Matthew MacKay

6.4k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Matthew MacKay is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Matthew MacKay has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Cancer Research. Recurrent topics in Matthew MacKay's work include Spaceflight effects on biology (7 papers), Cancer Genomics and Diagnostics (7 papers) and Single-cell and spatial transcriptomics (4 papers). Matthew MacKay is often cited by papers focused on Spaceflight effects on biology (7 papers), Cancer Genomics and Diagnostics (7 papers) and Single-cell and spatial transcriptomics (4 papers). Matthew MacKay collaborates with scholars based in United States, Germany and Japan. Matthew MacKay's co-authors include Christopher E. Mason, Ari Melnick, Francine E. Garrett-Bakelman, Jessica Schulman, Minal Patel, Sara Zaccara, Diu Nguyen, Michael G. Kharas, Christopher Famulare and Samie R. Jaffrey and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

Matthew MacKay

20 papers receiving 1.7k 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.

The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells

2017 932 citations Ly Vu, Brian F. Pickering et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew MacKay United States	12	1.2k	582	378	203	197	20	1.7k
Isabelle Robert France	19	1.1k 0.9×	224 0.4×	710 1.9×	57 0.3×	81 0.4×	36	1.7k
Rik G.H. Lindeboom Netherlands	19	1.5k 1.2×	365 0.6×	285 0.8×	25 0.1×	60 0.3×	26	1.9k
Elisabetta Mereu Italy	16	843 0.7×	219 0.4×	226 0.6×	99 0.5×	25 0.1×	29	1.3k
Min Xie China	20	1.8k 1.5×	1.7k 2.9×	98 0.3×	53 0.3×	66 0.3×	47	2.2k
Travis Law United States	6	994 0.8×	311 0.5×	301 0.8×	21 0.1×	29 0.1×	8	1.3k
Mohit Sachdeva United States	15	1.5k 1.2×	1.2k 2.0×	429 1.1×	25 0.1×	25 0.1×	26	2.0k
Kaori Takai United States	16	1.3k 1.0×	236 0.4×	225 0.6×	625 3.1×	44 0.2×	21	1.5k
Benjamin Boyerinas United States	10	990 0.8×	715 1.2×	623 1.6×	23 0.1×	34 0.2×	16	1.7k
Hai Yan United States	8	734 0.6×	499 0.9×	184 0.5×	20 0.1×	47 0.2×	8	1.2k
Tina Albertson United States	15	540 0.4×	183 0.3×	563 1.5×	17 0.1×	124 0.6×	34	1.2k

Countries citing papers authored by Matthew MacKay

Since Specialization

Citations

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

Fields of papers citing papers by Matthew MacKay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew MacKay

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

All Works

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20 of 20 papers shown

Iams, Wade T., Matthew MacKay, Rotem Ben‐Shachar, et al.. (2024). Concurrent Tissue and Circulating Tumor DNA Molecular Profiling to Detect Guideline-Based Targeted Mutations in a Multicancer Cohort. JAMA Network Open. 7(1). e2351700–e2351700. 31 indexed citations

Rutter, Lindsay, Henry Cope, Matthew MacKay, et al.. (2024). Astronaut omics and the impact of space on the human body at scale. Nature Communications. 15(1). 4952–4952. 9 indexed citations

Rutter, Lindsay, Matthew MacKay, Henry Cope, et al.. (2024). Protective alleles and precision healthcare in crewed spaceflight. Nature Communications. 15(1). 6158–6158. 6 indexed citations

MacKay, Matthew, et al.. (2023). Abstract P5-05-08: Dual ctDNA and tissue sequencing improves detection of actionable variants in breast cancer patients. Cancer Research. 83(5_Supplement). P5–5. 1 indexed citations

Liu, Minetta C., Matthew MacKay, Christine Lo, et al.. (2022). Longitudinal Shifts of Solid Tumor and Liquid Biopsy Sequencing Concordance in Metastatic Breast Cancer. JCO Precision Oncology. 6(6). e2100321–e2100321. 16 indexed citations

Cope, Henry, Matthew MacKay, Lindsay Rutter, et al.. (2022). Routine omics collection is a golden opportunity for European human research in space and analog environments. Patterns. 3(10). 100550–100550. 9 indexed citations

Mencia-Trinchant, Nuria, Matthew MacKay, Christopher R. Chin, et al.. (2021). Clonal hematopoiesis before, during, and after human spaceflight. Cell Reports. 34(6). 108740–108740. 7 indexed citations

Micklethwaite, Kenneth, Kavitha Gowrishankar, Brian Gloss, et al.. (2021). Investigation of product-derived lymphoma following infusion of piggyBac-modified CD19 chimeric antigen receptor T cells. Blood. 138(16). 1391–1405. 142 indexed citations

Mencia-Trinchant, Nuria, Matthew MacKay, Christopher R. Chin, et al.. (2020). Clonal Hematopoiesis Before, During, and After Human Spaceflight. Cell Reports. 33(10). 108458–108458. 36 indexed citations

10.

Chin, Christopher R., Matthew MacKay, Christina Chang, et al.. (2020). Multi-omic, Single-Cell, and Biochemical Profiles of Astronauts Guide Pharmacological Strategies for Returning to Gravity. Cell Reports. 33(10). 108429–108429. 41 indexed citations

11.

MacKay, Matthew, Ebrahim Afshinnekoo, Mihir Khunte, et al.. (2020). The therapeutic landscape for cells engineered with chimeric antigen receptors. Nature Biotechnology. 38(2). 233–244. 165 indexed citations

12.

McKenna, Miles J., Lynn Taylor, K. George, et al.. (2020). Telomere Length Dynamics and DNA Damage Responses Associated with Long-Duration Spaceflight. Cell Reports. 33(10). 108457–108457. 59 indexed citations

13.

Yang, Ling, Xiaoyan Zhang, Matthew MacKay, et al.. (2020). Identification of Radioresponsive Genes in Esophageal Cancer from Longitudinal and Single Cell Exome Sequencing. International Journal of Radiation Oncology*Biology*Physics. 108(4). 1103–1114. 11 indexed citations

14.

McKenna, Miles J., Lynn Taylor, K. George, et al.. (2020). Temporal Telomere and DNA Damage Responses in the Space Radiation Environment. Cell Reports. 33(10). 108435–108435. 57 indexed citations

15.

Goldman, Samantha L., et al.. (2019). The Impact of Heterogeneity on Single-Cell Sequencing. Frontiers in Genetics. 10. 8–8. 86 indexed citations

16.

Liu, Eric Minwei, Alexander Martinez‐Fundichely, Bianca J. Diaz, et al.. (2019). Identification of Cancer Drivers at CTCF Insulators in 1,962 Whole Genomes. Cell Systems. 8(5). 446–455.e8. 49 indexed citations

17.

MacKay, Matthew, et al.. (2019). Translating current biomedical therapies for long duration, deep space missions. Precision Clinical Medicine. 2(4). 259–269. 24 indexed citations

18.

Vu, Ly, Brian F. Pickering, Yuanming Cheng, et al.. (2017). The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells. Nature Medicine. 23(11). 1369–1376. 932 indexed citations breakdown →

19.

Vu, Ly, Brian F. Pickering, Yuanming Cheng, et al.. (2017). m6a Regulates Differentiation State and mRNA Translation in Myeloid Leukemia. Blood. 130(Suppl_1). 791–791. 2 indexed citations

20.

Ferguson, Peter M., Kirk W. Feindel, Matthew MacKay, et al.. (2013). Strongly Magnetic Iron Nanoparticles Improve the Diagnosis of Small Tumours in the Reticuloendothelial System by Magnetic Resonance Imaging. PLoS ONE. 8(2). e56572–e56572. 11 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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