Marlei Gomes da Silva

615 total citations
15 papers, 278 citations indexed

About

Marlei Gomes da Silva is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Marlei Gomes da Silva has authored 15 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Infectious Diseases and 5 papers in Small Animals. Recurrent topics in Marlei Gomes da Silva's work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (10 papers) and Infectious Diseases and Mycology (5 papers). Marlei Gomes da Silva is often cited by papers focused on Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (10 papers) and Infectious Diseases and Mycology (5 papers). Marlei Gomes da Silva collaborates with scholars based in Brazil, United States and Argentina. Marlei Gomes da Silva's co-authors include Rafael Silva Duarte, Leila de Souza Fonseca, Maria Helena Féres Saad, Heitor Siffert Pereira de Souza, Cléverson Teixeira Soares, Geraldo M. B. Pereira, Patrícia Sammarco Rosa, Mariana A. Hacker, María Cristina Vidal Pessolani and Marcelo Ribeiro‐Alves and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Marlei Gomes da Silva

15 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marlei Gomes da Silva Brazil 7 163 148 78 46 40 15 278
Anna Zabost Poland 11 201 1.2× 205 1.4× 46 0.6× 48 1.0× 75 1.9× 47 354
Carmen A. Molina-Torres Mexico 11 202 1.2× 208 1.4× 52 0.7× 10 0.2× 54 1.4× 25 321
Ivana Mareković Croatia 11 149 0.9× 103 0.7× 30 0.4× 21 0.5× 21 0.5× 38 276
Rose C. Lopeman United Kingdom 4 166 1.0× 119 0.8× 54 0.7× 125 2.7× 71 1.8× 6 300
Maria N. Chitasombat Thailand 10 221 1.4× 199 1.3× 88 1.1× 9 0.2× 9 0.2× 16 337
Hideo IKEMOTO Japan 10 267 1.6× 311 2.1× 82 1.1× 25 0.5× 17 0.4× 42 429
Gabrielle Fröberg Sweden 10 86 0.5× 91 0.6× 24 0.3× 10 0.2× 33 0.8× 15 194
M Kubín Czechia 12 366 2.2× 288 1.9× 81 1.0× 15 0.3× 87 2.2× 50 470
Torsten M. Eckstein United States 12 291 1.8× 164 1.1× 68 0.9× 12 0.3× 33 0.8× 24 372
M Havelková Czechia 9 356 2.2× 308 2.1× 141 1.8× 10 0.2× 128 3.2× 23 421

Countries citing papers authored by Marlei Gomes da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Marlei Gomes da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlei Gomes da Silva. 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 Marlei Gomes da Silva. The network helps show where Marlei Gomes da Silva may publish in the future.

Co-authorship network of co-authors of Marlei Gomes da Silva

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

All Works

15 of 15 papers shown
1.
Silva, Marlei Gomes da, et al.. (2021). Phenotypic and Genotypic Drug Susceptibility Assessment of Mycobacterium bovis Bacillus Calmette-Guérin Clinical Strains. Infection and Drug Resistance. Volume 14. 459–466. 2 indexed citations
2.
Conceição, Emilyn Costa, Maria Luiza Diniz de Sousa Lopes, Yan Corrêa Rodrigues, et al.. (2019). Molecular epidemiology of mycobacteria among herds in Marajó Island, Brazil, reveals strains genetically related and potential zoonotic risk of clinical relevance. Infection Genetics and Evolution. 77. 104044–104044. 4 indexed citations
3.
Caierão, Juliana, Jorge Luiz Mello Sampaio, Marlei Gomes da Silva, et al.. (2015). Multilocus enzyme electrophoresis analysis of rapidly-growing mycobacteria: an alternative tool for identification and typing. International Journal of Infectious Diseases. 42. 11–16. 3 indexed citations
4.
Silva, Marlei Gomes da, et al.. (2015). Effectiveness of current disinfection procedures against biofilm on contaminated GI endoscopes. Gastrointestinal Endoscopy. 83(5). 944–953. 41 indexed citations
5.
Nunes, Luciana de Souza, Elizabeth Andrade Marques, Tânia Wrobel Folescu, et al.. (2014). Multidrug-Resistant Nontuberculous Mycobacteria Isolated from Cystic Fibrosis Patients. Journal of Clinical Microbiology. 52(8). 2990–2997. 35 indexed citations
6.
Rosa, Patrícia Sammarco, Marlei Gomes da Silva, Cléverson Teixeira Soares, et al.. (2014). Statins Increase Rifampin Mycobactericidal Effect. Antimicrobial Agents and Chemotherapy. 58(10). 5766–5774. 84 indexed citations
7.
Silva, Marlei Gomes da, et al.. (2013). Characterization of non-tuberculosis mycobacteria by neutron radiography. Applied Radiation and Isotopes. 77. 84–88. 1 indexed citations
8.
Moura, Vinicius Calado Nogueira de, Marlei Gomes da Silva, Karen Machado Gomes, et al.. (2011). Phenotypic and molecular characterization of quinolone resistance in Mycobacterium abscessus subsp. bolletii recovered from postsurgical infections. Journal of Medical Microbiology. 61(1). 115–125. 14 indexed citations
9.
Duarte, Rafael Silva, et al.. (2011). Identificação de Mycobacterium bovis em cepas micobacterianas isoladas espécimes clínicos humanos em um complexo hospitalar na cidade do Rio de Janeiro. Jornal Brasileiro de Pneumologia. 37(5). 664–668. 3 indexed citations
10.
Pitombo, Marcos Bettini, Marlei Gomes da Silva, Elizabeth Andrade Marques, et al.. (2010). Mycobacterium massiliense BRA100 strain recovered from postsurgical infections: resistance to high concentrations of glutaraldehyde and alternative solutions for high level disinfection. Acta Cirúrgica Brasileira. 25(5). 455–459. 27 indexed citations
11.
Figueiredo, Eduardo Eustáquio de Souza, Marlei Gomes da Silva, Leila de Souza Fonseca, Joab Trajano Silva, & Vânia Margaret Flosi Paschoalin. (2008). DETECÇÃO DO COMPLEXO Mycobacterium tuberculosis NO LEITE PELA REAÇÃO EM CADEIA DA POLIMERASE SEGUIDA DE ANÁLISE DE RESTRIÇÃO DO FRAGMENTO AMPLIFICADO (PRA). SHILAP Revista de lepidopterología. 9(4). 1023–1033. 1 indexed citations
12.
Sequeira, Patrícia Carvalho de, Leila de Souza Fonseca, Marlei Gomes da Silva, & Maria Helena Féres Saad. (2005). Mycobacterium avium restriction fragment lenght polymorphism-IS IS1245 and the simple double repetitive element polymerase chain reaction typing method to screen genetic diversity in Brazilian strains. Memórias do Instituto Oswaldo Cruz. 100(7). 743–748. 4 indexed citations
13.
Fonseca, Leila de Souza, et al.. (2004). A report of mycobacteriosis caused by Mycobacterium marinum in bullfrogs (Rana catesbeiana). The Veterinary Journal. 171(1). 177–180. 22 indexed citations
14.
15.
Lourenço, Maria Cristina da Silva, Marlei Gomes da Silva, & Leila de Souza Fonseca. (2000). Multidrug-resistant tuberculosis among male inmates in Rio de Janeiro, Brazil. Brazilian Journal of Microbiology. 31(1). 17–19. 3 indexed citations

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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