Meagan E. Olive

482 total citations
8 papers, 142 citations indexed

About

Meagan E. Olive is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Meagan E. Olive has authored 8 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Spectroscopy. Recurrent topics in Meagan E. Olive's work include RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Meagan E. Olive is often cited by papers focused on RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Meagan E. Olive collaborates with scholars based in United States, France and Germany. Meagan E. Olive's co-authors include Namrata D. Udeshi, Steven A. Carr, Shankha Satpathy, Shaunt Fereshetian, Jessica A. Gasser, Benjamin L. Ebert, Philipp Mertins, Tanya Svinkina, Jonathan S. Weissman and Michael C. Bassik and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Meagan E. Olive

6 papers receiving 142 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Meagan E. Olive United States	6	109	30	21	19	15	8	142
Eduardo Zarzuela Spain	10	164 1.5×	20 0.7×	28 1.3×	12 0.6×	10 0.7×	15	202
Erika Deoudes United States	3	117 1.1×	15 0.5×	26 1.2×	8 0.4×	8 0.5×	3	158
Andrea Goya Grocin United Kingdom	6	124 1.1×	15 0.5×	38 1.8×	9 0.5×	12 0.8×	6	163
Mariya Mardamshina Israel	4	56 0.5×	15 0.5×	15 0.7×	18 0.9×	17 1.1×	5	109
Roberto Giambruno Italy	9	197 1.8×	14 0.5×	32 1.5×	7 0.4×	10 0.7×	18	231
David Kotol Sweden	9	111 1.0×	48 1.6×	22 1.0×	22 1.2×	8 0.5×	15	167
Ginny Xiaohe Li United States	4	129 1.2×	93 3.1×	16 0.8×	11 0.6×	5 0.3×	6	180
Vincent Fong Canada	8	171 1.6×	67 2.2×	19 0.9×	9 0.5×	10 0.7×	10	210
Charlotta Agaton Sweden	8	220 2.0×	57 1.9×	14 0.7×	5 0.3×	8 0.5×	11	268
Rebecca Klingberg Germany	6	297 2.7×	14 0.5×	21 1.0×	10 0.5×	6 0.4×	7	317

Countries citing papers authored by Meagan E. Olive

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Meagan E. Olive

This figure shows the co-authorship network connecting the top 25 collaborators of Meagan E. Olive. A scholar is included among the top collaborators of Meagan E. Olive 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 Meagan E. Olive. Meagan E. Olive is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Levan, Justine, Meagan E. Olive, R. L. Hunter, et al.. (2025). Liver stage P. falciparum antigens highly targeted by CD4+ T cells in malaria-exposed Ugandan children. PLoS Pathogens. 21(2). e1012943–e1012943.

2.

Olive, Meagan E., Mudra Hegde, Maria I. Matias, et al.. (2024). Post-translational modification-centric base editor screens to assess phosphorylation site functionality in high throughput. Nature Methods. 21(6). 1033–1043. 6 indexed citations

3.

Larangé, Alexandre, Kiyokazu Kakugawa, Meagan E. Olive, et al.. (2023). A regulatory circuit controlled by extranuclear and nuclear retinoic acid receptor α determines T cell activation and function. Immunity. 56(9). 2054–2069.e10. 9 indexed citations

4.

Rivera, Keith, Meagan E. Olive, Erik J. Bergstrom, et al.. (2021). Automating UbiFast for High-throughput and Multiplexed Ubiquitin Enrichment. Molecular & Cellular Proteomics. 20. 100154–100154. 11 indexed citations

5.

Coukos, Robert, David Yao, Mateo I. Sánchez, et al.. (2021). An engineered transcriptional reporter of protein localization identifies regulators of mitochondrial and ER membrane protein trafficking in high-throughput CRISPRi screens. eLife. 10. 17 indexed citations

6.

Udeshi, Namrata D., Shankha Satpathy, Shaunt Fereshetian, et al.. (2020). Rapid and deep-scale ubiquitylation profiling for biology and translational research. Nature Communications. 11(1). 359–359. 73 indexed citations

7.

Yan, Hongxia, John Hale, Brian M. Dulmovits, et al.. (2020). Steroid resistance in Diamond Blackfan anemia associates with p57Kip2 dysregulation in erythroid progenitors. Journal of Clinical Investigation. 130(4). 2097–2110. 26 indexed citations

8.

Ashley, Ryan L., Hongxia Yan, Nan Wang, et al.. (2019). Glucocorticoids Induce the Maintenance and Expansion of an Immature CFU-E Erythroid Progenitor Population in Humans. Blood. 134(Supplement_1). 943–943.

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.

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