Luis G. C. Pacheco

2.3k citations
70 papers · 1.4k indexed · h-index 20
Topics
Diphtheria, Corynebacterium, and Tetanus (31 papers)Bacterial Identification and Susceptibility Testing (21 papers)Mycobacterium research and diagnosis (17 papers)
Journals
SHILAP Revista de lepidopterologíaACS NanoApplied and Environmental Microbiology

In The Last Decade

Luis G. C. Pacheco

67 papers receiving 1.4k citations

Peers

Luis G. C. Pacheco
Comparison fields: 5 of 104
  • Endocrinology 747
  • Small Animals 372
  • Epidemiology 370
  • Molecular Biology 342
  • Infectious Diseases 318
Replace Vlademir Vicente Cantarelli with:
Vlademir Vicente Cantarelli Brazil
Ingrid Bölin Sweden
Chandler C. Roe United States
John D. Gillece United States
Ralph Goethe Germany
Awdhesh Kalia United States
Katri Jalava Finland
Takahito Toyotome Japan
Tomasz Jagielski Poland
Antonio H. Y. Ngan Hong Kong
Luis G. C. Pacheco relative to Vlademir Vicente Cantarelli Brazil Vlademir Vicente Cantarelli's profile →
Citations per field
00.5×9.5×
Vlademir Vicente Cantarelli · 1×
Citations per year

Countries citing papers authored by Luis G. C. Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Luis G. C. Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis G. C. Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Luis G. C. Pacheco. A scholar is included among the top collaborators of Luis G. C. Pacheco 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 Luis G. C. Pacheco. Luis G. C. Pacheco 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 5
4 1
5 2
6 8
7 4
8 2
9 17
10 10
11 12
12 8
13 29
14 31
15 5
16 30
17 72
18 21
19 266
20 24

About Luis G. C. Pacheco

Luis G. C. Pacheco is a scholar working on Endocrinology, Clinical Biochemistry and Immunology and Allergy, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (31 papers), Bacterial Identification and Susceptibility Testing (21 papers) and Mycobacterium research and diagnosis (17 papers). The work is most often cited by research in Endocrinology (747 citations), Small Animals (372 citations) and Clinical Biochemistry (282 citations). Luis G. C. Pacheco has collaborated with scholars based in Brazil, Austria and United Kingdom. Frequent co-authors include Vasco Azevedo, Anderson Miyoshi, Fernanda Alves Dorella, Sérgio C. Oliveira, Danilo J. P. G. Rocha, Roberto Meyer, Thiago Luiz de Paula Castro, Carina S. Pinheiro, Eric Roberto Guimarães Rocha Aguiar and Neuza Maria Alcântara‐Neves. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied and Environmental 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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