Natalia Lapteva

2.8k citations
45 papers · 1.7k indexed · h-index 21
  • Immunology top 2%
    • Immune Cell Function and Interaction 23
    • Immunotherapy and Immune Responses 15
    • T-cell and B-cell Immunology 13
  • Oncology top 2%
    • CAR-T cell therapy research 24
    • Viral-associated cancers and disorders 3
  • Genetics top 10%
    • Virus-based gene therapy research 6
  • Hematology top 10%
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Lymphoma Diagnosis and Treatment 4

Natalia Lapteva

44 papers receiving 1.7k citations

Peers

Natalia Lapteva
Comparison fields: 5 of 80
  • Immunology 1.1k
  • Oncology 1.1k
  • Genetics 288
  • Hematology 113
  • Molecular Biology 517
Replace Robin Parihar with:
Robin Parihar United States
Keith Kerstann United States
Sivasubramanian Baskar United States
Barry Flutter United Kingdom
Håkan Norell Sweden
José A. Guevara-Patiño United States
Cristina Puig-Saus United States
Inja Waldhauer Switzerland
Dori A. Thomas United States
Tong‐Yuan Yang United States
Natalia Lapteva relative to Robin Parihar United States Robin Parihar's profile →
Citations per field
00.5×1.7×
Robin Parihar · 1×
Citations per year

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

The 25 scholars most cited alongside Natalia Lapteva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Natalia Lapteva Line = papers co-authored together Natalia Lapteva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 202330
3 20226
4 202216
5 2019219
6 201815
7 201617
8 201523
9 201440
10 201464
11 2012171
12 201148
13 20103
14 200970
15 200750
16 200696
17 200260
18 20018
19 200128
20 200125

About Natalia Lapteva

Natalia Lapteva is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (24 papers), Immune Cell Function and Interaction (23 papers), Immunotherapy and Immune Responses (15 papers), T-cell and B-cell Immunology (13 papers), Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.1k citations) and Genetics (288 citations). Natalia Lapteva has collaborated with scholars based in United States, Japan and Russia. Frequent 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. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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