Thaís Guimarães

3.3k citations
96 papers · 2.1k indexed · h-index 26
Topics
Antibiotic Resistance in Bacteria (31 papers)Antifungal resistance and susceptibility (23 papers)Pneumocystis jirovecii pneumonia detection and treatment (19 papers)

In The Last Decade

Thaís Guimarães

86 papers receiving 2.1k citations

Peers

Thaís Guimarães
Comparison fields: 5 of 112
  • Infectious Diseases 995
  • Epidemiology 928
  • Molecular Medicine 520
  • Applied Microbiology and Biotechnology 287
  • Pharmacology 219
Replace Maddalena Peghin with:
Maddalena Peghin Italy
Eduardo Rodríguez-Noriega Mexico
Pam Tolomeo United States
Εlias Iosifidis Greece
F. Jacobs Belgium
Jang Wook Sohn South Korea
Paul Lephart United States
Rola Husni Lebanon
Barbara Fiori Italy
Yu Mi Wi South Korea
Thaís Guimarães relative to Maddalena Peghin Italy Maddalena Peghin's profile →
Citations per field
00.5×6.5×
Maddalena Peghin · 1×
Citations per year

Countries citing papers authored by Thaís Guimarães

Since Specialization
Citations

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

Fields of papers citing papers by Thaís Guimarães

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thaís Guimarães

This figure shows the co-authorship network connecting the top 25 collaborators of Thaís Guimarães. A scholar is included among the top collaborators of Thaís Guimarães 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 Thaís Guimarães. Thaís Guimarães 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
#WorkIndexed citations
1 0
2 5
3 5
4 4
5 1
6 2
7 3
8 13
9 0
10 1
11 1
12 1
13 7
14 14
15 9
16 7
17 5
18 22
19 11
20 19

About Thaís Guimarães

Thaís Guimarães is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (31 papers), Antifungal resistance and susceptibility (23 papers) and Pneumocystis jirovecii pneumonia detection and treatment (19 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (287 citations), Molecular Medicine (520 citations) and Infectious Diseases (995 citations). Thaís Guimarães has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Arnaldo Lopes Colombo, Sílvia Figueiredo Costa, Anna S. Levin, Márcio Nucci, Flávio Queiroz‐Telles, Maristela Pinheiro Freire, Ícaro Boszczowski, Simone Aranha Nouér, Camila Rizek and Lauro Vieira Perdigão Neto. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Clinical Infectious Diseases.

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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