Gabriela Plesa

13.1k total citations · 6 hit papers
45 papers, 4.5k citations indexed

About

Gabriela Plesa is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Gabriela Plesa has authored 45 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 14 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Gabriela Plesa's work include CAR-T cell therapy research (35 papers), Virus-based gene therapy research (10 papers) and Immune Cell Function and Interaction (9 papers). Gabriela Plesa is often cited by papers focused on CAR-T cell therapy research (35 papers), Virus-based gene therapy research (10 papers) and Immune Cell Function and Interaction (9 papers). Gabriela Plesa collaborates with scholars based in United States, United Kingdom and Japan. Gabriela Plesa's co-authors include Carl H. June, Bruce L. Levine, Michael Kalos, Gregory L. Beatty, Drew A. Torigian, Michael C. Soulen, James L. Riley, Wei‐Ting Hwang, Gwendolyn Binder-Scholl and Marcela V. Maus and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Gabriela Plesa

43 papers receiving 4.4k citations

Hit Papers

Gene Editing of CCR5 in Autologous CD4 T Cells of Persons... 2012 2026 2016 2021 2014 2013 2012 2018 2022 250 500 750

Peers

Gabriela Plesa
Carmine Carpenito United States
Omkar U. Kawalekar United States
Rimas J. Orentas United States
Boro Dropulić United States
Carolina Colli Cruz United States
David DiGiusto United States
Gwenn Danet-Desnoyers United States
Gwendolyn K. Binder United States
Hans J. Stauss United Kingdom
Daniel J. Landsburg United States
Carmine Carpenito United States
Gabriela Plesa
Citations per year, relative to Gabriela Plesa Gabriela Plesa (= 1×) peers Carmine Carpenito

Countries citing papers authored by Gabriela Plesa

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Plesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Plesa

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Plesa. A scholar is included among the top collaborators of Gabriela Plesa 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 Gabriela Plesa. Gabriela Plesa 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.
Jain, Achin, Mercy Gohil, Edward Pequignot, et al.. (2024). HARNESSING POTENT NAÏVE LIKE T CELLS FOR PRECISION CAR T MANUFACTURING. Cytotherapy. 26(6). S135–S135. 1 indexed citations
2.
3.
Jung, In-Young, Estela Noguera-Ortega, Erik F. Williams, et al.. (2023). Tissue-resident memory CAR T cells with stem-like characteristics display enhanced efficacy against solid and liquid tumors. Cell Reports Medicine. 4(6). 101053–101053. 36 indexed citations
4.
Jung, In-Young, Vivek Narayan, Andrew J. Rech, et al.. (2022). BLIMP1 and NR4A3 transcription factors reciprocally regulate antitumor CAR T cell stemness and exhaustion. Science Translational Medicine. 14(670). eabn7336–eabn7336. 82 indexed citations
5.
Jacobson, Jeffrey M., Julie K. Jadlowsky, Simon F. Lacey, et al.. (2020). Autologous CD4 T Lymphocytes Modified with a Tat-Dependent, Virus-Specific Endoribonuclease Gene in HIV-Infected Individuals. Molecular Therapy. 29(2). 626–635. 5 indexed citations
6.
Ko, Andrew H., Alexander C. Jordan, Simon F. Lacey, et al.. (2020). Dual Targeting of Mesothelin and CD19 with Chimeric Antigen Receptor-Modified T Cells in Patients with Metastatic Pancreatic Cancer. Molecular Therapy. 28(11). 2367–2378. 42 indexed citations
7.
Beatty, Gregory L., Mark H. O’Hara, Simon F. Lacey, et al.. (2018). Activity of Mesothelin-Specific Chimeric Antigen Receptor T Cells Against Pancreatic Carcinoma Metastases in a Phase 1 Trial. Gastroenterology. 155(1). 29–32. 379 indexed citations breakdown →
8.
Wang, Sumei, Donald M. O’Rourke, Sanjeev Chawla, et al.. (2018). Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma. British Journal of Cancer. 120(1). 54–56. 29 indexed citations
9.
Marcucci, Katherine T., Julie K. Jadlowsky, Wei‐Ting Hwang, et al.. (2017). Retroviral and Lentiviral Safety Analysis of Gene-Modified T Cell Products and Infused HIV and Oncology Patients. Molecular Therapy. 26(1). 269–279. 91 indexed citations
10.
O’Hara, Mark H., Caitlin Stashwick, Gabriela Plesa, & János L. Tanyi. (2017). Overcoming Barriers of car T-cell Therapy in Patients with Mesothelin-Expressing Cancers. Immunotherapy. 9(9). 767–780. 12 indexed citations
12.
Beatty, Gregory L., Mark H. O’Hara, Anne Marie Nelson, et al.. (2015). Safety and antitumor activity of chimeric antigen receptor modified T cells in patients with chemotherapy refractory metastatic pancreatic cancer.. Journal of Clinical Oncology. 33(15_suppl). 3007–3007. 45 indexed citations
13.
Tebas, Pablo, David Stein, Winson W. Tang, et al.. (2014). Gene Editing of CCR5 in Autologous CD4 T Cells of Persons Infected with HIV. New England Journal of Medicine. 370(10). 901–910. 973 indexed citations breakdown →
14.
Beatty, Gregory L., Andrew R. Haas, Marcela V. Maus, et al.. (2013). Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignancies. Cancer Immunology Research. 2(2). 112–120. 693 indexed citations breakdown →
15.
Brennan, Andrea, Shuguang Jiang, Gwendolyn Binder-Scholl, et al.. (2013). Efficient Clinical Scale Gene Modification via Zinc Finger Nuclease–Targeted Disruption of the HIV Co-receptor CCR5. Human Gene Therapy. 24(3). 245–258. 91 indexed citations
16.
Mukherjee, Rithun, Gabriela Plesa, Scott Sherrill-Mix, et al.. (2010). HIV Sequence Variation Associated With env Antisense Adoptive T-cell Therapy in the hNSG Mouse Model. Molecular Therapy. 18(4). 803–811. 15 indexed citations
17.
Francica, Joseph R., Angel Varela‐Rohena, Andrew Medvec, et al.. (2010). Steric Shielding of Surface Epitopes and Impaired Immune Recognition Induced by the Ebola Virus Glycoprotein. PLoS Pathogens. 6(9). e1001098–e1001098. 120 indexed citations
18.
Plesa, Gabriela, Adam E. Snook, Scott A. Waldman, & Laurence C. Eisenlohr. (2008). Derivation and Fluidity of Acutely Induced Dysfunctional CD8+ T Cells. The Journal of Immunology. 180(8). 5300–5308. 3 indexed citations
19.
Plesa, Gabriela, et al.. (2007). Addition of Deoxynucleosides Enhances Human Immunodeficiency Virus Type 1 Integration and 2LTR Formation in Resting CD4+T Cells. Journal of Virology. 81(24). 13938–13942. 44 indexed citations
20.
Plesa, Gabriela, Philip M. McKenna, Matthias J. Schnell, & Laurence C. Eisenlohr. (2006). Immunogenicity of Cytopathic and Noncytopathic Viral Vectors. Journal of Virology. 80(13). 6259–6266. 11 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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