Dalila Moter Benvegnú

2.0k citations
74 papers · 1.6k indexed · h-index 26
Topics
Fatty Acid Research and Health (12 papers)Neuroscience and Neuropharmacology Research (5 papers)Biochemical Analysis and Sensing Techniques (5 papers)
Partner nations
BrazilItalyUnited States

In The Last Decade

Dalila Moter Benvegnú

63 papers receiving 1.6k citations

Peers

Dalila Moter Benvegnú
Comparison fields: 5 of 126
  • Molecular Biology 577
  • Cellular and Molecular Neuroscience 401
  • Nutrition and Dietetics 320
  • Physiology 179
  • Developmental Neuroscience 126
Replace Vinay K. Khanna with:
Vinay K. Khanna India
Mauro Schneider Oliveira Brazil
Ana Flávia Furian Brazil
Olivier Sorg Switzerland
Zahoor A. Shah United States
Michelangelo Iannone Italy
Hwei‐Hsien Chen Taiwan
David T. W. Lau Hong Kong
Song Her South Korea
Lei Pei China
Dalila Moter Benvegnú relative to Vinay K. Khanna India Vinay K. Khanna's profile →
Citations per field
00.5×1.5×
Vinay K. Khanna · 1×
Citations per year

Countries citing papers authored by Dalila Moter Benvegnú

Since Specialization
Citations

This map shows the geographic impact of Dalila Moter Benvegnú'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 Dalila Moter Benvegnú with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalila Moter Benvegnú more than expected).

Fields of papers citing papers by Dalila Moter Benvegnú

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dalila Moter Benvegnú. 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 Dalila Moter Benvegnú. The network helps show where Dalila Moter Benvegnú may publish in the future.

Co-authorship network of co-authors of Dalila Moter Benvegnú

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 0
4 0
5 0
6 3
7 5
8 0
9 4
10 0
11 0
12 18
13 19
14 36
15 25
16 39
17 18
18 37
19 10
20 63

About Dalila Moter Benvegnú

Dalila Moter Benvegnú is a scholar working on Nutrition and Dietetics, Biochemistry and Equine, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (12 papers), Neuroscience and Neuropharmacology Research (5 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Cellular and Molecular Neuroscience (401 citations) and Behavioral Neuroscience (75 citations). Dalila Moter Benvegnú has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include G. Toffano, A. Léon, Marilise Escobar Bürger, Raquel Cristine Silva Barcelos, Camila Simonetti Pase, Laura Facci, Patrícia Reckziegel, Nardeli Boufleur, Verônica Tironi Dias and Hecson Jesser Segat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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