Meagan E. Olive
Impact in
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
Papers in
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- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 1
- Protein Degradation and Inhibitors 1
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Steven A. Carr (5 shared papers)Namrata D. Udeshi (5 shared papers)Shankha Satpathy (2 shared papers)Jessica A. Gasser (1 shared paper)Shaunt Fereshetian (1 shared paper)Benjamin L. Ebert (1 shared paper)Tanya Svinkina (1 shared paper)Philipp Mertins (1 shared paper)
- Journals
- Nature Methods (1 paper)PLoS Pathogens (1 paper)Nature Communications (1 paper)Immunity (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesFranceUganda
In The Last Decade
Meagan E. Olive
6 papers receiving 142 citations
Peers
Comparison fields: 5 of 37
- Spectroscopy 30
- Molecular Biology 109
- Cell Biology 13
- Oncology 21
- Genetics 8
Countries citing papers authored by Meagan E. Olive
This map shows the geographic impact of Meagan E. Olive'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 Meagan E. Olive with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meagan E. Olive more than expected).
Fields of papers citing papers by Meagan E. Olive
This network shows the impact of papers produced by Meagan E. Olive. 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 Meagan E. Olive. The network helps show where Meagan E. Olive may publish in the future.
Co-authors
The 25 scholars most cited alongside Meagan E. Olive, 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 | 2020 | 73 | |
| 2 | 2020 | 26 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 11 | |
| 5 | 2023 | 9 | |
| 6 | 2024 | 6 | |
| 7 | 2025 | 0 | |
| 8 | 2019 | 0 |
About Meagan E. Olive
Meagan E. Olive is a scholar working on Molecular Biology, Physiology, Spectroscopy, Surgery and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 142 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Ubiquitin and proteasome pathways (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Spectroscopy (30 citations), Molecular Biology (109 citations), Cell Biology (13 citations), Oncology (21 citations) and Genetics (8 citations). Meagan E. Olive has collaborated with scholars based in United States, France and Uganda. Frequent co-authors include Steven A. Carr, Namrata D. Udeshi, Shankha Satpathy, Jessica A. Gasser, Shaunt Fereshetian, Benjamin L. Ebert, Tanya Svinkina, Philipp Mertins, Mateo I. Sánchez and Alice Y. Ting. Their work appears in journals such as Nature Methods, PLoS Pathogens, Nature Communications, Immunity and Molecular & Cellular Proteomics.
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.