Rachel J. O’Neill
- Genetics top 1%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 21
- Genetic Mapping and Diversity in Plants and Animals 19
- Genetic diversity and population structure 19
- Animal Genetics and Reproduction 12
- Plant Science top 1%
- Chromosomal and Genetic Variations 48
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 29
- Genomics and Chromatin Dynamics 18
- CRISPR and Genetic Engineering 10
- Paleontology top 5%
- Co-authors
- Michael J. O’NeillJennifer A. Marshall GravesJudith BrownCraig ObergfellMark D. B. EldridgeGianni C FerreriGabrielle A. HartleyLawrence E. Gilbert
- Journals
- Nature (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Rachel J. O’Neill
116 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Genetics 1.7k
- Plant Science 1.9k
- Molecular Biology 2.4k
- Ecology, Evolution, Behavior and Systematics 431
- Paleontology 113
Countries citing papers authored by Rachel J. O’Neill
This map shows the geographic impact of Rachel J. 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 Rachel J. 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 Rachel J. O’Neill more than expected).
Fields of papers citing papers by Rachel J. O’Neill
This network shows the impact of papers produced by Rachel J. 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 Rachel J. O’Neill. The network helps show where Rachel J. O’Neill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel J. 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 | 2025 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 76 | |
| 12 | 2018 | 8 | |
| 13 | 2013 | 2 | |
| 14 | 2012 | 30 | |
| 15 | 2011 | 2 | |
| 16 | 2009 | 19 | |
| 17 | 2006 | 262 | |
| 18 | 2004 | 51 | |
| 19 | 2004 | 10 | |
| 20 | 1997 | 8 |
About Rachel J. O’Neill
Rachel J. O’Neill is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 119 papers that have together received 4.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (48 papers), Genomics and Phylogenetic Studies (29 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetic diversity and population structure (19 papers), Genomics and Chromatin Dynamics (18 papers), Animal Genetics and Reproduction (12 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Genetics (1.7k citations), Plant Science (1.9k citations) and Molecular Biology (2.4k citations). Rachel J. O’Neill has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michael J. O’Neill, Jennifer A. Marshall Graves, Judith Brown, Craig Obergfell, Mark D. B. Eldridge, Gianni C Ferreri, Gabrielle A. Hartley, Lawrence E. Gilbert, Marcus R. Kronforst and Camille McNeely. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.