Mairéad Reidy

1.5k total citations · 1 hit paper
15 papers, 719 citations indexed

About

Mairéad Reidy is a scholar working on Hematology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Mairéad Reidy has authored 15 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Mairéad Reidy's work include Multiple Myeloma Research and Treatments (10 papers), Cancer Mechanisms and Therapy (4 papers) and Synthesis and bioactivity of alkaloids (2 papers). Mairéad Reidy is often cited by papers focused on Multiple Myeloma Research and Treatments (10 papers), Cancer Mechanisms and Therapy (4 papers) and Synthesis and bioactivity of alkaloids (2 papers). Mairéad Reidy collaborates with scholars based in United States, Ireland and France. Mairéad Reidy's co-authors include Irene M. Ghobrial, Alexandre Detappe, Weiwen Ying, Nora Kory, Jordan Rossen, Peter Tsvetkov, Zarina Brune, Susan Lindquist, Kai Cai and Aviad Tsherniak and has published in prestigious journals such as Blood, Nanoscale and Nature Chemical Biology.

In The Last Decade

Mairéad Reidy

14 papers receiving 697 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mitochondrial metabolism promotes adaptation to proteotoxic stress

2019 436 citations Peter Tsvetkov, Alexandre Detappe et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mairéad Reidy United States	7	337	183	169	140	133	15	719
Goldie Y.L. Lui Australia	12	523 1.6×	316 1.7×	165 1.0×	103 0.7×	126 0.9×	17	872
Ota Fuchs Czechia	18	569 1.7×	164 0.9×	111 0.7×	101 0.7×	82 0.6×	67	1.0k
Divya Ramchandani United States	12	253 0.8×	177 1.0×	128 0.8×	170 1.2×	122 0.9×	12	593
Sanaz Maleki Australia	12	344 1.0×	162 0.9×	52 0.3×	163 1.2×	49 0.4×	15	643
Zarina Brune United States	4	273 0.8×	117 0.6×	169 1.0×	135 1.0×	133 1.0×	9	509
Hye Sook Chon United States	16	213 0.6×	222 1.2×	112 0.7×	119 0.8×	20 0.2×	68	680
Vegi M. Naidu Germany	12	434 1.3×	106 0.6×	300 1.8×	171 1.2×	57 0.4×	26	916
Nita Fisher United Kingdom	8	237 0.7×	181 1.0×	69 0.4×	156 1.1×	29 0.2×	9	520
Maree Bilandzic Australia	17	391 1.2×	351 1.9×	52 0.3×	157 1.1×	60 0.5×	29	884

Countries citing papers authored by Mairéad Reidy

Since Specialization

Citations

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

Fields of papers citing papers by Mairéad Reidy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mairéad Reidy. 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 Mairéad Reidy. The network helps show where Mairéad Reidy may publish in the future.

Co-authorship network of co-authors of Mairéad Reidy

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

All Works

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15 of 15 papers shown

Detappe, Alexandre, Mairéad Reidy, Yingjie Yu, et al.. (2019). Antibody-targeting of ultra-small nanoparticles enhances imaging sensitivity and enables longitudinal tracking of multiple myeloma. Nanoscale. 11(43). 20485–20496. 31 indexed citations

Tsvetkov, Peter, Alexandre Detappe, Kai Cai, et al.. (2019). Mitochondrial metabolism promotes adaptation to proteotoxic stress. Nature Chemical Biology. 15(7). 681–689. 436 indexed citations breakdown →

Sklavenitis‐Pistofidis, Romanos, Mairéad Reidy, Daisy Huynh, et al.. (2019). Founding precision therapy for 1q-amplified multiple myeloma. Clinical Lymphoma Myeloma & Leukemia. 19(10). e50–e50. 2 indexed citations

Lightbody, Elizabeth D., Mairéad Reidy, Michael P. Agius, et al.. (2019). A High-Throughput Drug Screen Reveals a Novel Compound Class That Significantly Depletes IRF4 Expression in Multiple Myeloma. Blood. 134(Supplement_1). 5545–5545. 2 indexed citations

Sklavenitis‐Pistofidis, Romanos, Mairéad Reidy, Daisy Huynh, et al.. (2018). Founding Precision Therapy in 1q-Amplified Multiple Myeloma. Blood. 132(Supplement 1). 1007–1007. 2 indexed citations

Rahmat, Mahshid, Nicholas J. Haradhvala, Romanos Sklavenitis‐Pistofidis, et al.. (2018). Dissecting the Epigenetic Landscape of Smoldering, Newly Diagnosed and Relapsed Multiple Myeloma Revealed IRAK3 As a Marker of Disease Progression. Blood. 132(Supplement 1). 3896–3896. 2 indexed citations

Detappe, Alexandre, et al.. (2017). Development of an Antibody-Targeted Nanoparticle for Early Detection of Minimal Residual Disease in Multiple Myeloma. Blood. 130. 4430–4430. 4 indexed citations

Zhou, Jian, Mairéad Reidy, Ciaran O’Reilly, et al.. (2015). Decorated Macrocycles via Ring-Closing Double-Reductive Amination. Identification of an Apoptosis Inducer of Leukemic Cells That at Least Partially Antagonizes a 5-HT2 Receptor. Organic Letters. 17(7). 1672–1675. 19 indexed citations

Keane, Niamh, Mairéad Reidy, Alessandro Natoni, Marc S. Raab, & Michael O’Dwyer. (2015). Targeting the Pim kinases in multiple myeloma. Blood Cancer Journal. 5(7). e325–e325. 80 indexed citations

10.

Keane, Niamh, Mairéad Reidy, Alessandro Natoni, & Michael O’Dwyer. (2015). Concurrent Inhibition of Pim and Akt Pathways with Pim447 and Afuresertib Activates FOXO3a and Depletes c-Myc to Induce Synergistic Cell Death in Multiple Myeloma. Blood. 126(23). 3007–3007. 2 indexed citations

11.

Reidy, Mairéad, et al.. (2015). The Dual PIM/PI3-K Inhibitor Ibl-202 Overcomes Microenvironmental Mediated Resistance in Multiple Myeloma and Prevents PIM1 Induced CXCR4 Upregulation. Blood. 126(23). 5350–5350. 1 indexed citations

12.

Reidy, Mairéad, et al.. (2014). Initial Evaluation of Novel Dual PIM/PI3K and Triple PIM/PI3K/mTOR Inhibitors in Multiple Myeloma. Blood. 124(21). 5713–5713. 5 indexed citations

13.

Mohr, Andrea, Stella Maris Albarenque, Laura Deedigan, et al.. (2010). Targeting of XIAP Combined with Systemic Mesenchymal Stem Cell-Mediated Delivery of sTRAIL Ligand Inhibits Metastatic Growth of Pancreatic Carcinoma Cells. Stem Cells. 28(11). 2109–2120. 74 indexed citations

14.

Sosin, Michael R., et al.. (1996). Paths and Impacts in the Progressive Independence Model:. Journal of Addictive Diseases. 14(4). 1–20. 49 indexed citations

15.

Rottman, David B. & Mairéad Reidy. (1988). Redistribution through state social expenditure in the Republic of Ireland, 1973-1980. 10 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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