L Peroni

515 total citations
30 papers, 403 citations indexed

About

L Peroni is a scholar working on Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, L Peroni has authored 30 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Plant Science and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in L Peroni's work include Plant Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). L Peroni is often cited by papers focused on Plant Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). L Peroni collaborates with scholars based in Brazil, United States and South Korea. L Peroni's co-authors include Dagmar Ruth Stach‐Machado, Hernandes F. Carvalho, Juliete A.F. Silva, Marcos Antônio Machado, Alessandra Alves de Souza, Anete Pereira de Souza, Carlos Rossa, Márcio Lorencini, Fábio L. Leite and Elliot Watanabe Kitajima and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

L Peroni

30 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L Peroni Brazil 13 142 118 53 49 41 30 403
Dagmar Ruth Stach‐Machado Brazil 16 218 1.5× 172 1.5× 86 1.6× 159 3.2× 23 0.6× 38 683
Syed Faraz Moin Pakistan 10 183 1.3× 51 0.4× 52 1.0× 92 1.9× 18 0.4× 24 450
Joanna C. Grant United States 9 146 1.0× 40 0.3× 27 0.5× 32 0.7× 35 0.9× 17 436
Manuel González‐Del Carmen Mexico 13 128 0.9× 32 0.3× 61 1.2× 9 0.2× 32 0.8× 30 610
Selene Elífio-Esposito Brazil 15 214 1.5× 34 0.3× 86 1.6× 8 0.2× 10 0.2× 39 519
Víctor Manuel Bautista‐de Lucio Mexico 13 137 1.0× 29 0.2× 13 0.2× 17 0.3× 80 2.0× 33 486
Abhiram Maddi United States 13 325 2.3× 181 1.5× 88 1.7× 105 2.1× 27 0.7× 23 593
Huiyong Xu China 16 192 1.4× 113 1.0× 45 0.8× 25 0.5× 5 0.1× 39 527

Countries citing papers authored by L Peroni

Since Specialization
Citations

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

Fields of papers citing papers by L Peroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Peroni

This figure shows the co-authorship network connecting the top 25 collaborators of L Peroni. A scholar is included among the top collaborators of L Peroni 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 L Peroni. L Peroni 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
1.
Peroni, L, et al.. (2024). Improving obesity research: Unveiling metabolic pathways through a 3D In vitro model of adipocytes using 3T3-L1 cells. PLoS ONE. 19(5). e0303612–e0303612. 2 indexed citations
2.
Tofani, Larissa Bueno, et al.. (2023). Combining a microphysiological system of three organ equivalents and transcriptomics to assess toxicological endpoints for cosmetic ingredients. Lab on a Chip. 23(24). 5092–5106. 5 indexed citations
3.
Shimizu, Flávio M., L Peroni, Francisco Trivinho‐Strixino, et al.. (2022). Anti-aquaporin-4 immunoglobulin G colorimetric detection by silver nanoparticles. Nanomedicine Nanotechnology Biology and Medicine. 41. 102531–102531. 5 indexed citations
4.
Peroni, L, C.C.C. Tonoli, Celso Eduardo Benedetti, et al.. (2021). Serological Testing for COVID-19, Immunological Surveillance, and Exploration of Protective Antibodies. Frontiers in Immunology. 12. 635701–635701. 12 indexed citations
5.
Brum, Doralina Guimarães, Osvaldo N. Oliveira, Flávio M. Shimizu, et al.. (2020). Nanoimmunosensor based on atomic force spectroscopy to detect anti-myelin basic protein related to early-stage multiple sclerosis. Ultramicroscopy. 211. 112946–112946. 4 indexed citations
6.
Brum, Doralina Guimarães, Celina M. Miyazaki, Flávio M. Shimizu, et al.. (2019). A highly specific and sensitive nanoimmunosensor for the diagnosis of neuromyelitis optica spectrum disorders. Scientific Reports. 9(1). 16136–16136. 11 indexed citations
7.
Brum, Doralina Guimarães, Celina M. Miyazaki, Marystela Ferreira, et al.. (2019). Antibody-mediated biorecognition of myelin oligodendrocyte glycoprotein: computational evidence of demyelination-related epitopes. Scientific Reports. 9(1). 2033–2033. 4 indexed citations
8.
9.
Peroni, L, et al.. (2012). Inflammatory and bone regulators expression in murine macrophages under exposure of commercial and experimental mineral trioxide aggregate. Australian Dental Journal. 57(3). 284–291. 6 indexed citations
10.
11.
Janissen, Richard, Clelton A. Santos, L Peroni, et al.. (2012). Highly-sensitive and label-free indium phosphide biosensor for early phytopathogen diagnosis. Biosensors and Bioelectronics. 36(1). 62–68. 19 indexed citations
12.
Peroni, L, et al.. (2012). Effects of anti‐CD3 monoclonal antibody in salivary glands of spontaneously diabetic mice. Microscopy Research and Technique. 75(7). 928–934. 1 indexed citations
13.
Silva, Juliete A.F., et al.. (2011). Sequential IL‐23 and IL‐17 and increased Mmp8 and Mmp14 expression characterize the progression of an experimental model of periodontal disease in type 1 diabetes. Journal of Cellular Physiology. 227(6). 2441–2450. 36 indexed citations
14.
Caserta, Raquel, Marco Aurélio Takita, Maria Luísa P.N. Targon, et al.. (2010). Expression of Xylella fastidiosa Fimbrial and Afimbrial Proteins during Biofilm Formation. Applied and Environmental Microbiology. 76(13). 4250–4259. 48 indexed citations
15.
16.
Peroni, L, et al.. (2008). Assessment of the diagnostic potential of Immmunocapture-PCR and Immuno-PCR for Citrus Variegated Chlorosis. Journal of Microbiological Methods. 75(2). 302–307. 11 indexed citations
17.
Sousa, S. M. de, Eduardo Kiyota, Júlio César da Silva, et al.. (2008). Structural and kinetic characterization of a maize aldose reductase. Plant Physiology and Biochemistry. 47(2). 98–104. 18 indexed citations
18.
Silva, Juliete A.F., et al.. (2007). The influence of type I diabetes mellitus on the expression and activity of gelatinases (matrix metalloproteinases‐2 and ‐9) in induced periodontal disease. Journal of Periodontal Research. 43(1). 48–54. 34 indexed citations
19.
Siqueira-Neto, Jair L., Miriam A. Giardini, L Peroni, et al.. (2007). Leishmania replication protein A-1 binds in vivo single-stranded telomeric DNA. Biochemical and Biophysical Research Communications. 358(2). 417–423. 29 indexed citations
20.
Siqueira-Neto, Jair L., et al.. (2007). LaTBP1: A Leishmania amazonensis DNA-binding protein that associates in vivo with telomeres and GT-rich DNA using a Myb-like domain. Archives of Biochemistry and Biophysics. 465(2). 399–409. 8 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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