Eric E. O’Neill
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Molecular Biology top 5%
- Melanoma and MAPK Pathways
- Epigenetics and DNA Methylation
- Protein Kinase Regulation and GTPase Signaling
- Wnt/β-catenin signaling in development and cancer
- Ubiquitin and proteasome pathways
Papers in
- Cell Biology 26
- Hippo pathway signaling and YAP/TAZ 22
- Microtubule and mitosis dynamics 5
- Oncology 25
- Cancer-related Molecular Pathways 9
- Pancreatic and Hepatic Oncology Research 9
- Co-authors
- Walter Kölch (12 shared papers)Linda K. Rushworth (2 shared papers)Manuela Baccarini (2 shared papers)Alison D. Hindley (1 shared paper)Karen S.Y. Yee (5 shared papers)Anna M. Grawenda (6 shared papers)David Gomez Matallanas (5 shared papers)Garth Hamilton (7 shared papers)
- Journals
- Cancer Research (5 papers)Oncotarget (5 papers)The EMBO Journal (4 papers)Current Biology (3 papers)Science Advances (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Eric E. O’Neill
65 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Cell Biology 1.3k
- Molecular Biology 2.4k
- Oncology 831
- Cancer Research 421
- Neurology 406
Countries citing papers authored by Eric E. O’Neill
This map shows the geographic impact of Eric E. 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 Eric E. 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 Eric E. O’Neill more than expected).
Fields of papers citing papers by Eric E. O’Neill
This network shows the impact of papers produced by Eric E. 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 Eric E. O’Neill. The network helps show where Eric E. O’Neill may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric E. 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
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 412 | |
| 2 | 2007 | 342 | |
| 3 | 2006 | 340 | |
| 4 | 2004 | 262 | |
| 5 | 2018 | 161 | |
| 6 | 2002 | 149 | |
| 7 | 2004 | 138 | |
| 8 | 2011 | 118 | |
| 9 | 2019 | 110 | |
| 10 | 2015 | 110 | |
| 11 | 2015 | 107 | |
| 12 | 2015 | 101 | |
| 13 | 2009 | 95 | |
| 14 | 2018 | 78 | |
| 15 | 2014 | 77 | |
| 16 | 2019 | 71 | |
| 17 | 2021 | 69 | |
| 18 | 2009 | 67 | |
| 19 | 2010 | 67 | |
| 20 | 2015 | 66 |
About Eric E. O’Neill
Eric E. O’Neill is a scholar working on Cell Biology, Oncology, Molecular Biology, Immunology and Cancer Research, having authored 67 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (22 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related Molecular Pathways (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Cancer-related gene regulation (6 papers), DNA Repair Mechanisms (5 papers), Microtubule and mitosis dynamics (5 papers) and Melanoma and MAPK Pathways (5 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (2.4k citations), Oncology (831 citations), Cancer Research (421 citations) and Neurology (406 citations). Eric E. O’Neill has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Walter Kölch, Linda K. Rushworth, Manuela Baccarini, Alison D. Hindley, Karen S.Y. Yee, Anna M. Grawenda, David Gomez Matallanas, Garth Hamilton, David Romano and Thomas Meitinger. Their work appears in journals such as Cancer Research, Oncotarget, The EMBO Journal, Current Biology and Science 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.