Daniel Morais
Impact in
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
- Ecology top 10%
- Microbial Community Ecology and Physiology
Papers in
-
- Genomics and Phylogenetic Studies 13
- Gut microbiota and health 10
- Ecology 16
- Microbial Community Ecology and Physiology 14
- Co-authors
- Petr Baldrián (8 shared papers)Tomáš Větrovský (5 shared papers)Victor Satler Pylro (13 shared papers)Marcos Rogério Tótola (6 shared papers)Luiz Fernando Würdig Roesch (8 shared papers)P. R. Hirsch (3 shared papers)Ian M. Clark (2 shared papers)Robert Starke (7 shared papers)
- Journals
- Microbial Ecology (4 papers)PeerJ (2 papers)Journal of Microbiological Methods (2 papers)Frontiers in Microbiology (2 papers)Bioinformatics (1 paper)
- Partner nations
- CzechiaBrazilUnited Kingdom
In The Last Decade
Daniel Morais
29 papers receiving 904 citations
Peers
Comparison fields: 5 of 107
- Soil Science 117
- Ecology 281
- Pollution 125
- Insect Science 119
- Plant Science 323
Countries citing papers authored by Daniel Morais
This map shows the geographic impact of Daniel Morais'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 Morais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Morais more than expected).
Fields of papers citing papers by Daniel Morais
This network shows the impact of papers produced by Daniel Morais. 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 Morais. The network helps show where Daniel Morais may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Morais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 232 | |
| 2 | 2014 | 190 | |
| 3 | 2017 | 64 | |
| 4 | 2019 | 58 | |
| 5 | 2020 | 48 | |
| 6 | 2021 | 45 | |
| 7 | 2016 | 35 | |
| 8 | 2016 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2016 | 19 | |
| 11 | 2019 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2021 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2016 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2018 | 7 |
About Daniel Morais
Daniel Morais is a scholar working on Molecular Biology, Ecology, Plant Science, Pollution and Environmental Chemistry, having authored 32 papers that have together received 907 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (13 papers), Gut microbiota and health (10 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Microbial bioremediation and biosurfactants (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Forest Ecology and Biodiversity Studies (2 papers). The work is most often cited by research in Soil Science (117 citations), Ecology (281 citations), Pollution (125 citations), Insect Science (119 citations) and Plant Science (323 citations). Daniel Morais has collaborated with scholars based in Czechia, Brazil and United Kingdom. Frequent co-authors include Petr Baldrián, Tomáš Větrovský, Victor Satler Pylro, Marcos Rogério Tótola, Luiz Fernando Würdig Roesch, P. R. Hirsch, Ian M. Clark, Robert Starke, José L. Moreno and Alfonso Vera. Their work appears in journals such as Microbial Ecology, PeerJ, Journal of Microbiological Methods, Frontiers in Microbiology and Bioinformatics.
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.