Diana Lousa

60 total papers · 891 total citations
37 papers, 587 citations indexed

About

Diana Lousa is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Diana Lousa has authored 37 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Diana Lousa's work include Influenza Virus Research Studies (8 papers), Protein Structure and Dynamics (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Diana Lousa is often cited by papers focused on Influenza Virus Research Studies (8 papers), Protein Structure and Dynamics (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Diana Lousa collaborates with scholars based in Portugal, United Kingdom and United States. Diana Lousa's co-authors include Cláudio M. Soares, António M. Baptista, Bruno L. Victor, Ana F. Sequeira, Joaquim M. S. Cabral, Carlos A. M. Afonso, Nuno M. T. Lourenço, Susana Barreiros, Jorge M. Antunes and Sara R. R. Campos and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Diana Lousa

35 papers receiving 583 citations

Author Peers

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

Author Last Decade Papers Cites
Diana Lousa 384 128 53 51 49 37 587
Jolanta Grzybowska 388 1.0× 126 1.0× 28 0.5× 10 0.2× 11 0.2× 26 674
Miloš Lukáč 165 0.4× 23 0.2× 34 0.6× 21 0.4× 15 0.3× 41 620
Stefan A. Oelmeier 363 0.9× 48 0.4× 18 0.3× 19 0.4× 31 0.6× 26 615
Parag Acharya 335 0.9× 23 0.2× 16 0.3× 19 0.4× 19 0.4× 45 639
Antonietta M. Lillo 453 1.2× 41 0.3× 46 0.9× 9 0.2× 30 0.6× 23 615
Christoph Wiedemann 326 0.8× 31 0.2× 18 0.3× 7 0.1× 69 1.4× 31 578
Jos J. A. G. Kamps 310 0.8× 70 0.5× 77 1.5× 5 0.1× 18 0.4× 21 651
Francesco Frigerio 261 0.7× 52 0.4× 10 0.2× 18 0.4× 14 0.3× 24 610
Yoshinari Yamamoto 236 0.6× 55 0.4× 19 0.4× 4 0.1× 31 0.6× 58 651
Deeptak Verma 422 1.1× 56 0.4× 31 0.6× 4 0.1× 33 0.7× 30 648

Countries citing papers authored by Diana Lousa

Since Specialization
Citations

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

Fields of papers citing papers by Diana Lousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Lousa

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