Shannon McLaughlan
Impact in
- Aging top 10%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 2
- Metabolism, Diabetes, and Cancer 2
- Heat shock proteins research 1
- Co-authors
- Ivan Topisirović (6 shared papers)Ola Segnestam Larsson (5 shared papers)Valentina Gandin (5 shared papers)Masahiro Morita (4 shared papers)Tommy Alain (4 shared papers)Nahum Sonenberg (2 shared papers)Meztli Arguello (1 shared paper)Daina Zofija Avizonis (1 shared paper)
- Journals
- Cell Metabolism (2 papers)Journal of Visualized Experiments (2 papers)Nature Communications (1 paper)Nature Medicine (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- CanadaSwedenUnited Kingdom
In The Last Decade
Shannon McLaughlan
9 papers receiving 1.2k citations
Shannon McLaughlan's Hit Papers
Peers
Comparison fields: 5 of 88
- Aging 32
- Cancer Research 209
- Molecular Biology 892
- Geriatrics and Gerontology 30
- Cell Biology 108
Countries citing papers authored by Shannon McLaughlan
This map shows the geographic impact of Shannon McLaughlan'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 Shannon McLaughlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon McLaughlan more than expected).
Fields of papers citing papers by Shannon McLaughlan
This network shows the impact of papers produced by Shannon McLaughlan. 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 Shannon McLaughlan. The network helps show where Shannon McLaughlan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shannon McLaughlan, 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 | mTORC1 Controls Mitochondrial Activity and Biogenesis through 4E-BP-Dependent Translational Regulation Hit paper breakdown → | 2013 | 676 |
| 2 | 2014 | 154 | |
| 3 | 2016 | 83 | |
| 4 | 2018 | 67 | |
| 5 | 2021 | 59 | |
| 6 | 2013 | 56 | |
| 7 | 2019 | 56 | |
| 8 | 2014 | 50 | |
| 9 | 2010 | 16 |
About Shannon McLaughlan
Shannon McLaughlan is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Psychiatry and Mental health, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Peptidase Inhibition and Analysis (2 papers), Autophagy in Disease and Therapy (1 paper), Cancer Mechanisms and Therapy (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Aging (32 citations), Cancer Research (209 citations), Molecular Biology (892 citations), Geriatrics and Gerontology (30 citations) and Cell Biology (108 citations). Shannon McLaughlan has collaborated with scholars based in Canada, Sweden and United Kingdom. Frequent co-authors include Ivan Topisirović, Ola Segnestam Larsson, Valentina Gandin, Masahiro Morita, Tommy Alain, Nahum Sonenberg, Meztli Arguello, Daina Zofija Avizonis, Michaël Pollak and Liang Zheng. Their work appears in journals such as Cell Metabolism, Journal of Visualized Experiments, Nature Communications, Nature Medicine and Molecular and Cellular Biology.
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.