Marcelo M. Brígido
- Molecular Biology
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology top 10%
- Infectious Diseases top 10%
- Co-authors
- Andréa Queiróz MaranhãoB. David StollarTainá RaiolRoberto Coiti TogawaMaria Emília M. T. WalterJuliana Franco AlmeidaMaria Sueli Soares FelipeCarmela Dantas-Barbosa
- Topics
- Monoclonal and Polyclonal Antibodies Research (21 papers)Fungal Infections and Studies (12 papers)Glycosylation and Glycoproteins Research (7 papers)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Marcelo M. Brígido
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 618
- Epidemiology 317
- Radiology, Nuclear Medicine and Imaging 223
- Immunology 220
- Infectious Diseases 218
Countries citing papers authored by Marcelo M. Brígido
This map shows the geographic impact of Marcelo M. Brígido'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 Marcelo M. Brígido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo M. Brígido more than expected).
Fields of papers citing papers by Marcelo M. Brígido
This network shows the impact of papers produced by Marcelo M. Brígido. 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 Marcelo M. Brígido. The network helps show where Marcelo M. Brígido may publish in the future.
Co-authorship network of co-authors of Marcelo M. Brígido
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo M. Brígido. A scholar is included among the top collaborators of Marcelo M. Brígido 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 Marcelo M. Brígido. Marcelo M. Brígido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 46 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 10 | |
| 17 | Analise sistematica de EST no projeto genoma funcional e diferencial do Paracoccidioides brasiliensis | 1 |
| 18 | 14 | |
| 19 | 14 | |
| 20 | 16 |
About Marcelo M. Brígido
Marcelo M. Brígido is a scholar working on Horticulture, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (21 papers), Fungal Infections and Studies (12 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Virology (74 citations), Infectious Diseases (218 citations) and Immunology (220 citations). Marcelo M. Brígido has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Andréa Queiróz Maranhão, B. David Stollar, Tainá Raiol, Roberto Coiti Togawa, Maria Emília M. T. Walter, Juliana Franco Almeida, Maria Sueli Soares Felipe, Carmela Dantas-Barbosa, Michael Polymenis and Alessandra da Silva Dantas. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.
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.