Matthew MacKay
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Aging top 5%
Papers in
-
- Spaceflight effects on biology 7
-
- Single-cell and spatial transcriptomics 3
- Cancer-related gene regulation 2
- Co-authors
- Christopher E. Mason (16 shared papers)Ari Melnick (7 shared papers)Francine E. Garrett-Bakelman (5 shared papers)Virginia M. Klimek (1 shared paper)Jessica Schulman (1 shared paper)Christopher Famulare (2 shared papers)Gerard Minuesa (2 shared papers)Timothy Chou (2 shared papers)
- Journals
- Cell Reports (5 papers)Nature Communications (2 papers)Blood (2 papers)Nature Medicine (1 paper)Precision Clinical Medicine (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Matthew MacKay
20 papers receiving 1.7k citations
Matthew MacKay's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 523
- Aging 54
- Molecular Biology 1.2k
- Oncology 371
- Physiology 201
Countries citing papers authored by Matthew MacKay
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
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-authors
The 25 scholars most cited alongside Matthew MacKay, 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 | The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells Hit paper breakdown → | 2017 | 947 |
| 2 | 2020 | 172 | |
| 3 | 2021 | 151 | |
| 4 | 2019 | 87 | |
| 5 | 2020 | 61 | |
| 6 | 2020 | 60 | |
| 7 | 2019 | 52 | |
| 8 | 2020 | 45 | |
| 9 | 2024 | 40 | |
| 10 | 2020 | 38 | |
| 11 | 2019 | 24 | |
| 12 | 2022 | 17 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2017 | 2 | |
| 20 | 2023 | 1 |
About Matthew MacKay
Matthew MacKay is a scholar working on Physiology, Molecular Biology, Cancer Research, Genetics and Hematology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Spaceflight effects on biology (7 papers), Cancer Genomics and Diagnostics (6 papers), High Altitude and Hypoxia (3 papers), Single-cell and spatial transcriptomics (3 papers), Acute Myeloid Leukemia Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer-related gene regulation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (523 citations), Aging (54 citations), Molecular Biology (1.2k citations), Oncology (371 citations) and Physiology (201 citations). Matthew MacKay has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Christopher E. Mason, Ari Melnick, Francine E. Garrett-Bakelman, Virginia M. Klimek, Jessica Schulman, Christopher Famulare, Gerard Minuesa, Timothy Chou, Arthur Chow and Ly Vu. Their work appears in journals such as Cell Reports, Nature Communications, Blood, Nature Medicine and Precision Clinical Medicine.
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.