Fernando Pradella

554 total citations
17 papers, 420 citations indexed

About

Fernando Pradella is a scholar working on Pathology and Forensic Medicine, Immunology and Surgery. According to data from OpenAlex, Fernando Pradella has authored 17 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Immunology and 3 papers in Surgery. Recurrent topics in Fernando Pradella's work include Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). Fernando Pradella is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). Fernando Pradella collaborates with scholars based in Brazil, Germany and Slovakia. Fernando Pradella's co-authors include Alessandro S. Farias, Leonilda Maria Barbosa dos Santos, Ana Leda F. Longhini, Adriel S. Moraes, Elaine C. Oliveira, Alexandre Leite Rodrigues de Oliveira, Mauro Vaisberg, Camila Ortolan Fernandes de Oliveira, Daniel Martins‐de‐Souza and Sara Teresinha Olalla Saad and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Fernando Pradella

17 papers receiving 414 citations

Peers

Fernando Pradella

IMMUN

PFM

NEURO

GENET

Sol Kim South Korea

C. Lu China

Eleonora Piras Italy

André Luís Bombeiro Brazil

Dan Mu China

Sylvie Cavagna France

Hiroki Bochimoto Japan

Liang Yuan China

Naruyoshi Fujiwara Japan

Minmin Chang China

Sol Kim South Korea

Fernando Pradella

90 ×0.5

IMMUN

99 ×0.8

PFM

223 ×2.3

50 ×1.2

NEURO

18 ×0.5

GENET

Citations per year, relative to Fernando Pradella Fernando Pradella (= 1×) peers Sol Kim

Countries citing papers authored by Fernando Pradella

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Pradella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Pradella

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Brexó, Ramon Peres, et al.. (2025). Fermentative and physiological responses of Saccharomyces cerevisiae LMQA SRC-143 and PE-2 in co-culture with Lactobacillus fermentum: Insights with flow cytometry in the Melle-Boinot process. Biochemical Engineering Journal. 221. 109799–109799. 1 indexed citations

Pradella, Fernando, Matheus Albino Souza, Natália S. Brunetti, et al.. (2024). Dimethyl fumarate modulates the regulatory T cell response in the mesenteric lymph nodes of mice with experimental autoimmune encephalomyelitis. Frontiers in Immunology. 15. 1391949–1391949. 6 indexed citations

Borin, Alexandre, et al.. (2023). Thymic Innervation Impairment in Experimental Autoimmune Encephalomyelitis. NeuroImmunoModulation. 31(1). 25–39. 1 indexed citations

Almada, Caroline N., Fernando Pradella, Philipe dos Santos, et al.. (2021). Obtaining paraprobiotics from Lactobacilus acidophilus, Lacticaseibacillus casei and Bifidobacterium animalis using six inactivation methods: Impacts on the cultivability, integrity, physiology, and morphology. Journal of Functional Foods. 87. 104826–104826. 32 indexed citations

Pradella, Fernando, Emílio Carlos Elias Baracat, Sofia Helena Valente de Lemos‐Marini, et al.. (2020). Partial remission in Brazilian children and adolescents with type 1 diabetes. Association with a haplotype of class II human leukocyte antigen and synthesis of autoantibodies. Pediatric Diabetes. 21(4). 606–614. 8 indexed citations

Chaves, Rafael D., et al.. (2017). Evaluation of Staphylococcus spp. in food and kitchen premises of Campinas, Brazil. Food Control. 84. 463–470. 10 indexed citations

Pradella, Fernando, et al.. (2016). Epidemiological profile of age-related macular degeneration patients in Federal University of Parana, Brazil. Revista Brasileira de Oftalmologia. 75(5). 352–355. 1 indexed citations

Duarte, Adriana Silva Santos, Ana Leda F. Longhini, Fernando Pradella, et al.. (2015). Neuroprotection and immunomodulation by xenografted human mesenchymal stem cells following spinal cord ventral root avulsion. Scientific Reports. 5(1). 16167–16167. 54 indexed citations

Pradella, Fernando, et al.. (2014). Impact of pregabalin treatment on synaptic plasticity and glial reactivity during the course of experimental autoimmune encephalomyelitis. Brain and Behavior. 4(6). 925–935. 19 indexed citations

10.

Farias, Alessandro S., Camila Ortolan Fernandes de Oliveira, Fernando Pradella, et al.. (2013). Vitamin D₃ Induces IDO⁺ Tolerogenic DCs and Enhances Treg, Reducing the Severity of EAE. CNS Neuroscience & Therapeutics. 19(4). 269–277. 112 indexed citations

11.

Moraes, Adriel S., Fernando Pradella, Elaine C. Oliveira, et al.. (2013). The Suppressive Effect of IL‐27 on Encephalitogenic Th17 Cells Induced by Multiwalled Carbon Nanotubes Reduces the Severity of Experimental Autoimmune Encephalomyelitis. CNS Neuroscience & Therapeutics. 19(9). 682–687. 22 indexed citations

12.

Farias, Alessandro S., Fernando Pradella, Andrea Schmitt, Leonilda Maria Barbosa dos Santos, & Daniel Martins‐de‐Souza. (2013). Ten years of proteomics in multiple sclerosis. PROTEOMICS. 14(4-5). 467–480. 30 indexed citations

13.

Farias, Alessandro S., Daniel Martins‐de‐Souza, Fernando Pradella, et al.. (2012). Proteome analysis of spinal cord during the clinical course of monophasic experimental autoimmune encephalomyelitis. PROTEOMICS. 12(17). 2656–2662. 17 indexed citations

14.

Farias, Alessandro S., Yara C. Blanco, Stefanie Costa Pinto Lopes, et al.. (2011). Regulatory T Cell Induction during Plasmodium chabaudi Infection Modifies the Clinical Course of Experimental Autoimmune Encephalomyelitis. PLoS ONE. 6(3). e17849–e17849. 28 indexed citations

15.

Longhini, Ana Leda F., Felipe von Glehn, Carlos Otávio Brandão, et al.. (2011). Plasmacytoid dendritic cells are increased in cerebrospinal fluid of untreated patients during multiple sclerosis relapse. Journal of Neuroinflammation. 8(1). 2–2. 50 indexed citations

16.

Longhini, Ana Leda F., Elaine C. Oliveira, Fernando Pradella, et al.. (2011). Up-regulation of T lymphocyte and antibody production by inflammatory cytokines released by macrophage exposure to multi-walled carbon nanotubes. Nanotechnology. 22(26). 265103–265103. 24 indexed citations

17.

Belczak, Sérgio Quilici, et al.. (2009). A anquilose tíbio-társica e sua importância na insuficiência venosa crônica. Jornal Vascular Brasileiro. 8(3). 214–218. 5 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.

Explore authors with similar magnitude of impact