Marcelo Caldeira Viegas
- Pharmacology top 5%
- Food Science top 5%
- Pathology and Forensic Medicine top 10%
- Plant Science
- Biomedical Engineering
- Co-authors
- Marta de Toledo BenassiDenisley Gentil BassoliJosiane Alessandra VignoliDaneysa Lahis KalschneMarinês Paula CorsoAgnes de Paula ScheerFernanda de CastilhosLouise Emy Kurozawa
- Topics
- Coffee research and impacts (10 papers)Tea Polyphenols and Effects (7 papers)Food Chemistry and Fat Analysis (3 papers)
- Partner nations
- BrazilSwitzerlandPortugal
In The Last Decade
Marcelo Caldeira Viegas
14 papers receiving 435 citations
Peers
Comparison fields: 5 of 63
- Pharmacology 272
- Food Science 206
- Pathology and Forensic Medicine 151
- Plant Science 75
- Biomedical Engineering 52
Countries citing papers authored by Marcelo Caldeira Viegas
This map shows the geographic impact of Marcelo Caldeira Viegas'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 Caldeira Viegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Caldeira Viegas more than expected).
Fields of papers citing papers by Marcelo Caldeira Viegas
This network shows the impact of papers produced by Marcelo Caldeira Viegas. 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 Caldeira Viegas. The network helps show where Marcelo Caldeira Viegas may publish in the future.
Co-authorship network of co-authors of Marcelo Caldeira Viegas
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Caldeira Viegas. A scholar is included among the top collaborators of Marcelo Caldeira Viegas 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 Caldeira Viegas. Marcelo Caldeira Viegas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 7 | |
| 4 | 32 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 31 | |
| 9 | 51 | |
| 10 | 1 | |
| 11 | Estudo de Caso: As Ferramentas da Qualidade Utilizadas no Laboratório de Análises Clínicas de Um Hospital Para a Otimização de Processos | 0 |
| 12 | 43 | |
| 13 | 193 | |
| 14 | 34 | |
| 15 | 14 |
About Marcelo Caldeira Viegas
Marcelo Caldeira Viegas is a scholar working on Pharmacology, Pathology and Forensic Medicine and Food Science, having authored 15 papers that have together received 456 indexed citations. Recurring topics across this work include Coffee research and impacts (10 papers), Tea Polyphenols and Effects (7 papers) and Food Chemistry and Fat Analysis (3 papers). The work is most often cited by research in Pharmacology (272 citations), Food Science (206 citations) and Pathology and Forensic Medicine (151 citations). Marcelo Caldeira Viegas has collaborated with scholars based in Brazil, Switzerland and Portugal. Frequent co-authors include Marta de Toledo Benassi, Denisley Gentil Bassoli, Josiane Alessandra Vignoli, Daneysa Lahis Kalschne, Marinês Paula Corso, Agnes de Paula Scheer, Fernanda de Castilhos, Louise Emy Kurozawa, Sílvio R. Andrietta and Romário Gava Ferrão. Their work appears in journals such as Food Research International, Journal of Food Engineering and LWT.
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.