Jefferson Russo Victor

1.0k total citations
57 papers, 774 citations indexed

About

Jefferson Russo Victor is a scholar working on Immunology, Physiology and Immunology and Allergy. According to data from OpenAlex, Jefferson Russo Victor has authored 57 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 27 papers in Physiology and 23 papers in Immunology and Allergy. Recurrent topics in Jefferson Russo Victor's work include Asthma and respiratory diseases (26 papers), Allergic Rhinitis and Sensitization (20 papers) and Dermatology and Skin Diseases (17 papers). Jefferson Russo Victor is often cited by papers focused on Asthma and respiratory diseases (26 papers), Allergic Rhinitis and Sensitization (20 papers) and Dermatology and Skin Diseases (17 papers). Jefferson Russo Victor collaborates with scholars based in Brazil, United States and France. Jefferson Russo Victor's co-authors include Maria Notomi Sato, Ana Elisa Fusaro, Alberto José da Silva Duarte, Cyro Alves de Brito, Alberto J.S. Duarte, Alberto José da Silva Duarte, Milton Maciel, Maria Leite‐de‐Moraes, Sabri Saeed Sanabani and Raquel Leão Orfali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jefferson Russo Victor

53 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jefferson Russo Victor Brazil 18 392 325 292 182 60 57 774
Alexander J. Schuyler United States 16 254 0.6× 271 0.8× 510 1.7× 161 0.9× 260 4.3× 29 966
Alberto José da Silva Duarte Brazil 14 219 0.6× 149 0.5× 132 0.5× 158 0.9× 26 0.4× 37 519
Tricia Heaton Australia 10 335 0.9× 274 0.8× 136 0.5× 66 0.4× 63 1.1× 14 664
Toshiko Itazawa Japan 15 202 0.5× 308 0.9× 216 0.7× 102 0.6× 43 0.7× 64 689
Ana Elisa Fusaro Brazil 12 157 0.4× 202 0.6× 180 0.6× 51 0.3× 34 0.6× 21 391
Punchama Pacharn Thailand 16 130 0.3× 170 0.5× 514 1.8× 265 1.5× 96 1.6× 81 856
Antonina Karsonova Russia 12 147 0.4× 234 0.7× 206 0.7× 76 0.4× 38 0.6× 19 599
Melanie R. Neeland Australia 17 284 0.7× 184 0.6× 302 1.0× 63 0.3× 106 1.8× 48 767
Marianne Gerstmayr Austria 12 168 0.4× 525 1.6× 541 1.9× 275 1.5× 64 1.1× 13 984
Jenny Hankinson United Kingdom 14 132 0.3× 318 1.0× 330 1.1× 225 1.2× 68 1.1× 21 699

Countries citing papers authored by Jefferson Russo Victor

Since Specialization
Citations

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

Fields of papers citing papers by Jefferson Russo Victor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jefferson Russo Victor. 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 Jefferson Russo Victor. The network helps show where Jefferson Russo Victor may publish in the future.

Co-authorship network of co-authors of Jefferson Russo Victor

This figure shows the co-authorship network connecting the top 25 collaborators of Jefferson Russo Victor. A scholar is included among the top collaborators of Jefferson Russo Victor 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 Jefferson Russo Victor. Jefferson Russo Victor 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.
Casseb, Jorge, Sabri Saeed Sanabani, Luiz Henrique da Silva Nali, et al.. (2025). IgG Idiotype Diversity Shapes Cytokine Profiles and Autoantibody Targets in HTLV-1 Clinical Outcomes. International Journal of Molecular Sciences. 26(22). 10858–10858.
4.
Kim, Yeon Jung, Jônatas Bussador do Amaral, Luiz Henrique da Silva Nali, et al.. (2024). Role of circulating microparticles and cytokines in periodontitis associated with diabetes. Frontiers in Medicine. 11. 1394300–1394300. 2 indexed citations
5.
França, Carolina Nunes, et al.. (2024). IgG from individuals without atopy arising as mediators of a nonatopic profile in human peripheral CD4+ T cells. Annals of Allergy Asthma & Immunology. 132(6). 770–772. 3 indexed citations
6.
Victor, Jefferson Russo & Dong‐Ho Nahm. (2023). Mechanism underlying polyvalent IgG-induced regulatory T cell activation and its clinical application: Anti-idiotypic regulatory T cell theory for immune tolerance. Frontiers in Immunology. 14. 1242860–1242860. 7 indexed citations
8.
Duarte, Alberto José da Silva, et al.. (2020). Preconceptional immunization with an allergen inhibits offspring thymic Th17 cells maturation without influence on Th1 and Th2 cells. European Cytokine Network. 31(3). 113–117. 6 indexed citations
9.
Victor, Jefferson Russo, Guillaume Lezmi, & Maria Leite‐de‐Moraes. (2020). New Insights into Asthma Inflammation: Focus on iNKT, MAIT, and γδT Cells. Clinical Reviews in Allergy & Immunology. 59(3). 371–381. 25 indexed citations
10.
Victor, Jefferson Russo. (2020). The Good, the Bad and the Ugly Journals in Immunology: A Hypothesis to Facilitate Decision Making at the Time of Publishing. Journal of Scientometric Research. 8(3). 131–134. 1 indexed citations
11.
Pessôa, Rodrigo, et al.. (2020). Bacterial community composition and potential pathogens along the Pinheiros River in the southeast of Brazil. Scientific Reports. 10(1). 9331–9331. 47 indexed citations
12.
Menghini, Ricardo Palamar, et al.. (2019). IgG from Non-atopic Individuals Induces In Vitro IFN-γ and IL-10 Production by Human Intra-thymic γδT Cells: A Comparison with Atopic IgG and IVIg. Archivum Immunologiae et Therapiae Experimentalis. 67(4). 263–270. 17 indexed citations
13.
Orfali, Raquel Leão, et al.. (2019). IgG from atopic dermatitis patients induces non‐atopic infant thymic invariant natural killer T (iNKT) cells to produce IL‐4, IL‐17, and IL‐10. International Journal of Dermatology. 59(3). 359–364. 21 indexed citations
14.
Orfali, Raquel Leão, et al.. (2018). 031 IgG from atopic dermatitis patients induces IL-17 and IL-10 production in infant intra-thymic TCD4 and TCD8 cells. Journal of Investigative Dermatology. 138(5). S6–S6. 6 indexed citations
16.
Duarte, Alberto José da Silva, et al.. (2014). Maternal immunization with ovalbumin or Dermatophagoides pteronyssinus has opposing effects on FcγRIIb expression on offspring B cells. Allergy Asthma and Clinical Immunology. 10(1). 47–47. 10 indexed citations
17.
Brito, Cyro Alves de, et al.. (2010). CpG-Induced Th1-Type Response in the Downmodulation of Early Development of Allergy and Inhibition of B7 Expression on T Cells of Newborn Mice. Journal of Clinical Immunology. 30(2). 280–291. 9 indexed citations
19.
Sato, Maria Notomi, et al.. (2001). Oral Tolerance Induction in Dermatophagoides pteronyssinus -Sensitized Mice Induces Inhibition of IgE Response and Upregulation of TGF- β Secretion. Journal of Interferon & Cytokine Research. 21(10). 827–833. 14 indexed citations
20.
Maciel, Milton, et al.. (2001). Oral tolerance to the dust mite blomia tropicalis : subpopulations of IGA + Cells in galt. Revista da Sociedade Brasileira de Medicina Tropical. 34. 64. 1 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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