Rachel J. O’Neill
- Molecular Biology top 5%
- Plant Science top 1%
- Genetics top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Ecology top 5%
- Co-authors
- Michael J. O’NeillJennifer A. Marshall GravesJudith BrownCraig ObergfellMark D. B. EldridgeGianni C FerreriGabrielle A. HartleyLawrence E. Gilbert
- Topics
- Chromosomal and Genetic Variations (48 papers)Genomics and Phylogenetic Studies (29 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 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
- Molecular Biology 2.4k
- Plant Science 1.9k
- Genetics 1.7k
- Ecology, Evolution, Behavior and Systematics 431
- Ecology 330
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 of co-authors of Rachel J. O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel J. O’Neill. A scholar is included among the top collaborators of Rachel J. O’Neill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rachel J. O’Neill. Rachel J. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 76 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | 262 | |
| 18 | 51 | |
| 19 | 10 | |
| 20 | 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) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 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.