Monique N. O’Leary

2.8k total citations
18 papers, 1.1k citations indexed

About

Monique N. O’Leary is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Monique N. O’Leary has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Monique N. O’Leary's work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Mitochondrial Function and Pathology (2 papers). Monique N. O’Leary is often cited by papers focused on RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Mitochondrial Function and Pathology (2 papers). Monique N. O’Leary collaborates with scholars based in United States, Germany and United Kingdom. Monique N. O’Leary's co-authors include Brian K. Kennedy, Emmeline C. Academia, Asma Nusrat, Miguel Quirós, Simon Melov, Pankaj Kapahi, Charles A. Parkos, Michael D. Nelson, Sean D. Mooney and James M. Flynn and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.

In The Last Decade

Monique N. O’Leary

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monique N. O’Leary United States 15 585 209 191 160 110 18 1.1k
Madison L. Doolittle United States 12 505 0.9× 208 1.0× 405 2.1× 73 0.5× 79 0.7× 23 1.0k
Robyn Laura Kosinsky Germany 19 841 1.4× 233 1.1× 297 1.6× 71 0.4× 48 0.4× 34 1.3k
Jorge Oller Spain 11 454 0.8× 373 1.8× 200 1.0× 45 0.3× 87 0.8× 14 1.2k
Jodie Birch United Kingdom 11 597 1.0× 366 1.8× 708 3.7× 149 0.9× 83 0.8× 15 1.5k
Lauren P. Virtuoso United States 12 297 0.5× 401 1.9× 402 2.1× 85 0.5× 46 0.4× 12 932
Katerina I. Leonova United States 10 672 1.1× 381 1.8× 443 2.3× 134 0.8× 29 0.3× 13 1.3k
Francesca Rossiello Italy 11 884 1.5× 225 1.1× 953 5.0× 296 1.9× 54 0.5× 16 1.6k
Gonzalo Soto‐Heredero Spain 7 390 0.7× 421 2.0× 192 1.0× 41 0.3× 50 0.5× 8 1.0k
Yong Fan United States 20 629 1.1× 234 1.1× 294 1.5× 42 0.3× 325 3.0× 52 1.6k
Addolorata Pisconti United States 17 819 1.4× 110 0.5× 396 2.1× 34 0.2× 168 1.5× 28 1.3k

Countries citing papers authored by Monique N. O’Leary

Since Specialization
Citations

This map shows the geographic impact of Monique N. O’Leary'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 Monique N. O’Leary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monique N. O’Leary more than expected).

Fields of papers citing papers by Monique N. O’Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monique N. O’Leary. 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 Monique N. O’Leary. The network helps show where Monique N. O’Leary may publish in the future.

Co-authorship network of co-authors of Monique N. O’Leary

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

All Works

18 of 18 papers shown
1.
Fan, Shuling, et al.. (2022). JAM-A signals through the Hippo pathway to regulate intestinal epithelial proliferation. iScience. 25(5). 104316–104316. 10 indexed citations
2.
Smith, Michelle R., Shuling Fan, Monique N. O’Leary, et al.. (2021). JAM‐A signals through the Hippo pathway to regulate intestinal epithelial proliferation. The FASEB Journal. 35(S1). 1 indexed citations
3.
Zhang, Hui, Fengbiao Mao, Hanshi Xu, et al.. (2019). MLL1 Inhibition and Vitamin D Signaling Cooperate to Facilitate the Expanded Pluripotency State. Cell Reports. 29(9). 2659–2671.e6. 9 indexed citations
4.
García, José R., Miguel Quirós, Woojin M. Han, et al.. (2019). IFN-γ-tethered hydrogels enhance mesenchymal stem cell-based immunomodulation and promote tissue repair. Biomaterials. 220. 119403–119403. 84 indexed citations
5.
Reed, Michelle, Anny‐Claude Luissint, Verónica Azcutia, et al.. (2019). Epithelial CD47 is critical for mucosal repair in the murine intestine in vivo. Nature Communications. 10(1). 5004–5004. 36 indexed citations
6.
O’Leary, Monique N., Miguel Quirós, Verónica Azcutia, et al.. (2019). Formyl peptide receptor 2 regulates monocyte recruitment to promote intestinal mucosal wound repair. The FASEB Journal. 33(12). 13632–13643. 43 indexed citations
7.
Hinrichs, Benjamin H., Jason D. Matthews, Dorothée Siuda, et al.. (2018). Serum Amyloid A1 Is an Epithelial Prorestitutive Factor. American Journal Of Pathology. 188(4). 937–949. 18 indexed citations
8.
Quirós, Miguel, Hikaru Nishio, Philipp Neumann, et al.. (2017). Macrophage-derived IL-10 mediates mucosal repair by epithelial WISP-1 signaling. Journal of Clinical Investigation. 127(9). 3510–3520. 160 indexed citations
9.
Bose, Neelanjan, Jarcy Zee, Jennifer Beck, et al.. (2017). α-Lipoic acid treatment prevents cystine urolithiasis in a mouse model of cystinuria. Nature Medicine. 23(3). 288–290. 48 indexed citations
10.
Zhang, Yong, Monique N. O’Leary, Suraj Peri, et al.. (2017). Ribosomal Proteins Rpl22 and Rpl22l1 Control Morphogenesis by Regulating Pre-mRNA Splicing. Cell Reports. 18(2). 545–556. 64 indexed citations
11.
Riley, Rebeccah, Monique N. O’Leary, Katherine H. Schreiber, et al.. (2017). mTORC1 Activation during Repeated Regeneration Impairs Somatic Stem Cell Maintenance. Cell stem cell. 21(6). 806–818.e5. 82 indexed citations
12.
Academia, Emmeline C., et al.. (2016). Rapamycin Reverses Metabolic Deficits in Lamin A/C-Deficient Mice. Cell Reports. 17(10). 2542–2552. 44 indexed citations
13.
O’Leary, Monique N., Steven Nguyen, Samiha Mateen, et al.. (2016). Metformin inhibits Branched Chain Amino Acid (BCAA) derived ketoacidosis and promotes metabolic homeostasis in MSUD. Scientific Reports. 6(1). 28775–28775. 30 indexed citations
14.
Tsai, Shih‐Yin, Somasish Ghosh Dastidar, Emmeline C. Academia, et al.. (2015). Muscle-specific 4E-BP1 signaling activation improves metabolic parameters during aging and obesity. Journal of Clinical Investigation. 125(8). 2952–2964. 98 indexed citations
15.
Flynn, James M., Monique N. O’Leary, Emmeline C. Academia, et al.. (2013). Late-life rapamycin treatment reverses age-related heart dysfunction. Aging Cell. 12(5). 851–862. 240 indexed citations
16.
O’Leary, Monique N., Katherine H. Schreiber, Yong Zhang, et al.. (2013). The Ribosomal Protein Rpl22 Controls Ribosome Composition by Directly Repressing Expression of Its Own Paralog, Rpl22l1. PLoS Genetics. 9(8). e1003708–e1003708. 97 indexed citations
17.
Keel, Sioḃán, et al.. (2011). Establishing Rps6 hemizygous mice as a model for studying how ribosomal protein haploinsufficiency impairs erythropoiesis. Experimental Hematology. 40(4). 290–294. 16 indexed citations
18.
O’Leary, Monique N., et al.. (1996). Effects of dietary sodium substitution with potassium and magnesium in hypertensive type II diabetics: a randomised blind controlled parallel study.. PubMed. 10(8). 517–21. 27 indexed citations

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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