Cláudia Macedo

713 total citations
33 papers, 523 citations indexed

About

Cláudia Macedo is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Cláudia Macedo has authored 33 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Cláudia Macedo's work include T-cell and B-cell Immunology (10 papers), Diabetes and associated disorders (7 papers) and Adrenal Hormones and Disorders (5 papers). Cláudia Macedo is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Diabetes and associated disorders (7 papers) and Adrenal Hormones and Disorders (5 papers). Cláudia Macedo collaborates with scholars based in Brazil, France and Portugal. Cláudia Macedo's co-authors include Geraldo Aleixo Silva Passos, Elza Tiemi Sakamoto‐Hojo, Eduardo Antônio Donadi, Paula B. Donate, José Moacir Marin, Adriane Feijó Evangelista, Márcia Martins Marques, Cristina M. Junta, Cristhianna V. A. Collares and Diane Meyre Rassi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Cláudia Macedo

33 papers receiving 514 citations

Peers

Cláudia Macedo
Comparison fields: 5 of 82
  • Molecular Biology 176
  • Immunology 154
  • Cancer Research 106
  • Endocrinology, Diabetes and Metabolism 95
  • Epidemiology 87
Replace Christine Youn with:
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Christine Youn United States View profile →
Citations per field, relative to Cláudia Macedo
Cláudia Macedo · 1×
Citations per year, relative to Cláudia Macedo
Cláudia Macedo · 1×

Countries citing papers authored by Cláudia Macedo

Since Specialization
Citations

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

Fields of papers citing papers by Cláudia Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cláudia Macedo. 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 Cláudia Macedo. The network helps show where Cláudia Macedo may publish in the future.

Co-authorship network of co-authors of Cláudia Macedo

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Macedo. A scholar is included among the top collaborators of Cláudia Macedo 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 Cláudia Macedo. Cláudia Macedo 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
# Work Indexed citations
1 28
2 14
3 35
4 24
5 15
6 51
7 29
8 23
9
Transcriptome analyses comparing the profiles of type 1, type 2 and gestational diabetes mellitus show differential expression of HLA and KIR genes
1
10 41
11 15
12 18
13 19
14 17
15 16
16 5
17 19
18 7
19 6
20 9

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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2026