Daniel Máximo Corrêa Alcântara
- Molecular Biology
- Ecology
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Infectious Diseases
- Co-authors
- Daniel J. G. LahrGustavo GraciolliDenis Jacob MachadoFernando P. L. MarquesFrederick W. SpiegelAlexander KudryavtsevTomáš PánekMartin Kostka
- Topics
- Bat Biology and Ecology Studies (7 papers)SARS-CoV-2 and COVID-19 Research (2 papers)Microbial Community Ecology and Physiology (2 papers)
- Partner nations
- BrazilUnited StatesSwitzerland
In The Last Decade
Daniel Máximo Corrêa Alcântara
13 papers receiving 284 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 144
- Ecology 110
- Ecology, Evolution, Behavior and Systematics 104
- Genetics 46
- Infectious Diseases 41
Countries citing papers authored by Daniel Máximo Corrêa Alcântara
This map shows the geographic impact of Daniel Máximo Corrêa Alcântara'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 Máximo Corrêa Alcântara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Máximo Corrêa Alcântara more than expected).
Fields of papers citing papers by Daniel Máximo Corrêa Alcântara
This network shows the impact of papers produced by Daniel Máximo Corrêa Alcântara. 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 Máximo Corrêa Alcântara. The network helps show where Daniel Máximo Corrêa Alcântara may publish in the future.
Co-authorship network of co-authors of Daniel Máximo Corrêa Alcântara
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Máximo Corrêa Alcântara. A scholar is included among the top collaborators of Daniel Máximo Corrêa Alcântara 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 Máximo Corrêa Alcântara. Daniel Máximo Corrêa Alcântara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 59 | |
| 11 | 5 | |
| 12 | 132 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 4 | |
| 16 | 24 |
About Daniel Máximo Corrêa Alcântara
Daniel Máximo Corrêa Alcântara is a scholar working on Ecology, Evolution, Behavior and Systematics, Virology and Parasitology, having authored 16 papers that have together received 288 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (104 citations), Parasitology (33 citations) and Ecology (110 citations). Daniel Máximo Corrêa Alcântara has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include Daniel J. G. Lahr, Gustavo Graciolli, Denis Jacob Machado, Fernando P. L. Marques, Frederick W. Spiegel, Alexander Kudryavtsev, Tomáš Pánek, Martin Kostka, А. В. Смирнов and Lora L. Shadwick. Their work appears in journals such as Molecular Biology and Evolution, Frontiers in Immunology and Frontiers in Microbiology.
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.