Eric O’Neill

5.0k citations
65 papers · 3.5k indexed · h-index 31

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Melanoma and MAPK Pathways
    • Epigenetics and DNA Methylation
    • Protein Kinase Regulation and GTPase Signaling
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation

Papers in

    • Hippo pathway signaling and YAP/TAZ 20
    • Microtubule and mitosis dynamics 5
    • Pancreatic and Hepatic Oncology Research 13
    • Cancer-related Molecular Pathways 8

Eric O’Neill

62 papers receiving 3.5k citations

Peers

Eric O’Neill
Comparison fields: 5 of 108
  • Cell Biology 1.1k
  • Molecular Biology 2.3k
  • Oncology 793
  • Cancer Research 427
  • Neurology 380
Replace Takashi Sasayama with:
Takashi Sasayama Japan
Caretha L. Creasy United States
Mariona Graupera Spain
Jiing‐Dwan Lee United States
Andrea Morrione United States
Mark Manfredi United States
Graham C. Fletcher Canada
Julie Guillermet‐Guibert France
John P. O’Bryan United States
Ulla Engström Sweden
Eric O’Neill relative to Takashi Sasayama Japan Takashi Sasayama's profile →
Citations per field
00.5×1.5×
Takashi Sasayama · 1×
Citations per year

Countries citing papers authored by Eric O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Eric O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20255
3 20246
4 20228
5 2019101
6 201915
7 201932
8 20194
9 20197
10 2018155
11 201721
12 201751
13 201455
14 201232
15 201243
16 201065
17 200986
18 2006315
19 200548
20 2004243

About Eric O’Neill

Eric O’Neill is a scholar working on Cell Biology, Oncology, Molecular Biology, Cancer Research and Immunology, having authored 65 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (20 papers), Pancreatic and Hepatic Oncology Research (13 papers), Epigenetics and DNA Methylation (12 papers), Cancer-related Molecular Pathways (8 papers), Melanoma and MAPK Pathways (5 papers), Microtubule and mitosis dynamics (5 papers), DNA Repair Mechanisms (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (2.3k citations), Oncology (793 citations), Cancer Research (427 citations) and Neurology (380 citations). Eric O’Neill has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Walter Kölch, Linda Rushworth, Manuela Baccarini, Alison D. Hindley, Karen S. Yee, David Matallanas, Anna M. Grawenda, David Romano, Christian Johannes Gloeckner and Holger Prokisch. Their work appears in journals such as Cancer Research, Oncotarget, The EMBO Journal, Cell Cycle and British Journal of Cancer.

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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