Ryan C. O’Neil

2.0k citations
2 papers · 164 · h-index 2

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Plant Stress Responses and Tolerance
    • Light effects on plants
    • Plant Reproductive Biology
    • Plant tissue culture and regeneration
    • Photosynthetic Processes and Mechanisms
    • Plant Gene Expression Analysis

Papers in

    • Renal and related cancers 1
    • Plant Reproductive Biology 1
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Plant Molecular Biology Research 1
    • Plant-Microbe Interactions and Immunity 1

Ryan C. O’Neil

2 papers receiving 161 citations

Peers

Ryan C. O’Neil
Comparison fields: 5 of 22
  • Plant Science 147
  • Molecular Biology 129
  • Horticulture 1
  • Agronomy and Crop Science 7
  • Aging 1
Replace Yunxiang Zhao with:
Yunxiang Zhao China
Jesper T. Grønlund Denmark
Laura Grégoire France
Nicolas Daccord France
Alison Hinchliffe United Kingdom
Salem Chabout France
Yumin Tao United States
Aleena Francis India
Keke Xia China
Daria D. Novikova Russia
Ryan C. O’Neil relative to Yunxiang Zhao China Yunxiang Zhao's profile →
Citations per field
00.5×1.5×
Yunxiang Zhao · 1×
Citations per year

Countries citing papers authored by Ryan C. O’Neil

Since Specialization
Citations

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

Fields of papers citing papers by Ryan C. O’Neil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ryan C. O’Neil, 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 Ryan C. O’Neil Line = papers co-authored together Ryan C. O’Neil links everyone, so they are left out of the graph.

All Works

About Ryan C. O’Neil

Ryan C. O’Neil is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 164 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Renal and related cancers (1 paper), Plant Reproductive Biology (1 paper), Pluripotent Stem Cells Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Plant Science (147 citations), Molecular Biology (129 citations), Horticulture (1 citation), Agronomy and Crop Science (7 citations) and Aging (1 citation). Ryan C. O’Neil has collaborated with scholars based in United States. Frequent co-authors include Joseph R. Ecker, Ling Huang, Hongyu Chen, Mingtang Xie, Maxim N. Shokhirev, Zev Rosenwaks, Ning Wang, Dieter Egli, Daylon James and Jeannine Gerhardt. Their work appears in journals such as The Journal of Cell Biology and Nature Communications.

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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