Gary de Jong

1.1k citations
20 papers · 911 indexed · h-index 13

Impact in

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

Papers in

Gary de Jong

20 papers receiving 883 citations

Peers

Gary de Jong
Comparison fields: 5 of 84
  • Aging 33
  • Physiology 77
  • Physiology 256
  • Immunology 181
  • Molecular Biology 405
Replace Mouloud Souidi with:
Mouloud Souidi France
Waldemar J. Racki United States
Georg F. Vogel Austria
Karen J. Bame United States
Kate Liddiard United Kingdom
Colin Casimir United Kingdom
Diego E. Montoya–Durango United States
Wenxia Jiang United States
María Paz Zafra Spain
Ken-ichi Arai Japan
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Citations per field
00.5×6.2×
Mouloud Souidi · 1×
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-authorship network

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
#Work
1 2006332
2 200512
3 200426
4 200112
5 200152
6 200118
7 199855
8 199830
9 1998137
10 199712
11
Alterations in pim-1 and c-myc expression associated with sodium butyrate-induced growth factor dependency in autonomous rat Nb2 lymphoma cells.
199621
12 199527
13
Modulation of doxorubicin resistance in P388/ADR cells by Ro44-5912, a tiapamil derivative.
19954
14
The rat Nb2 lymphoma: a novel model for tumor progression.
199518
15 19951
16 199054
17 198913
18 19871
19 198683
20 19823

About Gary de Jong

Gary de Jong is a scholar working on Structural Biology, Oncology, Physiology, Virology and Cancer Research, having authored 20 papers that have together received 911 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Peptidase Inhibition and Analysis (4 papers), Virus-based gene therapy research (3 papers), Cancer Mechanisms and Therapy (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Signaling Pathways in Disease (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Aging (33 citations), Physiology (77 citations), Physiology (256 citations), Immunology (181 citations) and Molecular Biology (405 citations). Gary de Jong has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Gabriela M. Baerlocher, Irma Vulto, Peter M. Lansdorp, Neil E. Reiner, Wilfred A. Jefferies, Zakaria Hmama, Reinhard Gabathuler, Igor I. Solar, Tillmann J. Benfey and Edward M. Donaldson. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Cancer, The Prostate, Cytometry 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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