Katelyn O’Neill

1.2k citations
15 papers · 813 · h-index 11

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Mitochondrial Function and Pathology
    • Ubiquitin and proteasome pathways

Papers in

    • Cell death mechanisms and regulation 10
    • Ubiquitin and proteasome pathways 4
    • RNA Interference and Gene Delivery 3
    • ATP Synthase and ATPases Research 2
    • Mitochondrial Function and Pathology 2
    • Autophagy in Disease and Therapy 4

Katelyn O’Neill

14 papers receiving 808 citations

Peers

Katelyn O’Neill
Comparison fields: 5 of 83
  • Molecular Biology 560
  • Immunology 162
  • Cancer Research 109
  • Hematology 61
  • Oncology 137
Replace Qiao‐Yang Sun with:
Qiao‐Yang Sun Singapore
Wei‐Chun HuangFu Taiwan
Joachim Saas Germany
Qing Sang China
Ann‐Muriel Steff Canada
Weijuan Pan China
Honghui Han China
Yun Liang China
Kris Nys Belgium
Sarah C. Mutka United States
Katelyn O’Neill relative to Qiao‐Yang Sun Singapore Qiao‐Yang Sun's profile →
Citations per field
00.5×1.5×2.5×
Qiao‐Yang Sun · 1×
Citations per year

Countries citing papers authored by Katelyn O’Neill

Since Specialization
Citations

This map shows the geographic impact of Katelyn 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 Katelyn 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 Katelyn O’Neill more than expected).

Fields of papers citing papers by Katelyn O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016248
2 2016109
3 201994
4 202069
5 200956
6 201656
7 201552
8 201437
9 202131
10 202030
11 201920
12 20235
13 20125
14 20141
15 20250

About Katelyn O’Neill

Katelyn O’Neill is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Oncology and Infectious Diseases, having authored 15 papers that have together received 813 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer-related Molecular Pathways (3 papers), RNA Interference and Gene Delivery (3 papers), ATP Synthase and ATPases Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (560 citations), Immunology (162 citations), Cancer Research (109 citations), Hematology (61 citations) and Oncology (137 citations). Katelyn O’Neill has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kai Huang, Xu Luo, Yi Chen, Jingjing Zhang, Xu Luo, Rolen M. Quadros, Yaping Tu, Jingjing Zhang, Channabasavaiah B. Gurumurthy and Xiaming Pang. Their work appears in journals such as Journal of Biological Chemistry, Cell Death and Disease, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell and Genes & Development.

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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