Thaina Miranda da Costa
- Infectious Diseases top 10%
- Molecular Biology
- Molecular Medicine top 5%
- Clinical Biochemistry top 5%
- Pharmacology
- Co-authors
- Henry F. ChambersSom S. ChatterjeeKátia Regina Netto dos SantosJoan A. GeogheganLi BasuinoStephanie M. HamiltonFernanda Sampaio CavalcanteYves F. Dufrêne
- Topics
- Antimicrobial Resistance in Staphylococcus (11 papers)Bacterial Identification and Susceptibility Testing (9 papers)Bacterial biofilms and quorum sensing (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Thaina Miranda da Costa
16 papers receiving 307 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 202
- Molecular Biology 164
- Molecular Medicine 74
- Clinical Biochemistry 73
- Pharmacology 36
Countries citing papers authored by Thaina Miranda da Costa
This map shows the geographic impact of Thaina Miranda da Costa'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 Thaina Miranda da Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thaina Miranda da Costa more than expected).
Fields of papers citing papers by Thaina Miranda da Costa
This network shows the impact of papers produced by Thaina Miranda da Costa. 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 Thaina Miranda da Costa. The network helps show where Thaina Miranda da Costa may publish in the future.
Co-authorship network of co-authors of Thaina Miranda da Costa
This figure shows the co-authorship network connecting the top 25 collaborators of Thaina Miranda da Costa. A scholar is included among the top collaborators of Thaina Miranda da Costa 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 Thaina Miranda da Costa. Thaina Miranda da Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 42 | |
| 6 | 13 | |
| 7 | 39 | |
| 8 | 55 | |
| 9 | 31 | |
| 10 | 20 | |
| 11 | 26 | |
| 12 | 35 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 4 |
About Thaina Miranda da Costa
Thaina Miranda da Costa is a scholar working on Clinical Biochemistry, Molecular Medicine and Infectious Diseases, having authored 16 papers that have together received 314 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Bacterial biofilms and quorum sensing (7 papers). The work is most often cited by research in Molecular Medicine (74 citations), Infectious Diseases (202 citations) and Clinical Biochemistry (73 citations). Thaina Miranda da Costa has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Henry F. Chambers, Som S. Chatterjee, Kátia Regina Netto dos Santos, Joan A. Geoghegan, Li Basuino, Stephanie M. Hamilton, Fernanda Sampaio Cavalcante, Yves F. Dufrêne, Aisling M. Towell and Simone Aranha Nouér. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.