John T. Gray

7.7k citations
55 papers · 3.0k · h-index 29

Impact in

  • Genetics top 1%
    • Virus-based gene therapy research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • Advanced biosensing and bioanalysis techniques
    • RNA and protein synthesis mechanisms

Papers in

    • CRISPR and Genetic Engineering 17
    • RNA Interference and Gene Delivery 15
    • Viral Infectious Diseases and Gene Expression in Insects 12
    • Virus-based gene therapy research 37

John T. Gray

55 papers receiving 2.9k citations

Peers

John T. Gray
Comparison fields: 5 of 89
  • Genetics 1.7k
  • Molecular Biology 2.1k
  • Oncology 637
  • Genetics 170
  • Hematology 171
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Citations per year

Countries citing papers authored by John T. Gray

Since Specialization
Citations

This map shows the geographic impact of John T. Gray'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 John T. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Gray more than expected).

Fields of papers citing papers by John T. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Gray. 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 John T. Gray. The network helps show where John T. Gray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005345
2 2004224
3 2006219
4 2005186
5 2004139
6 1991132
7 2011126
8 2009117
9 2004111
10 2005111
11 201095
12 200893
13 200887
14 200885
15 201277
16 200765
17 200865
18 199363
19 200548
20 201146

About John T. Gray

John T. Gray is a scholar working on Molecular Biology, Genetics, Oncology, Infectious Diseases and Hematology, having authored 55 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (37 papers), CRISPR and Genetic Engineering (17 papers), RNA Interference and Gene Delivery (15 papers), CAR-T cell therapy research (14 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Viral gastroenteritis research and epidemiology (5 papers), Hemophilia Treatment and Research (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Genetics (1.7k citations), Molecular Biology (2.1k citations), Oncology (637 citations), Genetics (170 citations) and Hematology (171 citations). John T. Gray has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Andrew M. Davidoff, Amit C. Nathwani, Catherine Y. Ng, Junfang Zhou, Yunyu Spence, Jenny McIntosh, Derek A. Persons, Arthur W. Nienhuis, Richard C. Mulligan and Edward G. D. Tuddenham. Their work appears in journals such as Blood, Molecular Therapy, Human Gene Therapy Methods, Molecular Therapy — Methods & Clinical Development and PLoS ONE.

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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