Dayson Moreira

1.4k total citations
33 papers, 1.1k citations indexed

About

Dayson Moreira is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Dayson Moreira has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 18 papers in Immunology and 10 papers in Molecular Biology. Recurrent topics in Dayson Moreira's work include Cytokine Signaling Pathways and Interactions (10 papers), Immune cells in cancer (8 papers) and Immune Response and Inflammation (7 papers). Dayson Moreira is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), Immune cells in cancer (8 papers) and Immune Response and Inflammation (7 papers). Dayson Moreira collaborates with scholars based in United States, Brazil and Poland. Dayson Moreira's co-authors include Marcin Kortylewski, José Ernesto Belizário, Stephen J. Forman, Sumanta K. Pal, Haejung Won, Dewan Md Sakib Hossain, Qifang Zhang, Piotr Swiderski, Priyanka Duttagupta and Massimo D’Apuzzo and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dayson Moreira

33 papers receiving 1.1k citations

Peers

Dayson Moreira
Xinming Su United States
Ashleigh R. Poh Australia
Ang Cui United States
Weina Yu China
Veronica C. Ardi United States
Xinming Su United States
Dayson Moreira
Citations per year, relative to Dayson Moreira Dayson Moreira (= 1×) peers Xinming Su

Countries citing papers authored by Dayson Moreira

Since Specialization
Citations

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

Fields of papers citing papers by Dayson Moreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayson Moreira

This figure shows the co-authorship network connecting the top 25 collaborators of Dayson Moreira. A scholar is included among the top collaborators of Dayson Moreira 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 Dayson Moreira. Dayson Moreira 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.
Alcantara, Marice, Dongfang Wang, Elaine Kang, et al.. (2024). Targeting STAT3 in tumor-associated antigen-presenting cells as a strategy for kidney and bladder cancer immunotherapy. Frontiers in Immunology. 14. 1274781–1274781. 10 indexed citations
2.
Kang, Elaine, Tom Haber, Dayson Moreira, et al.. (2021). Large, Anionic Liposomes Enable Targeted Intraperitoneal Delivery of a TLR 7/8 Agonist To Repolarize Ovarian Tumors’ Microenvironment. Bioconjugate Chemistry. 32(8). 1581–1592. 25 indexed citations
3.
Moreira, Dayson, Sagus Sampath, Haejung Won, et al.. (2020). Myeloid cell–targeted STAT3 inhibition sensitizes head and neck cancers to radiotherapy and T cell–mediated immunity. Journal of Clinical Investigation. 131(2). 71 indexed citations
4.
Nouizi, Farouk, Dayson Moreira, Marcin Kortylewski, et al.. (2020). Automated in Vivo Assessment of Vascular Response to Radiation Using a Hybrid Theranostic X-Ray Irradiator/Fluorescence Molecular Imaging System. IEEE Access. 8. 93663–93670. 2 indexed citations
5.
Zhang, Zhuoran, Xingli Zhao, Dongfang Wang, et al.. (2020). Targeted In Vivo Delivery of NF-κB Decoy Inhibitor Augments Sensitivity of B Cell Lymphoma to Therapy. Molecular Therapy. 29(3). 1214–1225. 8 indexed citations
6.
Su, Yu‐Lin, Xiuli Wang, Mati Mann, et al.. (2019). Myeloid cell–targeted miR-146a mimic inhibits NF-κB–driven inflammation and leukemia progression in vivo. Blood. 135(3). 167–180. 97 indexed citations
7.
Moreira, Dayson, Tomasz Adamus, Xingli Zhao, et al.. (2018). STAT3 Inhibition Combined with CpG Immunostimulation Activates Antitumor Immunity to Eradicate Genetically Distinct Castration-Resistant Prostate Cancers. Clinical Cancer Research. 24(23). 5948–5962. 64 indexed citations
8.
Zhang, Zhuoran, Dayson Moreira, Yu‐Lin Su, et al.. (2018). Inhibition of Survival Signaling in B-Cell Lymphoma Using TLR9-Targeted Delivery of NF-Kb Decoy Oligodeoxynucleotides in Vitro and in Vivo. Experimental Hematology. 64. S113–S113. 1 indexed citations
9.
Zhao, Xingli, Zhuoran Zhang, Dayson Moreira, et al.. (2018). B Cell Lymphoma Immunotherapy Using TLR9-Targeted Oligonucleotide STAT3 Inhibitors. Molecular Therapy. 26(3). 695–707. 26 indexed citations
10.
Kortylewski, Marcin & Dayson Moreira. (2017). Myeloid cells as a target for oligonucleotide therapeutics: turning obstacles into opportunities. Cancer Immunology Immunotherapy. 66(8). 979–988. 45 indexed citations
11.
Belizário, José Ernesto, et al.. (2016). Using Pharmacogenomic Databases for Discovering Patient-Target Genes and Small Molecule Candidates to Cancer Therapy. Frontiers in Pharmacology. 7. 312–312. 22 indexed citations
12.
Hossain, Dewan Md Sakib, Sumanta K. Pal, Dayson Moreira, et al.. (2015). TLR9-Targeted STAT3 Silencing Abrogates Immunosuppressive Activity of Myeloid-Derived Suppressor Cells from Prostate Cancer Patients. Clinical Cancer Research. 21(16). 3771–3782. 156 indexed citations
13.
Hossain, Dewan Md Sakib, Dayson Moreira, Qifang Zhang, et al.. (2015). TLR9-Targeted SiRNA Delivery In Vivo. Methods in molecular biology. 1364. 183–196. 6 indexed citations
14.
Moreira, Dayson, Daniel R. Carrasco, Jun Yao, et al.. (2015). Dermcidin exerts its oncogenic effects in breast cancer via modulation of ERBB signaling. BMC Cancer. 15(1). 70–70. 21 indexed citations
15.
Moreira, Dayson, et al.. (2014). Cell Death-Associated Molecular-Pattern Molecules: Inflammatory Signaling and Control. Mediators of Inflammation. 2014. 1–14. 106 indexed citations
16.
Nechaev, Sergey, Chan Gao, Dayson Moreira, et al.. (2013). Intracellular processing of immunostimulatory CpG–siRNA: Toll-like receptor 9 facilitates siRNA dicing and endosomal escape. Journal of Controlled Release. 170(3). 307–315. 42 indexed citations
17.
Bonuccelli, Gloria, Thaís Peixoto Gaiad, Dayson Moreira, et al.. (2013). Bortezomib (PS-341) Treatment Decreases Inflammation and Partially Rescues the Expression of the Dystrophin-Glycoprotein Complex in GRMD Dogs. PLoS ONE. 8(4). e61367–e61367. 33 indexed citations
18.
Paschoalin, Thaysa, Dayson Moreira, José Ernesto Belizário, et al.. (2012). Identification of a metallopeptidase with TOP-like activity inParacoccidioides brasiliensis, with increased expression in a virulent strain. Medical Mycology. 50(1). 81–90. 4 indexed citations
19.
Matsuo, Alisson L., Felipe V. Pereira, Mariana H. Massaoka, et al.. (2011). Role of SOCS-1 Gene on Melanoma Cell Growth and Tumor Development. Translational Oncology. 4(2). 101–109. 21 indexed citations
20.
Moreira, Dayson, Bryan E. Strauss, Edouard Vannier, & José Ernesto Belizário. (2008). Genes up- and down-regulated by dermcidin in breast cancer: a microarray analysis. Genetics and Molecular Research. 7(3). 925–932. 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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