024 2022 40 80 120

Peers

Tomás Dias
Comparison fields: 5 of 66
  • Molecular Biology 169
  • Biomedical Engineering 86
  • Cancer Research 66
  • Electrical and Electronic Engineering 48
  • Atomic and Molecular Physics, and Optics 40
Replace Shixiong Deng with:
Shixiong Deng China
Melissa C. Piontek Netherlands
Shu Kan United States
Nan Xia China
Susanna M. Früh Germany
Vanessa Manni Italy
Kathleen S. Christine United States
Michael J. Siedlik United States
Andreas Karner Austria
Keisuke Hasegawa United States
Shixiong Deng China View profile →
Citations per field, relative to Tomás Dias
Tomás Dias · 1×
Citations per year, relative to Tomás Dias
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Countries citing papers authored by Tomás Dias

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Dias

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 2
2
Tetraspanins distinguish separate extracellular vesicle subpopulations in human serum and plasma – Contributions of platelet extracellular vesicles in plasma samples breakdown →
139
3 11
4 79
5 1
6 35
7
Implementing a strategy for detection of cell-free DNA fragments using magnetoresistive sensors: A translational application in cancer diagnostics using ALU elements
1

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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