Daniel Alves Ramiro
- Co-authors
- Oliveiro Guerreiro FilhoHelaine CarrerPaulo MazzaferaLázaro Eustáquio Pereira PeresGeraldo Felipe Ferreira e SilvaMariana da Silva AzevedoMike Anderson Corazón-GuivinFábio Tebaldi Silveira Nogueira
- Topics
- Coffee research and impacts (5 papers)Plant Gene Expression Analysis (4 papers)Cocoa and Sweet Potato Agronomy (3 papers)
- Partner nations
- BrazilFranceUnited States
In The Last Decade
Daniel Alves Ramiro
14 papers receiving 517 citations
Peers
Comparison fields: 5 of 53
- Plant Science 429
- Molecular Biology 300
- Insect Science 61
- Pharmacology 59
- Biotechnology 22
Countries citing papers authored by Daniel Alves Ramiro
This map shows the geographic impact of Daniel Alves Ramiro'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 Daniel Alves Ramiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Alves Ramiro more than expected).
Fields of papers citing papers by Daniel Alves Ramiro
This network shows the impact of papers produced by Daniel Alves Ramiro. 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 Daniel Alves Ramiro. The network helps show where Daniel Alves Ramiro may publish in the future.
Co-authorship network of co-authors of Daniel Alves Ramiro
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Alves Ramiro. A scholar is included among the top collaborators of Daniel Alves Ramiro 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 Daniel Alves Ramiro. Daniel Alves Ramiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 40 | |
| 3 | 171 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 32 | |
| 7 | 19 | |
| 8 | 27 | |
| 9 | Caractérisation des mécanismes de résistance impliqués dans les réponses du caféier ( Coffea arabica ) à l'agent de la rouille orangée ( Hemileia vastatrix ): de la formation des haustoria à l'expression quantitative des gènes | 1 |
| 10 | Phylogenetic analysis of the WRKY transcription factors gene superfamily in coffee plants. | 1 |
| 11 | 117 | |
| 12 | 18 | |
| 13 | 29 | |
| 14 | 2 |
About Daniel Alves Ramiro
Daniel Alves Ramiro is a scholar working on Horticulture, Insect Science and Pharmacology, having authored 14 papers that have together received 530 indexed citations. Recurring topics across this work include Coffee research and impacts (5 papers), Plant Gene Expression Analysis (4 papers) and Cocoa and Sweet Potato Agronomy (3 papers). The work is most often cited by research in Plant Science (429 citations), Horticulture (11 citations) and Insect Science (61 citations). Daniel Alves Ramiro has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Oliveiro Guerreiro Filho, Helaine Carrer, Paulo Mazzafera, Lázaro Eustáquio Pereira Peres, Geraldo Felipe Ferreira e Silva, Mariana da Silva Azevedo, Mike Anderson Corazón-Guivin, Fábio Tebaldi Silveira Nogueira, Anne‐Sophie Petitot and Diana Fernandez. Their work appears in journals such as The Plant Journal, Plant Science and Plant Biotechnology Journal.
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.