Megan Cully
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Metabolism, Diabetes, and Cancer
- Extracellular vesicles in disease
Papers in
- Immunology 22
- Immune Cell Function and Interaction 7
- Co-authors
- Tak W. MakArnold J. LevineHan YouSally J. LeeversMary WuJohn R. GriffithsB GriffithsCláudio R. Santos
- Journals
- Nature Reviews Drug Discovery (86 papers)Nature Reviews Cardiology (13 papers)Nature Reviews Rheumatology (6 papers)Nature reviews. Cancer (3 papers)Nature (3 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Megan Cully
121 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 760
- Molecular Biology 2.2k
- Aging 48
- Biochemistry 161
- Immunology 402
Countries citing papers authored by Megan Cully
This map shows the geographic impact of Megan Cully'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 Megan Cully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Cully more than expected).
Fields of papers citing papers by Megan Cully
This network shows the impact of papers produced by Megan Cully. 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 Megan Cully. The network helps show where Megan Cully may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Megan Cully, 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 | 2021 | 2 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 10 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 37 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 32 | |
| 15 | 2014 | 6 | |
| 16 | 2011 | 1 | |
| 17 | 2008 | 58 | |
| 18 | SREBP Activity Is Regulated by mTORC1 and Contributes to Akt-Dependent Cell Growth Hit paper breakdown → | 2008 | 1101 |
| 19 | Beyond PTEN mutations: the PI3K pathway as an integrator of multiple inputs during tumorigenesis Hit paper breakdown → | 2006 | 984 |
| 20 | 2006 | 35 |
About Megan Cully
Megan Cully is a scholar working on Biological Psychiatry, Immunology, Applied Microbiology and Biotechnology, Oncology and Internal Medicine, having authored 128 papers that have together received 3.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Immune Cell Function and Interaction (7 papers), Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (6 papers), Atrial Fibrillation Management and Outcomes (6 papers), Cancer-related Molecular Pathways (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (760 citations), Molecular Biology (2.2k citations), Aging (48 citations), Biochemistry (161 citations) and Immunology (402 citations). Megan Cully has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Tak W. Mak, Arnold J. Levine, Han You, Sally J. Leevers, Mary Wu, John R. Griffiths, B Griffiths, Cláudio R. Santos, Yuen‐Li Chung and Almut Schulze. Their work appears in journals such as Nature Reviews Drug Discovery, Nature Reviews Cardiology, Nature Reviews Rheumatology, Nature reviews. Cancer and Nature.
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.