Naomi Taylor

1.2k total citations
16 papers, 827 citations indexed

About

Naomi Taylor is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Naomi Taylor has authored 16 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Naomi Taylor's work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Naomi Taylor is often cited by papers focused on CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Naomi Taylor collaborates with scholars based in France, United States and India. Naomi Taylor's co-authors include Sandrina Kinet, Nicolas Manel, Marc Sitbon, Jean‐Luc Battini, Nicholas A. Cacalano, Thomas A. Waldmann, Taolin Yi, Thi‐Sau Migone, Manuela Romano and Leal Oburoglu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Naomi Taylor

14 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naomi Taylor France	8	508	273	197	182	151	16	827
Daniel Bertolette United States	12	465 0.9×	370 1.4×	305 1.5×	284 1.6×	142 0.9×	22	933
Takuro Yoshimura Japan	10	297 0.6×	409 1.5×	188 1.0×	189 1.0×	121 0.8×	42	1.0k
G L Princler United States	18	539 1.1×	373 1.4×	282 1.4×	257 1.4×	198 1.3×	45	1.1k
Ilaria Cavallari Italy	16	381 0.8×	269 1.0×	271 1.4×	263 1.4×	78 0.5×	36	763
Alfonso Lavorgna United States	14	355 0.7×	350 1.3×	82 0.4×	75 0.4×	111 0.7×	19	762
Yoshiki Uemura Japan	16	188 0.4×	185 0.7×	73 0.4×	69 0.4×	138 0.9×	47	676
Peter Rohwer Germany	16	409 0.8×	149 0.5×	89 0.5×	89 0.5×	86 0.6×	22	656
M Tsudo United States	10	1.1k 2.1×	221 0.8×	89 0.5×	82 0.5×	230 1.5×	12	1.3k
Wei Jia China	18	132 0.3×	459 1.7×	149 0.8×	100 0.5×	126 0.8×	58	893
Andrea De Lerma Barbaro Italy	19	572 1.1×	244 0.9×	57 0.3×	35 0.2×	249 1.6×	41	866

Countries citing papers authored by Naomi Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Naomi Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Taylor

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

All Works

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16 of 16 papers shown

Dreyzin, Alexandra, Lipei Shao, Yihua Cai, et al.. (2025). Immunophenotype of CAR T cells and apheresis products predicts response in CD22 CAR T cell trial for B cell acute lymphoblastic leukemia. Molecular Therapy. 33(7). 3360–3374. 3 indexed citations

Duncan, Brynn B., Sara Silbert, Bonnie Yates, et al.. (2024). Initial Experience with CD19/CD22 BiCistronic CAR T-Cells in Children and Young Adults with Recurrent or Refractory B-Cell Malignancies. Blood. 144(Supplement 1). 680–680.

Dreyzin, Alexandra, Kyu Lee Han, Yihua Cai, et al.. (2024). Apheresis Product Characteristics Predict Response to CD22 CAR T-Cell Therapy in Pediatric and Young Adult Patients with B-ALL. Transplantation and Cellular Therapy. 30(2). S199–S199.

Song, Hannah, Alka Dwivedi, Sarah Underwood, et al.. (2023). Manufacture of CD22 CAR T cells following positive versus negative selection results in distinct cytokine secretion profiles and γδ T cell output. Molecular Therapy — Methods & Clinical Development. 32(1). 101171–101171. 7 indexed citations

Kondo, Taisuke, Sooraj Achar, Serifat Adebola, et al.. (2023). Harnessing arginine metabolism overcomes hyperthermia-induced metabolic dysfunction of CAR T-cells. The Journal of Immunology. 210(Supplement_1). 66.05–66.05. 1 indexed citations

Guérin, Amandine, Claire Angebault, Sandrina Kinet, et al.. (2022). LIX1-mediated changes in mitochondrial metabolism control the fate of digestive mesenchyme-derived cells. Redox Biology. 56. 102431–102431. 7 indexed citations

Jia, Dongya, Xiang Chen, Sooraj Achar, et al.. (2022). 401 Hinge length: A novel method of predicting cytotoxicity of CAR constructs against antigen-low leukemia. Regular and Young Investigator Award Abstracts. A423–A423. 2 indexed citations

Taylor, Naomi, et al.. (2022). 289 Clinical expansion and persistence of CAR T-cells: An essential biomarker in need of standardization. Regular and Young Investigator Award Abstracts. A304–A304. 1 indexed citations

Oburoglu, Leal, Manuela Romano, Naomi Taylor, & Sandrina Kinet. (2016). Metabolic regulation of hematopoietic stem cell commitment and erythroid differentiation. Current Opinion in Hematology. 23(3). 198–205. 65 indexed citations

10.

Martin, Emmanuel, Sylvia Sanquer, Christelle Lenoir, et al.. (2014). CTP synthase 1 deficiency in humans reveals its central role in lymphocyte proliferation. Nature. 510(7504). 288–292. 146 indexed citations

11.

Mondino, Anna, Valérie Dardalhon, Rodrigo Hess Michelini, Séverine Loisel‐Meyer, & Naomi Taylor. (2010). Redirecting the Immune Response: Role of Adoptive T Cell Therapy. Human Gene Therapy. 21(5). 533–541. 7 indexed citations

12.

Swainson, Louise, Sandrina Kinet, Nicolas Manel, et al.. (2005). Glucose transporter 1 expression identifies a population of cycling CD4⁺CD8⁺human thymocytes with high CXCR4-induced chemotaxis. Proceedings of the National Academy of Sciences. 102(36). 12867–12872. 73 indexed citations

13.

Manel, Nicolas, et al.. (2003). The Ubiquitous Glucose Transporter GLUT-1 Is a Receptor for HTLV. Cell. 115(4). 449–459. 335 indexed citations

14.

Bernard, Frédéric, Valérie Dardalhon, Hans Yssel, et al.. (2002). Ex vivo isolation protocols differentially affect the phenotype of human CD4+ T cells. Journal of Immunological Methods. 271(1-2). 99–106. 16 indexed citations

15.

Schwarz, Klaus, Valérie Dardalhon, Cosette Rebouissou, et al.. (2000). Alternative Antigen Receptor (TCR) Signaling in T Cells Derived from ZAP-70-deficient Patients Expressing High Levels of Syk. Journal of Biological Chemistry. 275(21). 15832–15838. 50 indexed citations

16.

Migone, Thi‐Sau, et al.. (1998). Recruitment of SH2-containing protein tyrosine phosphatase SHP-1 to the interleukin 2 receptor; loss of SHP-1 expression in human T-lymphotropic virus type I-transformed T cells. Proceedings of the National Academy of Sciences. 95(7). 3845–3850. 114 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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