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
-
- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 9
- Ubiquitin and proteasome pathways 6
- PI3K/AKT/mTOR signaling in cancer 6
- Protein Degradation and Inhibitors 4
- Protein Kinase Regulation and GTPase Signaling 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)Т. А. Толкачева (1 shared paper)Heike Rebholz (1 shared paper)Simon Wigfield (1 shared paper)Nicholas R. Leslie (1 shared paper)C. Peter Downes (1 shared paper)Peter R. Shepherd (1 shared paper)
- Journals
- eLife (3 papers)Molecular Cell (2 papers)Cell Reports (2 papers)FEBS Letters (2 papers)Life Science Alliance (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Greg M. Findlay
29 papers receiving 2.0k citations
Greg M. Findlay's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.6k
- Aging 41
- Cell Biology 222
- Physiology 240
- Cancer Research 131
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 | 919 |
| 2 | 2004 | 312 | |
| 3 | 2007 | 197 | |
| 4 | 2010 | 97 | |
| 5 | 2013 | 66 | |
| 6 | 2006 | 58 | |
| 7 | 2013 | 54 | |
| 8 | 2004 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2020 | 34 | |
| 11 | 2018 | 29 | |
| 12 | 2014 | 29 | |
| 13 | 2021 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2017 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 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 Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (9 papers), Genetics and Neurodevelopmental Disorders (7 papers), Ubiquitin and proteasome pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Degradation and Inhibitors (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Aging (41 citations), Cell Biology (222 citations), Physiology (240 citations) and Cancer Research (131 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, Т. А. Толкачева, Heike Rebholz, Simon Wigfield, Nicholas R. Leslie, C. Peter Downes, Peter R. Shepherd, Ivan Gout and Lijun Yan. Their work appears in journals such as eLife, Molecular Cell, Cell Reports, FEBS Letters and Life Science Alliance.
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.