Beatriz C.G. Freitas

770 citations
13 papers · 631 indexed · h-index 12
Topics
Genetics and Neurodevelopmental Disorders (7 papers)Thyroid Disorders and Treatments (5 papers)Ubiquitin and proteasome pathways (4 papers)

In The Last Decade

Beatriz C.G. Freitas

13 papers receiving 624 citations

Peers

Beatriz C.G. Freitas
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 309
  • Molecular Biology 295
  • Genetics 111
  • Physiology 82
  • Cell Biology 73
Replace P. Borboni with:
P. Borboni Italy
Laure Quignodon Switzerland
Randi Ugleholdt Denmark
Hélène Fournier Canada
Niels Blume Denmark
Kathryn L. Corbin United States
Kazuro Yaekura Japan
Jonathan Rachman United Kingdom
Jean‐Michel Gavaret France
Kimie Sho Japan
Beatriz C.G. Freitas relative to P. Borboni Italy P. Borboni's profile →
Citations per field
00.5×1.5×2.4×
P. Borboni · 1×
Citations per year

Countries citing papers authored by Beatriz C.G. Freitas

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz C.G. Freitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz C.G. Freitas. 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 Beatriz C.G. Freitas. The network helps show where Beatriz C.G. Freitas may publish in the future.

Co-authorship network of co-authors of Beatriz C.G. Freitas

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 25
2 7
3 16
4 39
5 128
6 23
7 26
8 49
9 74
10 86
11 31
12 111
13 16

About Beatriz C.G. Freitas

Beatriz C.G. Freitas is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Genetics, having authored 13 papers that have together received 631 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Thyroid Disorders and Treatments (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (309 citations), Endocrine and Autonomic Systems (48 citations) and Cell Biology (73 citations). Beatriz C.G. Freitas has collaborated with scholars based in United States, Hungary and Brazil. Frequent co-authors include Antônio C. Bianco, Balázs Gereben, Ann Marie Zavacki, John W. Harney, Janete M. Cerutti, Anikó Zeöld, Péter Egri, Cyntia Curcio‐Morelli, Zaibo Li and Rui M. B. Maciel. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Molecular and Cellular Biology.

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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