Dania Rabah

764 total citations
18 papers, 555 citations indexed

About

Dania Rabah is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dania Rabah has authored 18 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Rheumatology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dania Rabah's work include Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Dania Rabah is often cited by papers focused on Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Dania Rabah collaborates with scholars based in United States, Switzerland and Poland. Dania Rabah's co-authors include Alex Pellerin, Nathalie Franchimont, Victoria P. Werth, Wenting Wang, Agnès Gardet, Lauren Stevenson, Himanshu Naik, Catherine Barbey, Stefan Hamann and Joseph F. Merola and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Dania Rabah

18 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dania Rabah United States 10 336 246 144 89 75 18 555
K. Merétey Hungary 9 235 0.7× 107 0.4× 121 0.8× 57 0.6× 48 0.6× 19 450
Taras Lyubchenko United States 13 289 0.9× 44 0.2× 137 1.0× 45 0.5× 77 1.0× 33 596
Rustom Falahati United States 12 442 1.3× 123 0.5× 291 2.0× 34 0.4× 63 0.8× 17 696
Hiroto Ishikura Japan 12 256 0.8× 85 0.3× 275 1.9× 20 0.2× 73 1.0× 25 705
Martina Gogarty Ireland 14 188 0.6× 187 0.8× 176 1.2× 19 0.2× 97 1.3× 18 506
Carina Vingsbo Sweden 8 262 0.8× 168 0.7× 82 0.6× 82 0.9× 154 2.1× 8 454
Julia T. Tanassi Denmark 10 164 0.5× 82 0.3× 186 1.3× 22 0.2× 22 0.3× 15 414
Kai-Ting Shade United States 7 301 0.9× 96 0.4× 224 1.6× 147 1.7× 25 0.3× 7 575
Andrew Abdulahad United Kingdom 7 161 0.5× 41 0.2× 98 0.7× 117 1.3× 109 1.5× 9 413
Pamela Hall Australia 8 714 2.1× 87 0.4× 92 0.6× 19 0.2× 69 0.9× 11 852

Countries citing papers authored by Dania Rabah

Since Specialization
Citations

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

Fields of papers citing papers by Dania Rabah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dania Rabah

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

All Works

18 of 18 papers shown
1.
Helou, Ynes, Joanna R. DiSpirito, Brian A. DeChristopher, et al.. (2022). Pharmacological Inhibition of MALT1 Ameliorates Autoimmune Pathogenesis and Can Be Uncoupled From Effects on Regulatory T-Cells. Frontiers in Immunology. 13. 875320–875320. 14 indexed citations
2.
Merola, Joseph F., Wenting Wang, Carrie Wager, et al.. (2021). RNA tape sampling in cutaneous lupus erythematosus discriminates affected from unaffected and healthy volunteer skin. Lupus Science & Medicine. 8(1). e000428–e000428. 9 indexed citations
3.
Dillon, Gregory M., Jaclyn L. Henderson, John A. Joyce, et al.. (2020). Acute inhibition of the CNS-specific kinase TTBK1 significantly lowers tau phosphorylation at several disease relevant sites. PLoS ONE. 15(4). e0228771–e0228771. 16 indexed citations
4.
Hartmann, Sonja, Konstantinos Biliouris, Himanshu Naik, et al.. (2020). A clinical population pharmacokinetic/pharmacodynamic model for BIIB059, a monoclonal antibody for the treatment of systemic and cutaneous lupus erythematosus. Journal of Pharmacokinetics and Pharmacodynamics. 47(3). 255–266. 9 indexed citations
5.
Furie, Richard, Victoria P. Werth, Joseph F. Merola, et al.. (2019). Monoclonal antibody targeting BDCA2 ameliorates skin lesions in systemic lupus erythematosus. Journal of Clinical Investigation. 129(3). 1359–1371. 193 indexed citations
6.
Gardet, Agnès, Alex Pellerin, Christie‐Ann McCarl, et al.. (2019). Effect of in vivo Hydroxychloroquine and ex vivo Anti-BDCA2 mAb Treatment on pDC IFNα Production From Patients Affected With Cutaneous Lupus Erythematosus. Frontiers in Immunology. 10. 275–275. 30 indexed citations
7.
Werth, Victoria P., Joseph F. Merola, Richard Furie, et al.. (2018). 1081 BIIB059, a monoclonal antibody targeting BDCA2, decreases Type I Interferon-related genes transcriptional activity in subjects with systemic lupus erythematosus (SLE) and active cutaneous LE (CLE). Journal of Investigative Dermatology. 138(5). S183–S183. 2 indexed citations
8.
Biliouris, Konstantinos, Ivan Nestorov, Himanshu Naik, et al.. (2018). A pre-clinical quantitative model predicts the pharmacokinetics/pharmacodynamics of an anti-BDCA2 monoclonal antibody in humans. Journal of Pharmacokinetics and Pharmacodynamics. 45(6). 817–827. 12 indexed citations
9.
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11.
Furie, Richard, V. Werth, Joseph F. Merola, et al.. (2017). SAT0222 BIIB059, a monoclonal antibody targeting BDCA2, shows evidence of biological activity and early clinical proof of concept in subjects with active cutaneous le. Annals of the Rheumatic Diseases. 76. 857–857. 6 indexed citations
12.
Gardet, Agnès, Wei‐Chun Chou, Taylor L. Reynolds, et al.. (2016). Pristane-Accelerated Autoimmune Disease in (SWR X NZB) F1 Mice Leads to Prominent Tubulointerstitial Inflammation and Human Lupus Nephritis-Like Fibrosis. PLoS ONE. 11(10). e0164423–e0164423. 8 indexed citations
13.
Pellerin, Alex, Karel Otero, Julie Czerkowicz, et al.. (2015). Anti‐ BDCA 2 monoclonal antibody inhibits plasmacytoid dendritic cell activation through Fc‐dependent and Fc‐independent mechanisms. EMBO Molecular Medicine. 7(4). 464–476. 92 indexed citations
14.
Gomez‐Ospina, Natalia, Georgia Panagiotakos, Thomas Portmann, et al.. (2013). A Promoter in the Coding Region of the Calcium Channel Gene CACNA1C Generates the Transcription Factor CCAT. PLoS ONE. 8(4). e60526–e60526. 31 indexed citations
15.
Yun, Theodore J., Keith Giza, Dania Rabah, et al.. (2010). EC144, a Synthetic Inhibitor of Heat Shock Protein 90, Blocks Innate and Adaptive Immune Responses in Models of Inflammation and Autoimmunity. The Journal of Immunology. 186(1). 563–575. 74 indexed citations
16.
Rabah, Dania & Daniel H. Conrad. (2002). Effect of cell density on in vitro mouse immunoglobulin E production. Immunology. 106(4). 503–510. 16 indexed citations
17.
Rabah, Dania, et al.. (2001). Bryostatin-1 Specifically Inhibits In Vitro IgE Synthesis. The Journal of Immunology. 167(9). 4910–4918. 8 indexed citations
18.
Barbour, Suzanne E., et al.. (1998). Mature macrophage cell lines exhibit variable responses to LPS. Molecular Immunology. 35(14-15). 977–987. 31 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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