Maria E. Sbrogio-Almeida

845 citations
30 papers · 620 indexed · h-index 18
Topics
Escherichia coli research studies (18 papers)Viral gastroenteritis research and epidemiology (9 papers)Salmonella and Campylobacter epidemiology (5 papers)

In The Last Decade

Maria E. Sbrogio-Almeida

30 papers receiving 610 citations

Peers

Maria E. Sbrogio-Almeida
Comparison fields: 5 of 61
  • Infectious Diseases 269
  • Endocrinology 235
  • Epidemiology 153
  • Immunology 126
  • Molecular Biology 120
Replace Helen S. Garmory with:
Helen S. Garmory United Kingdom
Manohar John United States
Jonathan Kurtz United States
Kazunori Murase Japan
Steven N. Chatfield United Kingdom
Alexandra Dangel Germany
Tobias Schlapp Germany
Susanne Hinkley United States
Soo-Young Wanda United States
Tooru Taniguchi Japan
Maria E. Sbrogio-Almeida relative to Helen S. Garmory United Kingdom Helen S. Garmory's profile →
Citations per field
00.5×1.6×
Helen S. Garmory · 1×
Citations per year

Countries citing papers authored by Maria E. Sbrogio-Almeida

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Sbrogio-Almeida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Sbrogio-Almeida. 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 Maria E. Sbrogio-Almeida. The network helps show where Maria E. Sbrogio-Almeida may publish in the future.

Co-authorship network of co-authors of Maria E. Sbrogio-Almeida

This figure shows the co-authorship network connecting the top 25 collaborators of Maria E. Sbrogio-Almeida. A scholar is included among the top collaborators of Maria E. Sbrogio-Almeida 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 Maria E. Sbrogio-Almeida. Maria E. Sbrogio-Almeida 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 6
2 31
3 16
4 9
5 8
6 20
7 35
8 47
9 19
10 18
11 17
12 13
13 12
14 32
15 25
16 25
17 13
18 18
19 44
20 23

About Maria E. Sbrogio-Almeida

Maria E. Sbrogio-Almeida is a scholar working on Endocrinology, Infectious Diseases and Microbiology, having authored 30 papers that have together received 620 indexed citations. Recurring topics across this work include Escherichia coli research studies (18 papers), Viral gastroenteritis research and epidemiology (9 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Endocrinology (235 citations), Infectious Diseases (269 citations) and Microbiology (57 citations). Maria E. Sbrogio-Almeida has collaborated with scholars based in Brazil, United Kingdom and Germany. Frequent co-authors include Luís Carlos de Souza Ferreira, Liliana M. Massis, Wilson Barros Luiz, Beatriz E.C. Guth, Maurício M. Rodrigues, Rita de Cássia Café Ferreira, Joaquín Cabrera-Crespo, Juliano D. Paccez, Daniel Y. Bargieri and Bruna Cunha de Alencar. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Bacteriology.

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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