Greg O’Connor
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- Multiple Myeloma Research and Treatments 2
- Chronic Myeloid Leukemia Treatments 1
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- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
- Co-authors
- Peter S. DiStefano (2 shared papers)Rory Curtis (2 shared papers)Javier Apfeld (1 shared paper)J. Carl Barrett (3 shared papers)Robert McEwen (1 shared paper)Todd M. Bauer (1 shared paper)Rich Woessner (1 shared paper)Manish R. Patel (1 shared paper)
- Journals
- Blood (2 papers)Clinical Cancer Research (2 papers)Aging Cell (1 paper)Genes & Development (1 paper)Police Practice and Research (1 paper)
- Partner nations
- United StatesBrazilLithuania
In The Last Decade
Greg O’Connor
7 papers receiving 794 citations
Greg O’Connor's Hit Papers
Peers
Comparison fields: 5 of 90
- Aging 449
- Endocrine and Autonomic Systems 174
- Geriatrics and Gerontology 78
- Physiology 56
- Physiology 231
Countries citing papers authored by Greg O’Connor
This map shows the geographic impact of Greg O’Connor'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 Greg O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg O’Connor more than expected).
Fields of papers citing papers by Greg O’Connor
This network shows the impact of papers produced by Greg O’Connor. 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 Greg O’Connor. The network helps show where Greg O’Connor may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg O’Connor, 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 | The AMP-activated protein kinase AAK-2 links energy levels and insulin-like signals to lifespan in C. elegans Hit paper breakdown → | 2004 | 515 |
| 2 | 2006 | 161 | |
| 3 | 2020 | 69 | |
| 4 | 2019 | 24 | |
| 5 | 2017 | 17 | |
| 6 | 2008 | 14 | |
| 7 | 2012 | 2 | |
| 8 | 2014 | 0 |
About Greg O’Connor
Greg O’Connor is a scholar working on Hematology, Molecular Biology, Endocrine and Autonomic Systems, Aging and Political Science and International Relations, having authored 8 papers that have together received 802 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (2 papers), Multiple Myeloma Research and Treatments (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer Mechanisms and Therapy (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Ubiquitin and proteasome pathways (1 paper), Criminal Justice and Corrections Analysis (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Aging (449 citations), Endocrine and Autonomic Systems (174 citations), Geriatrics and Gerontology (78 citations), Physiology (56 citations) and Physiology (231 citations). Greg O’Connor has collaborated with scholars based in United States, Brazil and Lithuania. Frequent co-authors include Peter S. DiStefano, Rory Curtis, Javier Apfeld, J. Carl Barrett, Robert McEwen, Todd M. Bauer, Rich Woessner, Manish R. Patel, Deanna L. Russell and Melinda S. Merchant. Their work appears in journals such as Blood, Clinical Cancer Research, Aging Cell, Genes & Development and Police Practice and Research.
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.