David Gordon

6.9k citations
15 papers · 2.1k indexed · 1 hit paper · h-index 12

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
    • Genetic diversity and population structure
    • RNA Interference and Gene Delivery
    • Genomics and Phylogenetic Studies
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering

Papers in

    • Virus-based gene therapy research 3
    • Genetic diversity and population structure 2

David Gordon

14 papers receiving 2.1k citations

Hit Papers

Direct gene transfer with DNA-liposome complexes in melanoma: expression, biologic activity, and lack of toxicity in humans. 1993 · 692 citations
6921993202620042015200400600

Peers

David Gordon
Comparison fields: 5 of 125
  • Genetics 1.1k
  • Molecular Biology 1.5k
  • Immunology 290
  • Biotechnology 83
  • Cancer Research 124
Replace Gek Kee Sim with:
Gek Kee Sim United States
Alan G. Wildeman Canada
C Benoist France
Kunihiko Naito Japan
J K Yee United States
Rakesh Anand United Kingdom
Julian Banerji United States
Thomas J. Cradick United States
M P Calos United States
Joshua A. Weinstein United States
David Gordon relative to Gek Kee Sim United States Gek Kee Sim's profile →
Citations per field
00.5×50×109×
Gek Kee Sim · 1×
Citations per year

Countries citing papers authored by David Gordon

Since Specialization
Citations

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

Fields of papers citing papers by David Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Direct gene transfer with DNA-liposome complexes in melanoma: expression, biologic activity, and lack of toxicity in humans.
Hit paper breakdown →
1993692
2 2009286
3 2016235
4 2016218
5 1993197
6 2003187
7 1993135
8 201860
9 199459
10 202037
11 202327
12 198311
13 19953
14 19773
15 20230

About David Gordon

David Gordon is a scholar working on Genetics, Physiology, Immunology and Allergy, Molecular Biology and Immunology, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (4 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), Genetic diversity and population structure (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (1.5k citations), Immunology (290 citations), Biotechnology (83 citations) and Cancer Research (124 citations). David Gordon has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include E G Nabel, Gary J. Nabel, Xiang Gao, Zhiyong Yang, Gregory E. Plautz, Leaf Huang, Colleen Davis, Phil Green, Graham McVicker and Bernard A. Fox. Their work appears in journals such as Genome Research, Human Gene Therapy, Cell Genomics, Nature Genetics and The Journal of Immunology.

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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