Yan Nikhamin

1.0k citations
6 papers · 811 · h-index 5

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • bioluminescence and chemiluminescence research 1
    • CRISPR and Genetic Engineering 1

Yan Nikhamin

5 papers receiving 792 citations

Peers

Yan Nikhamin
Comparison fields: 5 of 42
  • Oncology 695
  • Immunology 278
  • Genetics 225
  • Biomedical Engineering 233
  • Molecular Biology 235
Replace Alba Rodríguez-García with:
Alba Rodríguez-García United States
Anusha Rajan United States
Alexander J. Davenport Australia
Sang M. Nguyen United States
Elisa Landoni United States
Malgorzata Olszewska United States
Marine Cazaux France
Clay Lyddane United States
Yinmeng Yang United States
James D. Hocker United States
Yan Nikhamin relative to Alba Rodríguez-García United States Alba Rodríguez-García's profile →
Citations per field
00.5×5.8×
Alba Rodríguez-García · 1×
Citations per year

Countries citing papers authored by Yan Nikhamin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Nikhamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Yan Nikhamin, 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 Yan Nikhamin Line = papers co-authored together Yan Nikhamin links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2007360
2 2015190
3 2010137
4 200998
5 200726
6 20120

About Yan Nikhamin

Yan Nikhamin is a scholar working on Oncology, Molecular Biology, Genetics, Immunology and Biomedical Engineering, having authored 6 papers that have together received 811 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Immunotherapy and Immune Responses (1 paper), 3D Printing in Biomedical Research (1 paper), bioluminescence and chemiluminescence research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (695 citations), Immunology (278 citations), Genetics (225 citations), Biomedical Engineering (233 citations) and Molecular Biology (235 citations). Yan Nikhamin has collaborated with scholars based in United States, Canada and Slovakia. Frequent co-authors include Renier J. Brentjens, Raymond Yeh, Michel Sadelain, Steven M. Larson, Krista La Perle, Alfonso Quintás‐Cardama, Maiko Matsushita, Elmer Santos, Terence J. Purdon and Kevin J. Curran. Their work appears in journals such as Clinical Cancer Research, Nature Medicine, Blood, Molecular Therapy and Human Gene Therapy.

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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