David Saliba

1.4k total citations
19 papers, 970 citations indexed

About

David Saliba is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, David Saliba has authored 19 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in David Saliba's work include NF-κB Signaling Pathways (5 papers), interferon and immune responses (4 papers) and Immune Cell Function and Interaction (3 papers). David Saliba is often cited by papers focused on NF-κB Signaling Pathways (5 papers), interferon and immune responses (4 papers) and Immune Cell Function and Interaction (3 papers). David Saliba collaborates with scholars based in United Kingdom, France and Malta. David Saliba's co-authors include Irina A. Udalova, Katrina Blazek, Alessandra Lanfrancotti, Grigory Ryzhakov, Miriam Weiss, Adam J. Byrne, Thomas Krausgruber, Hayley L. Eames, Jiannis Ragoussis and Ana Teixeira and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David Saliba

19 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Saliba United Kingdom 14 562 375 179 171 107 19 970
Luman Wang China 19 617 1.1× 304 0.8× 120 0.7× 154 0.9× 91 0.9× 57 1.1k
Jagan Muppidi United States 16 647 1.2× 760 2.0× 171 1.0× 221 1.3× 115 1.1× 33 1.3k
Zhihua Ruan China 21 400 0.7× 391 1.0× 196 1.1× 318 1.9× 162 1.5× 50 1.1k
Nadège Kindt Belgium 18 472 0.8× 242 0.6× 131 0.7× 245 1.4× 51 0.5× 30 856
H. Elizabeth Broome United States 12 385 0.7× 516 1.4× 110 0.6× 192 1.1× 54 0.5× 29 1.1k
Ksanthi Kranidioti Greece 11 423 0.8× 391 1.0× 131 0.7× 105 0.6× 87 0.8× 14 863
Srividya Sriskantharajah United Kingdom 12 355 0.6× 382 1.0× 149 0.8× 239 1.4× 63 0.6× 15 1.0k
Sarah H. Ross United Kingdom 11 517 0.9× 459 1.2× 71 0.4× 254 1.5× 75 0.7× 15 1.1k
Katherine Oravecz-Wilson United States 23 418 0.7× 696 1.9× 167 0.9× 273 1.6× 118 1.1× 50 1.3k
Romania Stilo Italy 17 412 0.7× 366 1.0× 322 1.8× 112 0.7× 95 0.9× 37 818

Countries citing papers authored by David Saliba

Since Specialization
Citations

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

Fields of papers citing papers by David Saliba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Saliba

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

All Works

19 of 19 papers shown
1.
Kvalvaag, Audun, Salvatore Valvo, David Saliba, et al.. (2023). Clathrin mediates both internalization and vesicular release of triggered T cell receptor at the immunological synapse. Proceedings of the National Academy of Sciences. 120(6). e2211368120–e2211368120. 17 indexed citations
2.
Saliba, David, et al.. (2021). Tyrosol, at the Concentration Found in Maltese Extra Virgin Olive Oil, Induces HL-60 Differentiation towards the Monocyte lineage. Applied Sciences. 11(21). 10199–10199. 4 indexed citations
3.
Saliba, David, Štefan Bálint, Ewoud B. Compeer, et al.. (2019). Composition and structure of synaptic ectosomes exporting antigen receptor linked to functional CD40 ligand from helper T cells. eLife. 8. 56 indexed citations
4.
Papa, Ilenia, David Saliba, Maurilio Ponzoni, et al.. (2017). TFH-derived dopamine accelerates productive synapses in germinal centres. Nature. 547(7663). 318–323. 113 indexed citations
5.
Seneviratne, Anusha N., Andreas Edsfeldt, Jennifer E. Cole, et al.. (2017). Interferon Regulatory Factor 5 Controls Necrotic Core Formation in Atherosclerotic Lesions by Impairing Efferocytosis. Circulation. 136(12). 1140–1154. 83 indexed citations
6.
Byrne, Adam J., Miriam Weiss, Sara A. Mathie, et al.. (2016). A critical role for IRF5 in regulating allergic airway inflammation. Mucosal Immunology. 10(3). 716–726. 31 indexed citations
7.
Alzaïd, Fawaz, Miguel Albuquerque, Raphaëlle Ballaire, et al.. (2016). IRF5 governs liver macrophage activation that promotes hepatic fibrosis in mice and humans. JCI Insight. 1(20). e88689–e88689. 47 indexed citations
8.
Weiss, Miriam, Adam J. Byrne, Katrina Blazek, et al.. (2015). IRF5 controls both acute and chronic inflammation. Proceedings of the National Academy of Sciences. 112(35). 11001–11006. 116 indexed citations
9.
Saliba, David, Andreas Heger, Hayley L. Eames, et al.. (2014). IRF5:RelA Interaction Targets Inflammatory Genes in Macrophages. Cell Reports. 8(5). 1308–1317. 82 indexed citations
10.
Ryzhakov, Grigory, Ana Teixeira, David Saliba, et al.. (2013). Cross-species Analysis Reveals Evolving and Conserved Features of the Nuclear Factor κB (NF-κB) Proteins. Journal of Biological Chemistry. 288(16). 11546–11554. 12 indexed citations
11.
Eames, Hayley L., David Saliba, Thomas Krausgruber, et al.. (2012). KAP1/TRIM28: An inhibitor of IRF5 function in inflammatory macrophages. Immunobiology. 217(12). 1315–1324. 60 indexed citations
12.
Saliba, David, et al.. (2012). FOXO3 as a new IKK‐ε‐controlled check‐point of regulation of IFN‐β expression. European Journal of Immunology. 42(4). 1030–1037. 26 indexed citations
13.
Cuhlmann, Simon, Kim Van der Heiden, David Saliba, et al.. (2011). Disturbed Blood Flow Induces RelA Expression via c-Jun N-Terminal Kinase 1. Circulation Research. 108(8). 950–959. 95 indexed citations
14.
Wong, Daniel, Ana Teixeira, Spyros Oikonomopoulos, et al.. (2011). Extensive characterization of NF-κB binding uncovers non-canonical motifs and advances the interpretation of genetic functional traits. Genome biology. 12(7). R70–R70. 123 indexed citations
15.
Krausgruber, Thomas, David Saliba, Katrina Blazek, et al.. (2010). SS5-2 IRF5 as a defining factor of M1 macrophage polarization. Cytokine. 52(1-2). 44–44. 1 indexed citations
16.
Krausgruber, Thomas, David Saliba, Grigory Ryzhakov, et al.. (2010). IRF5 is required for late-phase TNF secretion by human dendritic cells. Blood. 115(22). 4421–4430. 79 indexed citations
17.
Shimizu, Harumi, David Saliba, Maura Wallace, et al.. (2006). Destabilizing missense mutations in the tumour suppressor protein p53 enhance its ubiquitination in vitro and in vivo. Biochemical Journal. 397(2). 355–367. 23 indexed citations
18.
Saliba, David, et al.. (1998). Evaluation de la numération des réticulocytes par le système reticONE™ (Coulter). Revue Française des Laboratoires. 1998(299). 19–22. 1 indexed citations
19.
Bailey, Andy M., et al.. (1991). Induced proto-oncogene expression increases susceptibility to radiation-induced carcinogenesis.. PubMed. 369. 105–13. 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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