Pedro Pais

1.4k total citations
25 papers, 954 citations indexed

About

Pedro Pais is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Pedro Pais has authored 25 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 13 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Pedro Pais's work include Antifungal resistance and susceptibility (20 papers), Fungal Infections and Studies (10 papers) and Fungal and yeast genetics research (9 papers). Pedro Pais is often cited by papers focused on Antifungal resistance and susceptibility (20 papers), Fungal Infections and Studies (10 papers) and Fungal and yeast genetics research (9 papers). Pedro Pais collaborates with scholars based in Portugal, Japan and Ireland. Pedro Pais's co-authors include Miguel C. Teixeira, Mafalda Cavalheiro, V. Vitorino de Almeida, Melike Balikoglu-Yilmaz, Mónica Galocha, Catarina Costa, Romeu Viana, Pedro T. Monteiro, Isabel Sá‐Correia and Hiroji Chibana and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Pedro Pais

25 papers receiving 946 citations

Peers

Pedro Pais
Audrey L. Atkin United States
Pedro Pais
Citations per year, relative to Pedro Pais Pedro Pais (= 1×) peers Audrey L. Atkin

Countries citing papers authored by Pedro Pais

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Pais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Pais

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Pais. A scholar is included among the top collaborators of Pedro Pais 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 Pedro Pais. Pedro Pais 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.
Galocha, Mónica, Romeu Viana, Pedro Pais, et al.. (2022). Genomic evolution towards azole resistance in Candida glabrata clinical isolates unveils the importance of CgHxt4/6/7 in azole accumulation. Communications Biology. 5(1). 1118–1118. 4 indexed citations
2.
Pais, Pedro, Mónica Galocha, Azusa Takahashi‐Nakaguchi, Hiroji Chibana, & Miguel C. Teixeira. (2022). Multiple genome analysis of Candida glabrata clinical isolates renders new insights into genetic diversity and drug resistance determinants. Microbial Cell. 9(11). 174–189. 10 indexed citations
3.
Pais, Pedro, J. S. Oliveira, Romeu Viana, et al.. (2022). Prediction of Gene and Genomic Regulation in Candida Species, Using the PathoYeastract Database: A Comparative Genomics Approach. Methods in molecular biology. 2477. 419–437. 1 indexed citations
4.
Cavalheiro, Mafalda, Cécile Formosa‐Dague, Pedro Pais, et al.. (2021). From the first touch to biofilm establishment by the human pathogen Candida glabrata: a genome-wide to nanoscale view. Communications Biology. 4(1). 886–886. 13 indexed citations
5.
Cavalheiro, Mafalda, Daniela Romão, Dalila Mil‐Homens, et al.. (2021). Role of CgTpo4 in Polyamine and Antimicrobial Peptide Resistance: Determining Virulence in Candida glabrata. International Journal of Molecular Sciences. 22(3). 1376–1376. 4 indexed citations
7.
Pais, Pedro, V. Vitorino de Almeida, Melike Balikoglu-Yilmaz, & Miguel C. Teixeira. (2020). Saccharomyces boulardii: What Makes It Tick as Successful Probiotic?. Journal of Fungi. 6(2). 78–78. 194 indexed citations
8.
Pais, Pedro, Mónica Galocha, Romeu Viana, et al.. (2020). Candida glabrata Transcription Factor Rpn4 Mediates Fluconazole Resistance through Regulation of Ergosterol Biosynthesis and Plasma Membrane Permeability. Antimicrobial Agents and Chemotherapy. 64(9). 22 indexed citations
9.
Galocha, Mónica, et al.. (2019). Divergent Approaches to Virulence in C. albicans and C. glabrata: Two Sides of the Same Coin. International Journal of Molecular Sciences. 20(9). 2345–2345. 68 indexed citations
10.
Pais, Pedro, Mónica Galocha, & Miguel C. Teixeira. (2019). Genome-Wide Response to Drugs and Stress in the Pathogenic Yeast Candida glabrata. Progress in molecular and subcellular biology. 58. 155–193. 12 indexed citations
11.
Pais, Pedro, Mónica Galocha, Isabel M. Miranda, Acácio G. Rodrigues, & Miguel C. Teixeira. (2019). Draft Genome Sequences of Three Clinical Isolates of the Pathogenic Yeast Candida glabrata. Microbiology Resource Announcements. 8(35). 2 indexed citations
12.
Pais, Pedro, et al.. (2019). Microevolution of the pathogenic yeasts Candida albicans and Candida glabrata during antifungal therapy and host infection. Microbial Cell. 6(3). 142–159. 39 indexed citations
13.
Cavalheiro, Mafalda, Pedro Pais, Mónica Galocha, & Miguel C. Teixeira. (2018). Host-Pathogen Interactions Mediated by MDR Transporters in Fungi: As Pleiotropic as it Gets!. Genes. 9(7). 332–332. 28 indexed citations
14.
Romão, Daniela, Mafalda Cavalheiro, Dalila Mil‐Homens, et al.. (2017). A New Determinant of Candida glabrata Virulence: The Acetate Exporter CgDtr1. Frontiers in Cellular and Infection Microbiology. 7. 473–473. 14 indexed citations
15.
Teixeira, Miguel C., Pedro T. Monteiro, Margarida Palma, et al.. (2017). YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae. Nucleic Acids Research. 46(D1). D348–D353. 121 indexed citations
16.
Monteiro, Pedro T., et al.. (2016). The PathoYeastract database: an information system for the analysis of gene and genomic transcription regulation in pathogenic yeasts. Nucleic Acids Research. 45(D1). D597–D603. 31 indexed citations
17.
Pais, Pedro, Carla Pires, Catarina Costa, et al.. (2016). Membrane Proteomics Analysis of the Candida glabrata Response to 5-Flucytosine: Unveiling the Role and Regulation of the Drug Efflux Transporters CgFlr1 and CgFlr2. Frontiers in Microbiology. 7. 2045–2045. 25 indexed citations
18.
Pais, Pedro, Catarina Costa, Mafalda Cavalheiro, Daniela Romão, & Miguel C. Teixeira. (2016). Transcriptional Control of Drug Resistance, Virulence and Immune System Evasion in Pathogenic Fungi: A Cross-Species Comparison. Frontiers in Cellular and Infection Microbiology. 6. 131–131. 23 indexed citations
19.
Pais, Pedro, Catarina Costa, Carla Pires, et al.. (2015). Membrane Proteome-Wide Response to the Antifungal Drug Clotrimazole in Candida glabrata: Role of the Transcription Factor CgPdr1 and the Drug:H+ Antiporters CgTpo1_1 and CgTpo1_2. Molecular & Cellular Proteomics. 15(1). 57–72. 36 indexed citations
20.
Costa, Catarina, Pedro Pais, Mafalda Cavalheiro, et al.. (2015). New Mechanisms of Flucytosine Resistance in C. glabrata Unveiled by a Chemogenomics Analysis in S. cerevisiae. PLoS ONE. 10(8). e0135110–e0135110. 39 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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