Rosane B. de Oliveira

1.1k total citations
16 papers, 864 citations indexed

About

Rosane B. de Oliveira is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Rosane B. de Oliveira has authored 16 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Rosane B. de Oliveira's work include Leprosy Research and Treatment (7 papers), Immune Response and Inflammation (4 papers) and Peripheral Neuropathies and Disorders (3 papers). Rosane B. de Oliveira is often cited by papers focused on Leprosy Research and Treatment (7 papers), Immune Response and Inflammation (4 papers) and Peripheral Neuropathies and Disorders (3 papers). Rosane B. de Oliveira collaborates with scholars based in Brazil, United States and Australia. Rosane B. de Oliveira's co-authors include Douglas T. Golenbock, Euzenir Nunes Sarno, Fabiano Ferreira, Letícia S. Alves, Marcelo T. Bozza, Dario S. Zamboni, Danielle A. S. Rodrigues, Patricia L. Fernández, Marco A. Ataide and María Teresa Ochoa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Infectious Diseases.

In The Last Decade

Rosane B. de Oliveira

16 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosane B. de Oliveira Brazil 11 309 258 224 185 156 16 864
Xiaohui Sem Singapore 7 633 2.0× 348 1.3× 224 1.0× 51 0.3× 247 1.6× 10 1.2k
J. de Koning Netherlands 19 259 0.8× 212 0.8× 118 0.5× 277 1.5× 93 0.6× 72 1.3k
Sandra Fernandes Brazil 18 149 0.5× 225 0.9× 122 0.5× 98 0.5× 110 0.7× 57 872
Tanja Werner Germany 16 318 1.0× 273 1.1× 153 0.7× 29 0.2× 142 0.9× 39 923
Mingfu Tian China 11 421 1.4× 542 2.1× 367 1.6× 110 0.6× 129 0.8× 19 1.2k
R. Andrés Floto United Kingdom 10 665 2.2× 422 1.6× 190 0.8× 55 0.3× 193 1.2× 14 1.3k
Tovah N. Shaw United Kingdom 18 877 2.8× 256 1.0× 143 0.6× 374 2.0× 111 0.7× 26 1.4k
P. T. A. Schellekens Netherlands 18 490 1.6× 158 0.6× 230 1.0× 49 0.3× 152 1.0× 40 1.1k
Otávio Cabral-Marques Brazil 18 257 0.8× 150 0.6× 150 0.7× 61 0.3× 125 0.8× 53 720
Anu Tamm Estonia 12 268 0.9× 303 1.2× 108 0.5× 48 0.3× 71 0.5× 13 862

Countries citing papers authored by Rosane B. de Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Rosane B. de Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosane B. de Oliveira. 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 Rosane B. de Oliveira. The network helps show where Rosane B. de Oliveira may publish in the future.

Co-authorship network of co-authors of Rosane B. de Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Rosane B. de Oliveira. A scholar is included among the top collaborators of Rosane B. de Oliveira 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 Rosane B. de Oliveira. Rosane B. de Oliveira 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
1.
Kurt‐Jones, Evelyn A., Sunita Gulati, Michael R. King, et al.. (2025). Interferon-epsilon, an estrogen-induced type I interferon, is uniquely exploited by Neisseria gonorrhoeae via effects on sialic acid metabolism. Cell Host & Microbe. 33(7). 1133–1145.e4. 1 indexed citations
2.
Oliveira, Rosane B. de, et al.. (2022). Epidemiological importance of bacterial meningitis. 4(2). 24–27. 1 indexed citations
3.
Ram, Sanjay, Jutamas Shaughnessy, Rosane B. de Oliveira, et al.. (2017). Gonococcal lipooligosaccharide sialylation: virulence factor and target for novel immunotherapeutics. Pathogens and Disease. 75(4). 24 indexed citations
4.
Ataide, Marco A., Warrison A. Andrade, Bruno Coelho Rocha, et al.. (2015). DNA-Containing Immunocomplexes Promote Inflammasome Assembly and Release of Pyrogenic Cytokines by CD14+CD16+CD64highCD32lowInflammatory Monocytes from Malaria Patients. mBio. 6(6). e01605–15. 32 indexed citations
5.
Oliveira, Rosane B. de, Jennifer Wang, Sanjay Ram, et al.. (2014). Increased Survival in B-Cell-Deficient Mice during Experimental Cerebral Malaria Suggests a Role for Circulating Immune Complexes. mBio. 5(2). e00949–14. 5 indexed citations
6.
Ferreira, Fabiano, Letícia S. Alves, Danielle A. S. Rodrigues, et al.. (2014). Hemolysis-induced lethality involves inflammasome activation by heme. Proceedings of the National Academy of Sciences. 111(39). E4110–8. 272 indexed citations
7.
Souza-Fonseca-Guimarães, Fernando, Marianna Parlato, Rosane B. de Oliveira, et al.. (2013). Interferon-γ and Granulocyte/Monocyte Colony-stimulating Factor Production by Natural Killer Cells Involves Different Signaling Pathways and the Adaptor Stimulator of Interferon Genes (STING). Journal of Biological Chemistry. 288(15). 10715–10721. 28 indexed citations
8.
Franklin, Bernardo S., Sally T. Ishizaka, Marc S. Lamphier, et al.. (2011). Therapeutical targeting of nucleic acid-sensing Toll-like receptors prevents experimental cerebral malaria. Proceedings of the National Academy of Sciences. 108(9). 3689–3694. 93 indexed citations
9.
Teles, Rosane M. B., Stephan R. Krutzik, María Teresa Ochoa, et al.. (2010). Interleukin-4 Regulates the Expression of CD209 and Subsequent Uptake ofMycobacterium lepraeby Schwann Cells in Human Leprosy. Infection and Immunity. 78(11). 4634–4643. 22 indexed citations
10.
Franklin, Bernardo S., Peggy Parroche, Marco A. Ataide, et al.. (2009). Malaria primes the innate immune response due to interferon-γ induced enhancement of toll-like receptor expression and function. Proceedings of the National Academy of Sciences. 106(14). 5789–5794. 139 indexed citations
11.
Costa-da-Silva, Ana Caroline, et al.. (2008). Morphological and functional characterizations of Schwann cells stimulated with Mycobacterium leprae. Memórias do Instituto Oswaldo Cruz. 103(4). 363–369. 7 indexed citations
12.
Cardoso, Cynthia Chester, Alejandra N. Martinez, Pedro Edson Moreira Guimarães, et al.. (2007). Ninjurin 1 asp110ala single nucleotide polymorphism is associated with protection in leprosy nerve damage. Journal of Neuroimmunology. 190(1-2). 131–138. 27 indexed citations
13.
Oliveira, Rosane B. de, Elizabeth P. Sampaio, Fernando Monteiro Aarestrup, et al.. (2005). Cytokines and Mycobacterium leprae Induce Apoptosis in Human Schwann Cells. Journal of Neuropathology & Experimental Neurology. 64(10). 882–890. 35 indexed citations
14.
Oliveira, Rosane B. de, María Teresa Ochoa, Peter A. Sieling, et al.. (2003). Expression of Toll-Like Receptor 2 on Human Schwann Cells: a Mechanism of Nerve Damage in Leprosy. Infection and Immunity. 71(3). 1427–1433. 130 indexed citations
15.
Sampaio, Elizabeth P., et al.. (2000). T Cell–Monocyte Contact Enhances Tumor Necrosis Factor–α Production in Response toMycobacterium leprae. The Journal of Infectious Diseases. 182(5). 1463–1472. 9 indexed citations
16.
Oliveira, Rosane B. de, et al.. (1999). Neutrophils isolated from leprosy patients release TNF-α and exhibit accelerated apoptosis in vitro. Journal of Leukocyte Biology. 65(3). 364–371. 39 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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