Gary de Jong

1.2k citations
21 papers · 966 · h-index 14

Impact in

  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence
    • Reproductive biology and impacts on aquatic species
  • Aging top 10%

Papers in

    • RNA Interference and Gene Delivery 4
    • Advanced biosensing and bioanalysis techniques 4
    • Peptidase Inhibition and Analysis 4

Gary de Jong

21 papers receiving 925 citations

Peers

Gary de Jong
Comparison fields: 5 of 84
  • Physiology 78
  • Aging 26
  • Physiology 267
  • Immunology 171
  • Molecular Biology 386
Replace Julie Metcalf with:
Julie Metcalf Canada
Waldemar J. Racki United States
Georg F. Vogel Austria
Mouloud Souidi France
Jerry Ting United States
A.-P.J. Huovila Finland
Wenxia Jiang United States
Makoto Yoshimitsu Japan
Kate Liddiard United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Gary de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Gary de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary de Jong. 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 Gary de Jong. The network helps show where Gary de Jong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006351
2 1998142
3 198688
4 199062
5 199861
6 200158
7 199830
8 199528
9 200426
10
Alterations in pim-1 and c-myc expression associated with sodium butyrate-induced growth factor dependency in autonomous rat Nb2 lymphoma cells.
199622
11 200118
12
The rat Nb2 lymphoma: a novel model for tumor progression.
199518
13 200513
14 198913
15 200113
16 199713
17
Modulation of doxorubicin resistance in P388/ADR cells by Ro44-5912, a tiapamil derivative.
19954
18 19823
19 19951
20 19871

About Gary de Jong

Gary de Jong is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 21 papers that have together received 966 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Peptidase Inhibition and Analysis (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer Mechanisms and Therapy (3 papers), Cancer Genomics and Diagnostics (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Physiology (78 citations), Aging (26 citations), Physiology (267 citations), Immunology (171 citations) and Molecular Biology (386 citations). Gary de Jong has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Irma Vulto, Peter M. Lansdorp, Gabriela M. Baerlocher, Neil E. Reiner, Wilfred A. Jefferies, Reinhard Gabathuler, Zakaria Hmama, Tillmann J. Benfey, Igor I. Solar and Edward M. Donaldson. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Nature Protocols, The Journal of Gene Medicine, The Journal of Immunology and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

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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