George C. Talbott
Impact in
- Aging top 10%
- Physiology top 5%
- Tuberous Sclerosis Complex Research
Papers in
-
- Immunotherapy and Immune Responses 2
-
- Sirtuins and Resveratrol in Medicine 2
- Co-authors
- Brendan D. Manning (2 shared papers)Gerta Hoxhaj (2 shared papers)Lewis C. Cantley (1 shared paper)Hidenori Takahashi (1 shared paper)Suchithra Menon (1 shared paper)Alexander J. Valvezan (1 shared paper)Christian C. Dibble (1 shared paper)Marc Turner (1 shared paper)
- Journals
- Vaccine (2 papers)International Journal of Molecular Sciences (2 papers)Disease Models & Mechanisms (1 paper)The FASEB Journal (1 paper)Cell (1 paper)
- Partner nations
- United States
In The Last Decade
George C. Talbott
16 papers receiving 1.2k citations
George C. Talbott's Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 38
- Physiology 71
- Molecular Biology 780
- Cell Biology 185
- Geriatrics and Gerontology 30
Countries citing papers authored by George C. Talbott
This map shows the geographic impact of George C. Talbott'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 George C. Talbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George C. Talbott more than expected).
Fields of papers citing papers by George C. Talbott
This network shows the impact of papers produced by George C. Talbott. 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 George C. Talbott. The network helps show where George C. Talbott may publish in the future.
Co-authors
The 25 scholars most cited alongside George C. Talbott, 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 | Spatial Control of the TSC Complex Integrates Insulin and Nutrient Regulation of mTORC1 at the Lysosome Hit paper breakdown → | 2014 | 645 |
| 2 | 2017 | 345 | |
| 3 | 2014 | 70 | |
| 4 | 2022 | 29 | |
| 5 | 2019 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2017 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2017 | 0 |
About George C. Talbott
George C. Talbott is a scholar working on Immunology, Geriatrics and Gerontology, Pulmonary and Respiratory Medicine, Molecular Biology and Physiology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related Molecular Pathways (2 papers), Adipose Tissue and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). The work is most often cited by research in Aging (38 citations), Physiology (71 citations), Molecular Biology (780 citations), Cell Biology (185 citations) and Geriatrics and Gerontology (30 citations). George C. Talbott has collaborated with scholars based in United States. Frequent co-authors include Brendan D. Manning, Gerta Hoxhaj, Lewis C. Cantley, Hidenori Takahashi, Suchithra Menon, Alexander J. Valvezan, Christian C. Dibble, Marc Turner, Alan Saghatelian and Reuben J. Shaw. Their work appears in journals such as Vaccine, International Journal of Molecular Sciences, Disease Models & Mechanisms, The FASEB Journal and 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.