Katelyn O’Neill
Impact in
-
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Mitochondrial Function and Pathology
- Ubiquitin and proteasome pathways
-
- Phagocytosis and Immune Regulation
Papers in
-
- Cell death mechanisms and regulation 10
- Ubiquitin and proteasome pathways 4
- RNA Interference and Gene Delivery 3
- Mitochondrial Function and Pathology 2
- ATP Synthase and ATPases Research 2
-
- Autophagy in Disease and Therapy 4
- Co-authors
- Kai Huang (4 shared papers)Xu Luo (5 shared papers)Jingjing Zhang (1 shared paper)Yi Chen (1 shared paper)Channabasavaiah B. Gurumurthy (1 shared paper)Yaping Tu (1 shared paper)Rolen M. Quadros (1 shared paper)Xiaming Pang (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Death and Disease (2 papers)Cell Research (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Katelyn O’Neill
15 papers receiving 834 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 544
- Immunology 151
- Cancer Research 98
- Hematology 57
- Oncology 130
Countries citing papers authored by Katelyn O’Neill
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 253 | |
| 2 | 2016 | 113 | |
| 3 | 2019 | 98 | |
| 4 | 2020 | 70 | |
| 5 | 2016 | 57 | |
| 6 | 2009 | 56 | |
| 7 | 2015 | 52 | |
| 8 | 2014 | 38 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 33 | |
| 11 | 2019 | 21 | |
| 12 | 2023 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2025 | 1 | |
| 15 | 2014 | 1 |
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 839 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), RNA Interference and Gene Delivery (3 papers), Cancer-related Molecular Pathways (3 papers), Microtubule and mitosis dynamics (2 papers), Mitochondrial Function and Pathology (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Molecular Biology (544 citations), Immunology (151 citations), Cancer Research (98 citations), Hematology (57 citations) and Oncology (130 citations). Katelyn O’Neill has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kai Huang, Xu Luo, Jingjing Zhang, Yi Chen, Xu Luo, Channabasavaiah B. Gurumurthy, Yaping Tu, Rolen M. Quadros, Jingjing Zhang and Xiaming Pang. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cell Death and Disease, Cell Research and Molecular Biology of the Cell.
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.