Roxana E. Rojas

1.6k total citations
34 papers, 1.3k citations indexed

About

Roxana E. Rojas is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Roxana E. Rojas has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 17 papers in Infectious Diseases and 9 papers in Molecular Biology. Recurrent topics in Roxana E. Rojas's work include Immune Cell Function and Interaction (15 papers), Tuberculosis Research and Epidemiology (14 papers) and Immune Response and Inflammation (13 papers). Roxana E. Rojas is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Tuberculosis Research and Epidemiology (14 papers) and Immune Response and Inflammation (13 papers). Roxana E. Rojas collaborates with scholars based in United States, Argentina and United Kingdom. Roxana E. Rojas's co-authors include W. Henry Boom, Clifford V. Harding, David H. Canaday, Adam J. Gehring, Scott A. Fulton, Scott M. Reba, David Lakey, Obondo James Sande, Marta Torres and Kithiganahalli Narayanaswamy Balaji and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Roxana E. Rojas

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roxana E. Rojas United States 20 621 601 446 332 128 34 1.3k
Agnieszka Jóźwik Poland 19 375 0.6× 260 0.4× 551 1.2× 302 0.9× 54 0.4× 33 1.4k
Leticia Monin United States 15 775 1.2× 507 0.8× 366 0.8× 288 0.9× 135 1.1× 19 1.4k
Sarah L. Londrigan Australia 22 648 1.0× 402 0.7× 485 1.1× 312 0.9× 97 0.8× 52 1.3k
Elodie Mohr United Kingdom 21 1.0k 1.6× 155 0.3× 199 0.4× 306 0.9× 122 1.0× 32 1.5k
Günter Rambach Austria 19 227 0.4× 550 0.9× 356 0.8× 166 0.5× 37 0.3× 44 1.0k
Bertrand Bellier France 21 631 1.0× 170 0.3× 338 0.8× 322 1.0× 45 0.4× 47 1.4k
Taner Cavlar Germany 7 1.5k 2.4× 577 1.0× 243 0.5× 997 3.0× 123 1.0× 7 2.0k
Jihong Dai China 24 1.4k 2.3× 342 0.6× 315 0.7× 394 1.2× 33 0.3× 59 2.2k
Johan Van Weyenbergh Brazil 26 606 1.0× 179 0.3× 542 1.2× 278 0.8× 35 0.3× 71 1.6k
Delphine Aldebert France 18 404 0.7× 204 0.3× 255 0.6× 158 0.5× 138 1.1× 42 1.0k

Countries citing papers authored by Roxana E. Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Roxana E. Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roxana E. Rojas. 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 Roxana E. Rojas. The network helps show where Roxana E. Rojas may publish in the future.

Co-authorship network of co-authors of Roxana E. Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of Roxana E. Rojas. A scholar is included among the top collaborators of Roxana E. Rojas 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 Roxana E. Rojas. Roxana E. Rojas 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.
Reba, Scott M., Qing Li, Nancy Nagy, et al.. (2024). TLR2 on CD4+ and CD8+ T cells promotes control of Mycobacterium tuberculosis infection. European Journal of Immunology. 54(5). e2350715–e2350715. 2 indexed citations
2.
Yoshimoto, Tetsuya, Mizuho Kittaka, Matthew Prideaux, et al.. (2022). Osteocytes directly regulate osteolysis via MYD88 signaling in bacterial bone infection. Nature Communications. 13(1). 6648–6648. 45 indexed citations
3.
Portillo, Jose‐Andres C., Jennifer Van Grol, Yalitza Lopez Corcino, et al.. (2019). CD40 in Endothelial Cells Restricts Neural Tissue Invasion by Toxoplasma gondii. Infection and Immunity. 87(8). 9 indexed citations
4.
Athman, Jaffre J., Obondo James Sande, Scott M. Reba, et al.. (2017). Mycobacterium tuberculosis Membrane Vesicles Inhibit T Cell Activation. The Journal of Immunology. 198(5). 2028–2037. 80 indexed citations
5.
Reba, Scott M., et al.. (2017). Toll like Receptor 2 engagement on CD4+ T cells promotes TH9 differentiation and function. European Journal of Immunology. 47(9). 1513–1524. 37 indexed citations
6.
Alvarez-Carbonell, David, Yoelvis García‐Mesa, Biswajit Das, et al.. (2017). Toll-like receptor 3 activation selectively reverses HIV latency in microglial cells. Retrovirology. 14(1). 9–9. 80 indexed citations
7.
Li, Qing, Xuedong Ding, Biswajit Das, et al.. (2016). Novel high throughput pooled shRNA screening identifies NQO1 as a potential drug target for host directed therapy for tuberculosis. Scientific Reports. 6(1). 27566–27566. 16 indexed citations
8.
9.
Rodríguez, Myriam E., Candace M. Loyd, Xuedong Ding, et al.. (2013). Mycobacterial Phosphatidylinositol Mannoside 6 (PIM6) Up-Regulates TCR-Triggered HIV-1 Replication in CD4+ T Cells. PLoS ONE. 8(11). e80938–e80938. 13 indexed citations
10.
Sande, Obondo James, et al.. (2012). Mycobacterium tuberculosis ManLAM inhibits T-cell-receptor signaling by interference with ZAP-70, Lck and LAT phosphorylation. Cellular Immunology. 275(1-2). 98–105. 55 indexed citations
11.
Toossi, Zahra, Mianda Wu, Roxana E. Rojas, et al.. (2011). Induction of Serine Protease Inhibitor 9 by Mycobacterium tuberculosis Inhibits Apoptosis and Promotes Survival of Infected Macrophages. The Journal of Infectious Diseases. 205(1). 144–151. 16 indexed citations
12.
Drage, Michael G., Nicole Pecora, Supriya Shukla, et al.. (2010). Mycobacterium tuberculosis lipoprotein LprG (Rv1411c) binds triacylated glycolipid agonists of Toll-like receptor 2. Nature Structural & Molecular Biology. 17(9). 1088–1095. 107 indexed citations
13.
Lancioni, Christina, et al.. (2009). Activation requirements and responses to TLR ligands in human CD4+ T cells: Comparison of two T cell isolation techniques. Journal of Immunological Methods. 344(1). 15–25. 19 indexed citations
14.
15.
Rojas, Roxana E., Adam J. Gehring, Preston J. Hill, et al.. (2006). Phosphatidylinositol Mannoside from Mycobacterium tuberculosis Binds α5β1 Integrin (VLA-5) on CD4+ T Cells and Induces Adhesion to Fibronectin. The Journal of Immunology. 177(5). 2959–2968. 30 indexed citations
16.
Rojas, Roxana E., Keith Chervenak, Sarah Zalwango, et al.. (2005). Vδ2+γδ T Cell Function inMycobacterium tuberculosis–and HIV‐1–Positive Patients in the United States and Uganda: Application of a Whole‐Blood Assay. The Journal of Infectious Diseases. 192(10). 1806–1814. 15 indexed citations
17.
Boom, W. Henry, David H. Canaday, Scott A. Fulton, et al.. (2003). Human immunity to M. tuberculosis: T cell subsets and antigen processing. Tuberculosis. 83(1-3). 98–106. 123 indexed citations
18.
Rojas, Roxana E. & Amada Segal‐Eiras. (1997). Characterization of circulating immune complexes in leprosy patients and their correlation with specific antibodies against Mycobacterium leprae. Clinical and Experimental Dermatology. 22(5). 223–229. 4 indexed citations
19.
20.
Rojas, Roxana E. & Amada Segal‐Eiras. (1996). Immunoglobulin G response against 10-kDa and 65-kDa heat-shock proteins in leprosy patients and their household contacts. FEMS Immunology & Medical Microbiology. 15(4). 189–198. 7 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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