Gabrielle da Luz

708 citations
18 papers · 543 indexed · h-index 13
Topics
Metabolism, Diabetes, and Cancer (6 papers)Diet, Metabolism, and Disease (4 papers)Pancreatic function and diabetes (4 papers)
Partner nations
BrazilUnited States

In The Last Decade

Gabrielle da Luz

18 papers receiving 534 citations

Peers

Gabrielle da Luz
Comparison fields: 5 of 80
  • Physiology 185
  • Molecular Biology 172
  • Epidemiology 118
  • Cell Biology 102
  • Endocrinology, Diabetes and Metabolism 78
Replace Stuart J. Bennett with:
Stuart J. Bennett United Kingdom
C. Di Massimo Italy
Inês O. Gonçalves Portugal
Mirian Ayumi Kurauti Brazil
Eduardo R. Ropelle Brazil
Sok Park South Korea
L Castellani Canada
Humberto C. Joca United States
André L. Queiroz Brazil
Aline Haas de Mello Brazil
Gabrielle da Luz relative to Stuart J. Bennett United Kingdom Stuart J. Bennett's profile →
Citations per field
00.5×
Stuart J. Bennett · 1×
Citations per year

Countries citing papers authored by Gabrielle da Luz

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle da Luz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle da Luz. 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 Gabrielle da Luz. The network helps show where Gabrielle da Luz may publish in the future.

Co-authorship network of co-authors of Gabrielle da Luz

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 11
3 12
4 20
5 29
6 7
7 6
8 60
9 14
10 2
11 37
12 36
13 90
14 50
15 39
16 44
17 29
18 53

About Gabrielle da Luz

Gabrielle da Luz is a scholar working on Rehabilitation, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health, having authored 18 papers that have together received 543 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Diet, Metabolism, and Disease (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Rehabilitation (62 citations) and Physiology (185 citations). Gabrielle da Luz has collaborated with scholars based in Brazil and United States. Frequent co-authors include Cláudio Teodoro de Souza, Ricardo A. Pinho, Marisa Jádna Silva Frederico, Eduardo R. Ropelle, José Rodrigo Pauli, Dennys E. Cintra, Marcelo F. Vitto, Lı́cio A. Velloso, Adelino Sánchez Ramos da Silva and João Quevedo. Their work appears in journals such as The Journal of Physiology, Biochemistry 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.

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