Greg M. Findlay
Impact in
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- Polyamine Metabolism and Applications
- Ubiquitin and proteasome pathways
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 9
- PI3K/AKT/mTOR signaling in cancer 6
- Ubiquitin and proteasome pathways 6
- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Genetics 7
- Genetics and Neurodevelopmental Disorders 7
- Co-authors
- Richard F. Lamb (6 shared papers)Laura Harrington (3 shared papers)Peter R. Shepherd (1 shared paper)Ivan Gout (1 shared paper)Т. А. Толкачева (1 shared paper)Heike Rebholz (1 shared paper)Alexander Gray (1 shared paper)Nicholas R. Leslie (1 shared paper)
- Journals
- eLife (3 papers)FEBS Letters (2 papers)Cell Reports (2 papers)Life Science Alliance (2 papers)Molecular Cell (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Greg M. Findlay
28 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.7k
- Aging 41
- Cell Biology 228
- Physiology 261
- Cancer Research 137
Countries citing papers authored by Greg M. Findlay
This map shows the geographic impact of Greg M. Findlay'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 Greg M. Findlay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg M. Findlay more than expected).
Fields of papers citing papers by Greg M. Findlay
This network shows the impact of papers produced by Greg M. Findlay. 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 Greg M. Findlay. The network helps show where Greg M. Findlay may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg M. Findlay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The TSC1-2 tumor suppressor controls insulin–PI3K signaling via regulation of IRS proteins Hit paper breakdown → | 2004 | 916 |
| 2 | 2004 | 313 | |
| 3 | 2007 | 195 | |
| 4 | 2010 | 95 | |
| 5 | 2013 | 65 | |
| 6 | 2006 | 58 | |
| 7 | 2013 | 54 | |
| 8 | 2004 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2020 | 33 | |
| 11 | 2014 | 29 | |
| 12 | 2018 | 29 | |
| 13 | 2021 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2017 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2022 | 6 |
About Greg M. Findlay
Greg M. Findlay is a scholar working on Molecular Biology, Genetics, Cell Biology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (9 papers), Genetics and Neurodevelopmental Disorders (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Aging (41 citations), Cell Biology (228 citations), Physiology (261 citations) and Cancer Research (137 citations). Greg M. Findlay has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Richard F. Lamb, Laura Harrington, Peter R. Shepherd, Ivan Gout, Т. А. Толкачева, Heike Rebholz, Alexander Gray, Nicholas R. Leslie, C. Peter Downes and Simon Wigfield. Their work appears in journals such as eLife, FEBS Letters, Cell Reports, Life Science Alliance and Molecular Cell.
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.