Daniela A. Ribeiro
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Biofuel production and bioconversion 3
- Metal Extraction and Bioleaching 2
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Maribel Antonello Rubin (6 shared papers)Cristiane Signor (5 shared papers)Carlos Fernando Mello (4 shared papers)Fábio M. Squina (5 shared papers)Adriana Franco Paes Leme (4 shared papers)M.T. Murakami (3 shared papers)Thabata M. Alvarez (3 shared papers)Roberto Ruller (2 shared papers)
- Journals
- Neurobiology of Learning and Memory (2 papers)Biotechnology for Biofuels (2 papers)Cell Biochemistry and Function (1 paper)BMC Microbiology (1 paper)Life Sciences (1 paper)
- Partner nations
- BrazilUnited StatesAustralia
In The Last Decade
Daniela A. Ribeiro
15 papers receiving 378 citations
Peers
Comparison fields: 5 of 85
- Biotechnology 94
- Biological Psychiatry 11
- Environmental Engineering 53
- Biomedical Engineering 140
- Physiology 14
Countries citing papers authored by Daniela A. Ribeiro
This map shows the geographic impact of Daniela A. Ribeiro'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 Daniela A. Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela A. Ribeiro more than expected).
Fields of papers citing papers by Daniela A. Ribeiro
This network shows the impact of papers produced by Daniela A. Ribeiro. 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 Daniela A. Ribeiro. The network helps show where Daniela A. Ribeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela A. Ribeiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 71 | |
| 2 | 2012 | 58 | |
| 3 | 2012 | 49 | |
| 4 | 2011 | 37 | |
| 5 | 2011 | 36 | |
| 6 | 2014 | 26 | |
| 7 | 2010 | 22 | |
| 8 | 2013 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2011 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2012 | 6 | |
| 14 | Functional characterization and target discovery of glycoside hydrolases from lower termite Coptotermes gestroi digestome. | 2011 | 3 |
| 15 | 2011 | 3 |
About Daniela A. Ribeiro
Daniela A. Ribeiro is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Nutrition and Dietetics, Biotechnology and Molecular Biology, having authored 15 papers that have together received 379 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers), Biofuel production and bioconversion (3 papers), Enzyme Production and Characterization (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Corrosion Behavior and Inhibition (2 papers) and Metal Extraction and Bioleaching (2 papers). The work is most often cited by research in Biotechnology (94 citations), Biological Psychiatry (11 citations), Environmental Engineering (53 citations), Biomedical Engineering (140 citations) and Physiology (14 citations). Daniela A. Ribeiro has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Maribel Antonello Rubin, Cristiane Signor, Carlos Fernando Mello, Fábio M. Squina, Adriana Franco Paes Leme, M.T. Murakami, Thabata M. Alvarez, Roberto Ruller, Júnio Cota and Rolf A. Prade. Their work appears in journals such as Neurobiology of Learning and Memory, Biotechnology for Biofuels, Cell Biochemistry and Function, BMC Microbiology and Life Sciences.
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.