Gabrielle Romain

969 total citations
19 papers, 575 citations indexed

About

Gabrielle Romain is a scholar working on Oncology, Immunology and Biomedical Engineering. According to data from OpenAlex, Gabrielle Romain has authored 19 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Immunology and 7 papers in Biomedical Engineering. Recurrent topics in Gabrielle Romain's work include CAR-T cell therapy research (11 papers), Immunotherapy and Immune Responses (6 papers) and Nanowire Synthesis and Applications (6 papers). Gabrielle Romain is often cited by papers focused on CAR-T cell therapy research (11 papers), Immunotherapy and Immune Responses (6 papers) and Nanowire Synthesis and Applications (6 papers). Gabrielle Romain collaborates with scholars based in United States, France and Australia. Gabrielle Romain's co-authors include Navin Varadarajan, Ivan Liadi, Badrinath Roysam, Laurence J.N. Cooper, Nicolas Rey-Villamizar, Roger Le Grand, Harjeet Singh, Gérard Zurawski, Jacques Banchereau and Anne-Laure Flamar and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Gabrielle Romain

18 papers receiving 564 citations

Peers

Gabrielle Romain
Charles H. Pletcher United States
Michael D. Crowther Denmark
Anna Oszmiana United Kingdom
Jennifer Lynch United States
Maarten A. Ligtenberg Netherlands
Andrea Imle Germany
Adebola O. Ogunniyi United States
Marian L. Turner Australia
Béatrice Corre France
Kylie M. Price New Zealand
Charles H. Pletcher United States
Gabrielle Romain
Citations per year, relative to Gabrielle Romain Gabrielle Romain (= 1×) peers Charles H. Pletcher

Countries citing papers authored by Gabrielle Romain

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Romain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Romain

This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Romain. A scholar is included among the top collaborators of Gabrielle Romain 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 Gabrielle Romain. Gabrielle Romain 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.
Romain, Gabrielle, Paolo Strati, Ali Rezvan, et al.. (2022). Multidimensional single-cell analysis identifies a role for CD2-CD58 interactions in clinical antitumor T cell responses. Journal of Clinical Investigation. 132(17). 36 indexed citations
2.
Bandey, Irfan, Gabrielle Romain, Melisa Martinez-Paniagua, et al.. (2021). Designed improvement to T-cell immunotherapy by multidimensional single cell profiling. Journal for ImmunoTherapy of Cancer. 9(3). e001877–e001877. 13 indexed citations
3.
An, Xingyue, Gabrielle Romain, Melisa Martinez-Paniagua, et al.. (2019). CAR+ T cell anti-tumor efficacy revealed by multi-dimensional single-cell profiling. The Journal of Immunology. 202(1_Supplement). 134.2–134.2. 1 indexed citations
4.
Mahendra, Ankit, Xingyu Yang, Daechan Park, et al.. (2018). Beyond Autoantibodies: Biologic Roles of Human Autoreactive B Cells in Rheumatoid Arthritis Revealed by RNA‐Sequencing. Arthritis & Rheumatology. 71(4). 529–541. 23 indexed citations
5.
6.
An, Xingyue, Victor G. Sendra, Ivan Liadi, et al.. (2017). Single-cell profiling of dynamic cytokine secretion and the phenotype of immune cells. PLoS ONE. 12(8). e0181904–e0181904. 37 indexed citations
7.
Singh, Harjeet, M. Helen Huls, Matthew J. Figliola, et al.. (2016). 278. Next-Generation Non-Viral Gene Transfer to Redirect T-Cell Specificity. Molecular Therapy. 24. S110–S111.
8.
Liadi, Ivan, Harjeet Singh, Gabrielle Romain, et al.. (2015). Individual Motile CD4+ T Cells Can Participate in Efficient Multikilling through Conjugation to Multiple Tumor Cells. Cancer Immunology Research. 3(5). 473–482. 76 indexed citations
9.
Rey-Villamizar, Nicolas, Yanbin Lu, Ivan Liadi, et al.. (2015). Automated profiling of individual cell–cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING). Bioinformatics. 31(19). 3189–3197. 34 indexed citations
10.
Liadi, Ivan, Harjeet Singh, Gabrielle Romain, et al.. (2015). Defining potency of CAR+ T cells: Fast and furious or slow and steady. OncoImmunology. 8(10). e1051298–e1051298. 7 indexed citations
11.
Épaulard, Olivier, Candice Poux, Gérard Zurawski, et al.. (2014). Macrophage- and Neutrophil-Derived TNF-α Instructs Skin Langerhans Cells To Prime Antiviral Immune Responses. The Journal of Immunology. 193(5). 2416–2426. 30 indexed citations
12.
Romain, Gabrielle, Vladimir Senyukov, Nicolas Rey-Villamizar, et al.. (2014). Antibody Fc engineering improves frequency and promotes kinetic boosting of serial killing mediated by NK cells. Blood. 124(22). 3241–3249. 71 indexed citations
13.
Liadi, Ivan, Jason Roszik, Gabrielle Romain, Laurence J.N. Cooper, & Navin Varadarajan. (2013). Quantitative High-throughput Single-cell Cytotoxicity Assay For T Cells. Journal of Visualized Experiments. e50058–e50058. 17 indexed citations
14.
Sendra, Victor G., et al.. (2013). Detection and isolation of auto-reactive human antibodies from primary B cells. Methods. 64(2). 153–159. 13 indexed citations
15.
Varadarajan, Navin, Ivan Liadi, Gabrielle Romain, Harjeet Singh, & Laurence J.N. Cooper. (2013). Abstract 4745: Quantitative single-cell functional characterization of CD19-specific CAR+ T Cells for immunotherapy.. Cancer Research. 73(8_Supplement). 4745–4745. 1 indexed citations
16.
Liadi, Ivan, Jason Roszik, Gabrielle Romain, Laurence J.N. Cooper, & Navin Varadarajan. (2013). Quantitative High-throughput Single-cell Cytotoxicity Assay For T Cells. Journal of Visualized Experiments. 5 indexed citations
17.
Li, Dapeng, Gabrielle Romain, Anne-Laure Flamar, et al.. (2012). Targeting self- and foreign antigens to dendritic cells via DC-ASGPR generates IL-10–producing suppressive CD4+ T cells. The Journal of Experimental Medicine. 209(1). 109–121. 141 indexed citations
18.
Romain, Gabrielle, Ellen Van Gulck, Olivier Épaulard, et al.. (2012). CD34‐derived dendritic cells transfected ex vivo with HIV‐Gag mRNA induce polyfunctional T‐cell responses in nonhuman primates. European Journal of Immunology. 42(8). 2019–2030. 20 indexed citations
19.
Martinon, Frédéric, Katrin Kaldma, Slobodan Čulina, et al.. (2009). Persistent Immune Responses Induced by a Human Immunodeficiency Virus DNA Vaccine Delivered in Association with Electroporation in the Skin of Nonhuman Primates. Human Gene Therapy. 20(11). 1291–1307. 40 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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