Gerta Hoxhaj
- Aging top 2%
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 3
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 6
- Metabolism, Diabetes, and Cancer 4
- Signaling Pathways in Disease 3
- Ubiquitin and proteasome pathways 2
- Physiology top 2%
- Tuberous Sclerosis Complex Research 2
- Cell Biology top 5%
- Cellular transport and secretion 3
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- Pancreatic function and diabetes 4
- Co-authors
- Brendan D. ManningIssam Ben‐SahraJohn M. AsaraStéphane J. H. RicoultGeorge TalbottAlexander J. ValvezanChristian C. DibbleLewis C. Cantley
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Gerta Hoxhaj
23 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 130
- Cancer Research 878
- Molecular Biology 2.7k
- Physiology 167
- Cell Biology 364
Countries citing papers authored by Gerta Hoxhaj
This map shows the geographic impact of Gerta Hoxhaj'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 Gerta Hoxhaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerta Hoxhaj more than expected).
Fields of papers citing papers by Gerta Hoxhaj
This network shows the impact of papers produced by Gerta Hoxhaj. 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 Gerta Hoxhaj. The network helps show where Gerta Hoxhaj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerta Hoxhaj, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 30 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 75 | |
| 8 | 2019 | 113 | |
| 9 | The PI3K–AKT network at the interface of oncogenic signalling and cancer metabolismbreakdown → | 2019 | 1395 |
| 10 | 2017 | 312 | |
| 11 | 2017 | 142 | |
| 12 | 2016 | 29 | |
| 13 | 2016 | 138 | |
| 14 | Spatial Control of the TSC Complex Integrates Insulin and Nutrient Regulation of mTORC1 at the Lysosomebreakdown → | 2014 | 613 |
| 15 | 2014 | 50 | |
| 16 | 2013 | 30 | |
| 17 | 2012 | 17 | |
| 18 | 2010 | 18 | |
| 19 | 2009 | 35 | |
| 20 | PCR Guru: An Ultimate Benchtop Reference for Molecular Biologists | 2008 | 1 |
About Gerta Hoxhaj
Gerta Hoxhaj is a scholar working on Aging, Physiology and Molecular Biology, having authored 24 papers that have together received 3.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cellular transport and secretion (3 papers), Signaling Pathways in Disease (3 papers), Tuberous Sclerosis Complex Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Aging (130 citations), Cancer Research (878 citations) and Molecular Biology (2.7k citations). Gerta Hoxhaj has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Brendan D. Manning, Issam Ben‐Sahra, John M. Asara, Stéphane J. H. Ricoult, George Talbott, Alexander J. Valvezan, Christian C. Dibble, Lewis C. Cantley, Hidenori Takahashi and Suchithra Menon. Their work appears in journals such as Nature, Science 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.