Natalia Lapteva

2.8k total citations
45 papers, 1.7k citations indexed

About

Natalia Lapteva is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Natalia Lapteva has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 31 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Natalia Lapteva's work include CAR-T cell therapy research (24 papers), Immune Cell Function and Interaction (23 papers) and Immunotherapy and Immune Responses (15 papers). Natalia Lapteva is often cited by papers focused on CAR-T cell therapy research (24 papers), Immune Cell Function and Interaction (23 papers) and Immunotherapy and Immune Responses (15 papers). Natalia Lapteva collaborates with scholars based in United States, Japan and Russia. Natalia Lapteva's co-authors include Cliona M. Rooney, David M. Spencer, Xue F. Huang, Mamatha Seethammagari, Kevin M. Slawin, Bilal Omer, Stephen Gottschalk, Lisa Rollins, Robin Parihar and Leonid S. Metelitsa and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Natalia Lapteva

44 papers receiving 1.7k citations

Peers

Natalia Lapteva
Robin Parihar United States
Keith Kerstann United States
Cristina Puig-Saus United States
Håkan Norell Sweden
Barry Flutter United Kingdom
Lien T. Ngo United States
José A. Guevara-Patiño United States
Wei‐Zen Wei United States
Inja Waldhauer Switzerland
Yang Feng United States
Robin Parihar United States
Natalia Lapteva
Citations per year, relative to Natalia Lapteva Natalia Lapteva (= 1×) peers Robin Parihar

Countries citing papers authored by Natalia Lapteva

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Lapteva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Lapteva

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Lapteva. A scholar is included among the top collaborators of Natalia Lapteva 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 Natalia Lapteva. Natalia Lapteva 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.
Ramos, Carlos A., David H. Quach, Premal Lulla, et al.. (2023). OFF‐THE‐SHELF CD30.CAR‐MODIFIED EPSTEIN‐BARR VIRUS‐SPECIFIC T CELLS (CD30.CAR EBVSTS) PROVIDE A SAFE AND EFFECTIVE THERAPY FOR PATIENTS WITH HODGKIN LYMPHOMA (HL). Hematological Oncology. 41(S2). 83–85. 8 indexed citations
2.
Hill, LaQuisa, Rayne H. Rouce, Meng-Fen Wu, et al.. (2023). Antitumor efficacy and safety of unedited autologous CD5.CAR T cells in relapsed/refractory mature T-cell lymphomas. Blood. 143(13). 1231–1241. 30 indexed citations
3.
Gee, Adrian P., Cheryl A. Cox, Joshua M. Hare, et al.. (2022). Assessment of the LOVO device for final harvest of novel cell therapies: a Production Assistance for Cellular Therapies multi-center study. Cytotherapy. 24(7). 691–698. 6 indexed citations
4.
Vasileiou, Spyridoula, LaQuisa Hill, Manik Kuvalekar, et al.. (2022). Allogeneic, off-the-shelf, SARS-CoV-2-specific T cells (ALVR109) for the treatment of COVID-19 in high-risk patients. Haematologica. 108(7). 1840–1850. 16 indexed citations
5.
Parihar, Robin, Charlotte Helena Rivas, Bilal Omer, et al.. (2019). NK Cells Expressing a Chimeric Activating Receptor Eliminate MDSCs and Rescue Impaired CAR-T Cell Activity against Solid Tumors. Cancer Immunology Research. 7(3). 363–375. 219 indexed citations
6.
Omer, Bilal, Paul Castillo, Haruko Tashiro, et al.. (2018). Chimeric Antigen Receptor Signaling Domains Differentially Regulate Proliferation and Native T Cell Receptor Function in Virus-Specific T Cells. Frontiers in Medicine. 5. 343–343. 15 indexed citations
7.
Lapteva, Natalia, Robin Parihar, Lisa Rollins, Adrian P. Gee, & Cliona M. Rooney. (2016). Large-Scale Culture and Genetic Modification of Human Natural Killer Cells for Cellular Therapy. Methods in molecular biology. 1441. 195–202. 17 indexed citations
8.
9.
Ngo, Minhtran, Jun Ando, Ann M. Leen, et al.. (2014). Complementation of Antigen-presenting Cells to Generate T Lymphocytes With Broad Target Specificity. Journal of Immunotherapy. 37(4). 193–203. 40 indexed citations
10.
Miller, Jeffrey S., Cliona M. Rooney, Julie Curtsinger, et al.. (2014). Expansion and Homing of Adoptively Transferred Human Natural Killer Cells in Immunodeficient Mice Varies with Product Preparation and In Vivo Cytokine Administration: Implications for Clinical Therapy. Biology of Blood and Marrow Transplantation. 20(8). 1252–1257. 64 indexed citations
11.
Lapteva, Natalia, April Durett, Jiali Sun, et al.. (2012). Large-scale ex vivo expansion and characterization of natural killer cells for clinical applications. Cytotherapy. 14(9). 1131–1143. 171 indexed citations
12.
Lapteva, Natalia, et al.. (2011). A composite MyD88/CD40 switch synergistically activates mouse and human dendritic cells for enhanced antitumor efficacy. Journal of Clinical Investigation. 121(4). 1524–1534. 48 indexed citations
13.
Lapteva, Natalia. (2010). Enhanced Migration of Human Dendritic Cells Expressing Inducible CD40. Methods in molecular biology. 651. 79–87. 3 indexed citations
14.
Lapteva, Natalia, Melissa B. Aldrich, David C. Weksberg, et al.. (2009). Targeting the Intratumoral Dendritic Cells by the Oncolytic Adenoviral Vaccine Expressing RANTES Elicits Potent Antitumor Immunity. Journal of Immunotherapy. 32(2). 145–156. 70 indexed citations
15.
Lapteva, Natalia, Mamatha Seethammagari, Brent A. Hanks, et al.. (2007). Enhanced Activation of Human Dendritic Cells by Inducible CD40 and Toll-like Receptor-4 Ligation. Cancer Research. 67(21). 10528–10537. 50 indexed citations
16.
Park, Dongsu, Natalia Lapteva, Mamatha Seethammagari, Kevin M. Slawin, & David M. Spencer. (2006). An essential role for Akt1 in dendritic cell function and tumor immunotherapy. Nature Biotechnology. 24(12). 1581–1590. 96 indexed citations
17.
Lapteva, Natalia, Kazuki Ide, Mie Nieda, et al.. (2002). Activation and suppression of renin–angiotensin system in human dendritic cells. Biochemical and Biophysical Research Communications. 296(1). 194–200. 60 indexed citations
18.
Lapteva, Natalia, Mie Nieda, Yukio Ando, et al.. (2001). Gene Expression Analysis in Human Monocytes, Monocyte-Derived Dendritic Cells, and α-Galactosylceramide-Pulsed Monocyte- Derived Dendritic Cells. Biochemical and Biophysical Research Communications. 289(2). 531–538. 8 indexed citations
19.
Lapteva, Natalia, Mie Nieda, Yukio Ando, et al.. (2001). Expression of Renin-Angiotensin System Genes in Immature and Mature Dendritic Cells Identified Using Human cDNA Microarray. Biochemical and Biophysical Research Communications. 285(4). 1059–1065. 28 indexed citations
20.
Lapteva, Natalia, Yukio Ando, Mie Nieda, et al.. (2001). Profiling of genes expressed in human monocytes and monocyte‐derived dendritic cells using cDNA expression array. British Journal of Haematology. 114(1). 191–197. 25 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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