Chris O’Neill
- Reproductive Medicine top 2%
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- Reproductive Biology and Fertility 30
- Immunology top 5%
- Reproductive System and Pregnancy 17
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 7
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- Pluripotent Stem Cells Research 16
- Epigenetics and DNA Methylation 12
- Cancer-related gene regulation 6
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- Reproductive Physiology in Livestock 8
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- Cancer-related Molecular Pathways 6
- Co-authors
- Xingliang JinAlaina J. AmmitVashe ChandrakanthanD. M. SaundersTomas StojanovYan LiHugh D. MorganAiqing Li
- Journals
- Biology of Reproduction (15 papers)Reproduction (9 papers)Reproduction Fertility and Development (4 papers)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Chris O’Neill
72 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Reproductive Medicine 375
- Public Health, Environmental and Occupational Health 960
- Immunology 460
- Obstetrics and Gynecology 160
- Pediatrics, Perinatology and Child Health 316
Countries citing papers authored by Chris O’Neill
This map shows the geographic impact of Chris 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 Chris 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 Chris O’Neill more than expected).
Fields of papers citing papers by Chris O’Neill
This network shows the impact of papers produced by Chris 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 Chris O’Neill. The network helps show where Chris O’Neill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris 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 | 2025 | 1 | |
| 2 | 2016 | 18 | |
| 3 | 2015 | 12 | |
| 4 | 2014 | 11 | |
| 5 | 2014 | 10 | |
| 6 | 2013 | 29 | |
| 7 | 2010 | 12 | |
| 8 | 2009 | 11 | |
| 9 | 2009 | 23 | |
| 10 | 2008 | 76 | |
| 11 | 2008 | 40 | |
| 12 | 2007 | 14 | |
| 13 | 2007 | 22 | |
| 14 | 2007 | 40 | |
| 15 | 2004 | 5 | |
| 16 | 1995 | 15 | |
| 17 | 1993 | 75 | |
| 18 | 1993 | 17 | |
| 19 | 1990 | 10 | |
| 20 | 1988 | 66 |
About Chris O’Neill
Chris O’Neill is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Obstetrics and Gynecology, Immunology and Agronomy and Crop Science, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (30 papers), Reproductive System and Pregnancy (17 papers), Pluripotent Stem Cells Research (16 papers), Epigenetics and DNA Methylation (12 papers), Reproductive Physiology in Livestock (8 papers), Pregnancy and preeclampsia studies (7 papers), Cancer-related Molecular Pathways (6 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Reproductive Medicine (375 citations), Public Health, Environmental and Occupational Health (960 citations), Immunology (460 citations), Obstetrics and Gynecology (160 citations) and Pediatrics, Perinatology and Child Health (316 citations). Chris O’Neill has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Xingliang Jin, Alaina J. Ammit, Vashe Chandrakanthan, D. M. Saunders, Tomas Stojanov, Yan Li, Hugh D. Morgan, Aiqing Li, John P. Ryan and Margot L. Day. Their work appears in journals such as Biology of Reproduction, Reproduction, Reproduction Fertility and Development, Human Reproduction and Reproductive Biology and Endocrinology.
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.