Jason O’Neill

2.5k citations
29 papers · 1.9k indexed · h-index 21

Impact in

    • Developmental Biology and Gene Regulation
    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Protein Structure and Dynamics
    • Glycosylation and Glycoproteins Research
    • Enzyme function and inhibition

Papers in

Jason O’Neill

29 papers receiving 1.9k citations

Peers

Jason O’Neill
Comparison fields: 5 of 109
  • Molecular Biology 1.6k
  • Biotechnology 127
  • Immunology 248
  • Cell Biology 181
  • Cancer Research 159
Replace Toshio Furuya with:
Toshio Furuya Japan
Bruno Tocqué France
Hiroaki Terasawa Japan
Paul Taylor Canada
Erwin Schreiner Austria
S.L. Schreiber United States
Peter K. LeMotte Switzerland
Lynn Young United States
Herbert Treutlein Australia
Jianhua Zheng China
Jason O’Neill relative to Toshio Furuya Japan Toshio Furuya's profile →
Citations per field
00.5×1.5×
Toshio Furuya · 1×
Citations per year

Countries citing papers authored by Jason O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Jason O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason O’Neill. 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 Jason O’Neill. The network helps show where Jason O’Neill may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201868
2 201647
3 20164
4 201590
5 2014137
6 201016
7 200922
8 200580
9 200472
10 2004122
11 200465
12 200313
13 200246
14 2001122
15 200163
16 200147
17 200155
18 20003
19 199647
20
Double-label in situ hybridization using biotin and digoxigenin-tagged RNA probes.
1994148

About Jason O’Neill

Jason O’Neill is a scholar working on Discrete Mathematics and Combinatorics, Biotechnology, Molecular Biology, Cancer Research and Immunology, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Structure and Function (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers), Protein Structure and Dynamics (2 papers), Neurobiology and Insect Physiology Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Biotechnology (127 citations), Immunology (248 citations), Cell Biology (181 citations) and Cancer Research (159 citations). Jason O’Neill has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ethan Bier, Kam Y. J. Zhang, David M. Hockenbery, Michael K. Manion, V. François, Mark J. Solloway, Arnd Sturm, Maarten J. Chrispeels, Antje von Schaewen and David E. Kim. Their work appears in journals such as Protein Science, Journal of Biological Chemistry, Molecular Pharmaceutics, PLANT PHYSIOLOGY and Current Medicinal Chemistry.

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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