Julia Olivieri
Impact in
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- Neuropeptides and Animal Physiology
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- Plant Diversity and Evolution
Papers in
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- Single-cell and spatial transcriptomics 2
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 2
- Genomics and Phylogenetic Studies 2
- Genetics 3
- Genetic diversity and population structure 2
- Genetic Associations and Epidemiology 1
- Genomics and Rare Diseases 1
- Co-authors
- H. Eric Xu (1 shared paper)Naomi R. Latorraca (1 shared paper)Raphael J.L. Townshend (1 shared paper)Jason K. Wang (1 shared paper)Scott A. Hollingsworth (1 shared paper)M. Sommer (1 shared paper)Ron O. Dror (1 shared paper)Michael J. Moore (2 shared papers)
- Journals
- Genome biology (1 paper)eLife (1 paper)Nature (1 paper)New Phytologist (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Julia Olivieri
6 papers receiving 353 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 86
- Ecology, Evolution, Behavior and Systematics 76
- Molecular Biology 269
- Genetics 62
- Plant Science 64
Countries citing papers authored by Julia Olivieri
This map shows the geographic impact of Julia Olivieri'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 Julia Olivieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Olivieri more than expected).
Fields of papers citing papers by Julia Olivieri
This network shows the impact of papers produced by Julia Olivieri. 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 Julia Olivieri. The network helps show where Julia Olivieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Olivieri, 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 | 2018 | 146 | |
| 2 | 2017 | 72 | |
| 3 | 2018 | 56 | |
| 4 | 2018 | 44 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 7 |
About Julia Olivieri
Julia Olivieri is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, having authored 6 papers that have together received 355 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), RNA Research and Splicing (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic diversity and population structure (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (86 citations), Ecology, Evolution, Behavior and Systematics (76 citations), Molecular Biology (269 citations), Genetics (62 citations) and Plant Science (64 citations). Julia Olivieri has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include H. Eric Xu, Naomi R. Latorraca, Raphael J.L. Townshend, Jason K. Wang, Scott A. Hollingsworth, M. Sommer, Ron O. Dror, Michael J. Moore, Ya Yang and Joseph F. Walker. Their work appears in journals such as Genome biology, eLife, Nature, New Phytologist and Molecular Biology and Evolution.
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.