J.K. Everett

6.0k citations
84 papers · 4.4k · 6 hit papers · h-index 29

Impact in

Papers in

    • Protein Structure and Dynamics 15
    • RNA and protein synthesis mechanisms 14
    • CRISPR and Genetic Engineering 10
    • Genomics and Phylogenetic Studies 6
    • CAR-T cell therapy research 21

J.K. Everett

80 papers receiving 4.4k citations

J.K. Everett's Hit Papers

CD4+ T-Cell Lymphoma Harboring a Chimeric Antigen Receptor Integration in TP53 2025 · 57 citations
570+2+5Years since publication200400600

Peers

J.K. Everett
Comparison fields: 5 of 124
  • Oncology 1.6k
  • Virology 184
  • Immunology 786
  • Genetics 1.1k
  • Molecular Biology 2.4k
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Citations per field
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Citations per year

Countries citing papers authored by J.K. Everett

Since Specialization
Citations

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

Fields of papers citing papers by J.K. Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.K. Everett. 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 J.K. Everett. The network helps show where J.K. Everett may publish in the future.

Co-authors

The 25 scholars most cited alongside J.K. Everett, 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 J.K. Everett Line = papers co-authored together J.K. Everett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Disruption of TET2 promotes the therapeutic efficacy of CD19-targeted T cells
Hit paper breakdown →
2018736
2
PSMA-targeting TGFβ-insensitive armored CAR T cells in metastatic castration-resistant prostate cancer: a phase 1 trial
Hit paper breakdown →
2022431
3
A long-term study of AAV gene therapy in dogs with hemophilia A identifies clonal expansions of transduced liver cells
Hit paper breakdown →
2020349
4 2016315
5 2020185
6
Autologous T cell therapy for MAGE-A4+ solid cancers in HLA-A*02+ patients: a phase 1 trial
Hit paper breakdown →
2023144
7 2020125
8 2008117
9 2005116
10 2019114
11 2010111
12 2009107
13 2014105
14 2016103
15 201184
16 202284
17 202182
18 201672
19 201665
20 200960

About J.K. Everett

J.K. Everett is a scholar working on Molecular Biology, Oncology, Genetics, Infectious Diseases and Immunology, having authored 84 papers that have together received 4.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (21 papers), Enzyme Structure and Function (20 papers), Virus-based gene therapy research (19 papers), Protein Structure and Dynamics (15 papers), RNA and protein synthesis mechanisms (14 papers), CRISPR and Genetic Engineering (10 papers), Genomics and Phylogenetic Studies (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Oncology (1.6k citations), Virology (184 citations), Immunology (786 citations), Genetics (1.1k citations) and Molecular Biology (2.4k citations). J.K. Everett has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Frederic D. Bushman, Gaetano Thomas Montelione, Thomas Acton, Rong Xiao, Hayley E. Raymond, Denise E. Sabatino, Aoife M. Roche, Timothy C. Nichols, Christopher L. Nobles and Christian Michael Wood. Their work appears in journals such as Journal of Structural and Functional Genomics, Blood, Nature Medicine, Proteins Structure Function and Bioinformatics and Molecular Therapy — Methods & Clinical Development.

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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