Diana Lousa

898 total citations
37 papers, 596 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 596 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, Susana Barreiros, Carlos A. M. Afonso, Joaquim M. S. Cabral, Ana F. Sequeira, Nuno M. T. Lourenço, 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 592 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 388 130 54 51 49 37 596
Alexey G. Gerbst 450 1.2× 60 0.5× 45 0.8× 24 0.5× 35 0.7× 55 835
Lindsey Anderson 327 0.8× 102 0.8× 65 1.2× 6 0.1× 46 0.9× 37 737
Peter Agback 564 1.5× 134 1.0× 28 0.5× 8 0.2× 35 0.7× 59 967
Evan P. Lloyd 180 0.5× 123 0.9× 133 2.5× 13 0.3× 10 0.2× 11 442
Jakub Suchodolski 83 0.2× 151 1.2× 74 1.4× 50 1.0× 11 0.2× 28 379
Aneesh Chandran 196 0.5× 134 1.0× 83 1.5× 115 2.3× 17 0.3× 20 458
Jos J. A. G. Kamps 313 0.8× 71 0.5× 77 1.4× 5 0.1× 19 0.4× 21 662
Philipp Uhl 424 1.1× 85 0.7× 70 1.3× 3 0.1× 42 0.9× 58 876
Elnaz Mehdizadeh Aghdam 212 0.5× 122 0.9× 51 0.9× 4 0.1× 20 0.4× 27 436

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

20 of 20 papers shown
1.
Lima, Luı́s M. P., Dalila Mil‐Homens, Catarina Amaral, et al.. (2025). Caspofungin binding to iron compromises its antifungal efficacy against Candida albicans. Communications Biology. 8(1). 1438–1438.
2.
Rocha, Miguel, et al.. (2025). Machine and deep learning to predict viral fusion peptides. Computational and Structural Biotechnology Journal. 27. 692–704. 1 indexed citations
3.
Sveshnikova, Anastasia, Vassily Hatzimanikatis, Paulo Vilaça, et al.. (2024). Computer-aided design and implementation of efficient biosynthetic pathways to produce high added-value products derived from tyrosine in Escherichia coli. Frontiers in Bioengineering and Biotechnology. 12. 1360740–1360740. 3 indexed citations
4.
Melo, Manuel N., et al.. (2024). Viral entry mechanisms: the role of molecular simulation in unlocking a key step in viral infections. FEBS Open Bio. 15(2). 269–284.
5.
Moura, Margarida M., Teresa Pereira, Rafael Cabrera, et al.. (2024). CHEK2 germline variants identified in familial nonmedullary thyroid cancer lead to impaired protein structure and function. Journal of Biological Chemistry. 300(3). 105767–105767. 2 indexed citations
6.
Moura, Margarida M., Marta Pojo, Rafael Cabrera, et al.. (2024). Identification of novel candidate predisposing genes in familial nonmedullary thyroid carcinoma implicating DNA damage repair pathways. International Journal of Cancer. 156(1). 130–144. 2 indexed citations
7.
Marques, Marta C., et al.. (2022). The Importance of Lipid Conjugation on Anti-Fusion Peptides against Nipah Virus. Biomedicines. 10(3). 703–703. 2 indexed citations
8.
Saramago, Margarida, Cátia Bárria, Susana Domingues, et al.. (2022). The nsp15 Nuclease as a Good Target to Combat SARS-CoV-2: Mechanism of Action and Its Inactivation with FDA-Approved Drugs. Microorganisms. 10(2). 342–342. 19 indexed citations
9.
Saramago, Margarida, Cátia Bárria, Sandra C. Viegas, et al.. (2021). New targets for drug design: importance of nsp14/nsp10 complex formation for the 3’‐5’ exoribonucleolytic activity on SARS‐CoV‐2. FEBS Journal. 288(17). 5130–5147. 45 indexed citations
10.
Lousa, Diana & Cláudio M. Soares. (2021). Molecular mechanisms of the influenza fusion peptide: insights from experimental and simulation studies. FEBS Open Bio. 11(12). 3253–3261. 13 indexed citations
12.
Martins, Maria C., Célia V. Romão, Cláudio M. Soares, et al.. (2021). The Amino Acids Motif -32GSSYN36- in the Catalytic Domain of E. coli Flavorubredoxin NO Reductase Is Essential for Its Activity. Catalysts. 11(8). 926–926. 1 indexed citations
13.
Alenquer, Marta, Filipe Ferreira, Diana Lousa, et al.. (2021). Signatures in SARS-CoV-2 spike protein conferring escape to neutralizing antibodies. PLoS Pathogens. 17(8). e1009772–e1009772. 61 indexed citations
14.
Rocha, Miguel, et al.. (2021). ViralFP: A Web Application of Viral Fusion Proteins. SHILAP Revista de lepidopterología. 3. 722392–722392. 5 indexed citations
15.
16.
Lousa, Diana, et al.. (2020). Studying O2 pathways in [NiFe]- and [NiFeSe]-hydrogenases. Scientific Reports. 10(1). 10540–10540. 6 indexed citations
17.
Lousa, Diana, Axel Hollmann, Ana C. Coelho, et al.. (2018). Study of the interactions of bovine serum albumin with a molybdenum(II) carbonyl complex by spectroscopic and molecular simulation methods. PLoS ONE. 13(9). e0204624–e0204624. 14 indexed citations
18.
Velada, Isabel, Dariusz Grzebelus, Diana Lousa, et al.. (2018). AOX1-Subfamily Gene Members in Olea europaea cv. “Galega Vulgar”—Gene Characterization and Expression of Transcripts during IBA-Induced in Vitro Adventitious Rooting. International Journal of Molecular Sciences. 19(2). 597–597. 18 indexed citations
19.
Duarte, Américo G., Teresa Catarino, Gaye F. White, et al.. (2018). An electrogenic redox loop in sulfate reduction reveals a likely widespread mechanism of energy conservation. Nature Communications. 9(1). 5448–5448. 29 indexed citations
20.
Lousa, Diana, António M. Baptista, & Cláudio M. Soares. (2010). Structural determinants of ligand imprinting: A molecular dynamics simulation study of subtilisin in aqueous and apolar solvents. Protein Science. 20(2). 379–386. 12 indexed citations

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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