David Onion

1.2k citations
43 papers · 847 · h-index 14

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering

Papers in

    • Extracellular vesicles in disease 8
    • Cancer Cells and Metastasis 5
    • CAR-T cell therapy research 3

David Onion

38 papers receiving 835 citations

Peers

David Onion
Comparison fields: 5 of 87
  • Genetics 333
  • Molecular Biology 474
  • Oncology 182
  • Biotechnology 54
  • Immunology 113
Replace Michelle Debatis with:
Michelle Debatis United States
Josée Coulombe Canada
Charles‐Antoine Assenmacher United States
Rénald Gilbert Canada
Renée Lengagne France
Jeremy B. Foote United States
Abel Acosta‐Sanchez Belgium
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Frances Weis‐Garcia United States
Wen-Qi Cai China
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Citations per field
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Citations per year

Countries citing papers authored by David Onion

Since Specialization
Citations

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

Fields of papers citing papers by David Onion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005230
2 2006125
3 202049
4 201844
5 201744
6 201240
7 200231
8 200729
9 201626
10 202223
11 202320
12 202020
13 201719
14 200918
15 202013
16 201311
17 200710
18 202210
19 201410
20 20199

About David Onion

David Onion is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Genetics, having authored 43 papers that have together received 847 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Extracellular vesicles in disease (8 papers), Immunotherapy and Immune Responses (6 papers), Cancer Cells and Metastasis (5 papers), Glioma Diagnosis and Treatment (5 papers), T-cell and B-cell Immunology (3 papers), Viral Infections and Vectors (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (333 citations), Molecular Biology (474 citations), Oncology (182 citations), Biotechnology (54 citations) and Immunology (113 citations). David Onion has collaborated with scholars based in United Kingdom, United States and Romania. Frequent co-authors include Vivien Mautner, Peter F. Searle, Lawrence S. Young, Mark Lyons, Sarah Hale, Leonard W. Seymour, S. L. Phipps, Ratna Rajaratnam, Miriam Bazán‐Peregrino and Kerry D. Fisher. Their work appears in journals such as Neuro-Oncology, Frontiers in Immunology, Oncotarget, Cancer Research and RSC Advances.

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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