G.A. Pereira

574 citations
16 papers · 386 indexed · h-index 14
Topics
Diphtheria, Corynebacterium, and Tetanus (14 papers)Bacterial Identification and Susceptibility Testing (6 papers)Streptococcal Infections and Treatments (5 papers)
Partner nations
BrazilPeruGermany

In The Last Decade

G.A. Pereira

16 papers receiving 376 citations

Peers

G.A. Pereira
Comparison fields: 5 of 53
  • Endocrinology 333
  • Infectious Diseases 154
  • Clinical Biochemistry 153
  • Epidemiology 117
  • Small Animals 60
Replace Priscila Soares Sabbadini with:
Priscila Soares Sabbadini Brazil
Mônica Cristina Souza Brazil
Luiz Carlos Duarte Formiga Brazil
Thandavarayan Ramamurthy India
Yajarayma J. Tang United States
Michael A. Petrou United Kingdom
H Ezzedine Belgium
Andrea D’Ávila Freitas Brazil
Shota Murata Japan
F Soriano Spain
G.A. Pereira relative to Priscila Soares Sabbadini Brazil Priscila Soares Sabbadini's profile →
Citations per field
00.5×1.5×
Priscila Soares Sabbadini · 1×
Citations per year

Countries citing papers authored by G.A. Pereira

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Pereira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A. Pereira. 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 G.A. Pereira. The network helps show where G.A. Pereira may publish in the future.

Co-authorship network of co-authors of G.A. Pereira

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 35
4 14
5 28
6 30
7 15
8 27
9 17
10 37
11 28
12 38
13 25
14 32
15 13
16 45

About G.A. Pereira

G.A. Pereira is a scholar working on Endocrinology, Clinical Biochemistry and Microbiology, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (14 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Streptococcal Infections and Treatments (5 papers). The work is most often cited by research in Endocrinology (333 citations), Clinical Biochemistry (153 citations) and Infectious Diseases (154 citations). G.A. Pereira has collaborated with scholars based in Brazil, Peru and Germany. Frequent co-authors include Ana Luíza Mattos‐Guaraldi, Raphael Hirata, Fabrícia Pires Pimenta, Luiz Carlos Duarte Formiga, Mônica Cristina Souza, Paulo Vieira Damasco, Prescilla Emy Nagao, Priscila Soares Sabbadini, Louisy Sanches dos Santos and Cíntia Silva Santos. Their work appears in journals such as Microbiology, Microbes and Infection and Journal of Medical Microbiology.

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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