Meagan Munro
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Oncology 3
- PARP inhibition in cancer therapy 2
- Co-authors
- Daniel Durocher (8 shared papers)Alexandre Orthwein (2 shared papers)Jordan T.F. Young (2 shared papers)Jan Tkáč (2 shared papers)Cristina Escribano‐Diaz (2 shared papers)Dongyi Xu (1 shared paper)Marella D. Canny (1 shared paper)Amélie Fradet‐Turcotte (1 shared paper)
- Journals
- Molecular Cell (5 papers)Life Science Alliance (1 paper)Nature (1 paper)EMBO Reports (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Meagan Munro
8 papers receiving 1.4k citations
Meagan Munro's Hit Papers
Peers
Comparison fields: 5 of 65
- Oncology 574
- Molecular Biology 1.3k
- Cancer Research 162
- Aging 18
- Cell Biology 126
Countries citing papers authored by Meagan Munro
This map shows the geographic impact of Meagan Munro'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 Munro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meagan Munro more than expected).
Fields of papers citing papers by Meagan Munro
This network shows the impact of papers produced by Meagan Munro. 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 Munro. The network helps show where Meagan Munro may publish in the future.
Co-authors
The 25 scholars most cited alongside Meagan Munro, 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 | A Cell Cycle-Dependent Regulatory Circuit Composed of 53BP1-RIF1 and BRCA1-CtIP Controls DNA Repair Pathway Choice Hit paper breakdown → | 2013 | 690 |
| 2 | 2010 | 297 | |
| 3 | 2012 | 165 | |
| 4 | 2016 | 117 | |
| 5 | 2019 | 87 | |
| 6 | 2020 | 16 | |
| 7 | 2023 | 12 | |
| 8 | 2012 | 4 |
About Meagan Munro
Meagan Munro is a scholar working on Molecular Biology, Oncology, Genetics, Neurology and Cell Biology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Ubiquitin and proteasome pathways (3 papers), PARP inhibition in cancer therapy (2 papers), Protein Degradation and Inhibitors (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Oncology (574 citations), Molecular Biology (1.3k citations), Cancer Research (162 citations), Aging (18 citations) and Cell Biology (126 citations). Meagan Munro has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Daniel Durocher, Alexandre Orthwein, Jordan T.F. Young, Jan Tkáč, Cristina Escribano‐Diaz, Dongyi Xu, Marella D. Canny, Amélie Fradet‐Turcotte, Mengtan Xing and Michael A. Cook. Their work appears in journals such as Molecular Cell, Life Science Alliance, Nature and EMBO Reports.
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.