Rosane Aparecida Ribeiro

1.8k citations
71 papers · 1.4k indexed · h-index 24

Rosane Aparecida Ribeiro

66 papers receiving 1.4k citations

Peers

Rosane Aparecida Ribeiro
Comparison fields: 5 of 115
  • Physiology 621
  • Cell Biology 475
  • Surgery 390
  • Endocrinology, Diabetes and Metabolism 289
  • Molecular Biology 252
Replace Thiago M. Batista with:
Thiago M. Batista Brazil
Maria Tereza Nunes Brazil
Patrick T. Fueger United States
Dalila Azzout‐Marniche France
Ulrika Andersson‐Hall Sweden
Alex Rafacho Brazil
Greg M. Kowalski Australia
Isabel Lladó Spain
Anna Pujol Spain
Magdalena Gianotti Spain
Rosane Aparecida Ribeiro relative to Thiago M. Batista Brazil Thiago M. Batista's profile →
Citations per field
00.5×1.5×
Thiago M. Batista · 1×
Citations per year

Countries citing papers authored by Rosane Aparecida Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Rosane Aparecida Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosane Aparecida 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 Rosane Aparecida Ribeiro. The network helps show where Rosane Aparecida Ribeiro may publish in the future.

Co-authorship network of co-authors of Rosane Aparecida Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Rosane Aparecida Ribeiro. A scholar is included among the top collaborators of Rosane Aparecida 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 Rosane Aparecida Ribeiro. Rosane Aparecida Ribeiro 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 0
2 1
3 1
4 0
5 0
6 1
7 14
8 14
9 6
10 12
11 11
12 2
13 3
14 47
15 44
16 26
17 17
18 7
19 11
20 12

About Rosane Aparecida Ribeiro

Rosane Aparecida Ribeiro is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Endocrine and Autonomic Systems, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (32 papers), Aldose Reductase and Taurine (21 papers) and Diet, Metabolism, and Disease (20 papers). The work is most often cited by research in Cell Biology (475 citations), Physiology (621 citations) and Endocrine and Autonomic Systems (151 citations). Rosane Aparecida Ribeiro has collaborated with scholars based in Brazil, Spain and Germany. Frequent co-authors include Everardo M. Carneiro, Antônio C. Boschero, Maria Lúcia Bonfleur, Sandra Lucinei Balbo, Thiago M. Batista, Emerielle C. Vanzela, Jean Franciesco Vettorazzi, Patrícia Cristine Borck, Junia Carolina Santos-Silva and Rafael Ludemann Camargo. Their work appears in journals such as PLoS ONE, Life Sciences and American Journal of Physiology-Endocrinology and Metabolism.

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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