Daniela A. Ribeiro

492 total citations
15 papers, 379 citations indexed

About

Daniela A. Ribeiro is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Daniela A. Ribeiro has authored 15 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Nutrition and Dietetics. Recurrent topics in Daniela A. Ribeiro's work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers) and Biofuel production and bioconversion (3 papers). Daniela A. Ribeiro is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers) and Biofuel production and bioconversion (3 papers). Daniela A. Ribeiro collaborates with scholars based in Brazil, United States and Australia. Daniela A. Ribeiro's co-authors include Maribel Antonello Rubin, Cristiane Signor, Carlos Fernando Mello, Fábio M. Squina, Adriana Franco Paes Leme, M.T. Murakami, Thabata M. Alvarez, Júnio Cota, Rolf A. Prade and Roberto Ruller and has published in prestigious journals such as Energy & Environmental Science, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Daniela A. Ribeiro

15 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela A. Ribeiro Brazil 11 140 127 94 53 46 15 379
Bijan Choudhury India 17 244 1.7× 445 3.5× 139 1.5× 15 0.3× 93 2.0× 50 937
Young-Kee Kim South Korea 14 74 0.5× 252 2.0× 45 0.5× 14 0.3× 156 3.4× 68 760
Sang‐Kyu Jung South Korea 13 126 0.9× 189 1.5× 54 0.6× 13 0.2× 58 1.3× 25 586
Alexandre Ricardo Pereira Schuler Brazil 12 95 0.7× 82 0.6× 39 0.4× 7 0.1× 81 1.8× 32 472
Jungang Wang China 15 82 0.6× 165 1.3× 32 0.3× 10 0.2× 193 4.2× 73 545
Janaka N. Edirisinghe United States 7 65 0.5× 348 2.7× 13 0.1× 105 2.0× 68 1.5× 18 717
C.-Y. Jiang China 10 102 0.7× 242 1.9× 50 0.5× 10 0.2× 100 2.2× 15 535
Stefano Cianchetta Italy 15 213 1.5× 191 1.5× 33 0.4× 7 0.1× 145 3.2× 26 480
Zhiliang Fan United States 15 499 3.6× 440 3.5× 174 1.9× 12 0.2× 157 3.4× 40 809
Elisabete C. Fernandes Portugal 9 68 0.5× 121 1.0× 59 0.6× 4 0.1× 20 0.4× 12 412

Countries citing papers authored by Daniela A. Ribeiro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniela A. Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela A. Ribeiro. A scholar is included among the top collaborators of Daniela A. Ribeiro 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 Daniela A. Ribeiro. Daniela A. Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Girardi, Bruna, et al.. (2015). Spermidine-induced improvement of reconsolidation of memory involves calcium-dependent protein kinase in rats. Learning & Memory. 23(1). 21–28. 16 indexed citations
2.
Beckmann, Sabrina, Cornelia U. Welte, Xiaomin Li, et al.. (2015). Novel phenazine crystals enable direct electron transfer to methanogens in anaerobic digestion by redox potential modulation. Energy & Environmental Science. 9(2). 644–655. 71 indexed citations
3.
Signor, Cristiane, et al.. (2014). Spermidine improves fear memory persistence. European Journal of Pharmacology. 730. 72–76. 26 indexed citations
4.
Thomé, Gustavo R., Pauline da Costa, Roberta Schmatz, et al.. (2014). Effect of vitamin D3 on behavioural and biochemical parameters in diabetes type 1‐induced rats. Cell Biochemistry and Function. 32(6). 502–510. 14 indexed citations
5.
Ribeiro, Daniela A., Carlos Fernando Mello, Cristiane Signor, & Maribel Antonello Rubin. (2013). Polyaminergic agents modulate the reconsolidation of conditioned fear. Neurobiology of Learning and Memory. 104. 9–15. 18 indexed citations
6.
Gutierres, Jessié Martins, Fabiano B. Carvalho, Maria Rosa Chitolina Schetinger, et al.. (2012). Protective effects of anthocyanins on the ectonucleotidase activity in the impairment of memory induced by scopolamine in adult rats. Life Sciences. 91(23-24). 1221–1228. 49 indexed citations
7.
Ribeiro, Daniela A., Júnio Cota, Thabata M. Alvarez, et al.. (2012). The Penicillium echinulatum Secretome on Sugar Cane Bagasse. PLoS ONE. 7(12). e50571–e50571. 58 indexed citations
8.
Rosa, Michelle Melgarejo da, et al.. (2012). Opioid mechanisms are involved in the disruption of arcaine-induced amnesia by context pre-exposure. Neurobiology of Learning and Memory. 97(3). 294–300. 6 indexed citations
9.
Cairo, João Paulo L. Franco, Flávia C. Leonardo, Thabata M. Alvarez, et al.. (2011). Functional characterization and target discovery of glycoside hydrolases from lower termite Coptotermes gestroi digestome.. Biotechnology for Biofuels. 4(50). 3 indexed citations
10.
Ribeiro, Daniela A., et al.. (2011). The small heat shock proteins from Acidithiobacillus ferrooxidans: gene expression, phylogenetic analysis, and structural modeling. BMC Microbiology. 11(1). 259–259. 10 indexed citations
11.
Damásio, André, Fausto Almeida, Fábio M. Squina, et al.. (2011). Heterologous expression of an Aspergillus niveus xylanase GH11 in Aspergillus nidulans and its characterization and application. Process Biochemistry. 46(6). 1236–1242. 37 indexed citations
12.
Cairo, João Paulo L. Franco, Flávia C. Leonardo, Thabata M. Alvarez, et al.. (2011). Functional characterization and target discovery of glycoside hydrolases from the digestome of the lower termite Coptotermes gestroi. Biotechnology for Biofuels. 4(1). 50–50. 36 indexed citations
13.
Ribeiro, Daniela A., et al.. (2011). Putative new heat-stable cytotoxic and enterotoxic factors in culture supernatant of Escherichia coli isolated from drinking water. ˜The œJournal of venomous animals and toxins including tropical diseases. 17(1). 103–107. 3 indexed citations
14.
Squina, Fábio M., C.R. Santos, Daniela A. Ribeiro, et al.. (2010). Substrate cleavage pattern, biophysical characterization and low-resolution structure of a novel hyperthermostable arabinanase from Thermotoga petrophila. Biochemical and Biophysical Research Communications. 399(4). 505–511. 22 indexed citations
15.
Ribeiro, Daniela A., Danilo A. Maretto, Fábio César Sousa Nogueira, et al.. (2010). Heat and phosphate starvation effects on the proteome, morphology and chemical composition of the biomining bacteria Acidithiobacillus ferrooxidans. World Journal of Microbiology and Biotechnology. 27(6). 1469–1479. 10 indexed citations

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.

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