Alejo Efeyan
Impact in
- Aging top 0.5%
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 4
-
- Cancer Research and Treatments 5
- Co-authors
- David M. SabatiniRoberto ZoncuManuel SerranoWilliam C. CombLiron Bar‐PeledYasemin SancakShuyu WangJuana M. Flores
- Journals
- Nature (5 papers)Cell Reports (3 papers)Cell Cycle (3 papers)Cell Metabolism (2 papers)Nature Communications (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Alejo Efeyan
49 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Aging 429
- Physiology 500
- Molecular Biology 6.0k
- Cell Biology 1.3k
- Physiology 1.9k
Countries citing papers authored by Alejo Efeyan
This map shows the geographic impact of Alejo Efeyan'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 Alejo Efeyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejo Efeyan more than expected).
Fields of papers citing papers by Alejo Efeyan
This network shows the impact of papers produced by Alejo Efeyan. 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 Alejo Efeyan. The network helps show where Alejo Efeyan may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejo Efeyan, 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 | 17 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 45 | |
| 10 | 2017 | 24 | |
| 11 | 2012 | 332 | |
| 12 | Rag GTPase-mediated regulation of mTORC1 by nutrients is necessary for neonatal autophagy and survival | 2012 | 1 |
| 13 | 2012 | 355 | |
| 14 | mTORC1 Senses Lysosomal Amino Acids Through an Inside-Out Mechanism That Requires the Vacuolar H + -ATPase Hit paper breakdown → | 2011 | 1251 |
| 15 | mTORC1 Senses Lysosomal Amino Acids Through an Inside-Out Mechanism That Requires the Vacuolar H+-ATPase | 2011 | 20 |
| 16 | mTOR and cancer: many loops in one pathway | 2009 | 3 |
| 17 | 2007 | 105 | |
| 18 | 2006 | 27 | |
| 19 | 2004 | 106 | |
| 20 | 2004 | 10 |
About Alejo Efeyan
Alejo Efeyan is a scholar working on Aging, Biotechnology, Oncology, Molecular Biology and Cell Biology, having authored 49 papers that have together received 9.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (14 papers), Cancer-related Molecular Pathways (9 papers), Pancreatic function and diabetes (8 papers), Cancer Research and Treatments (5 papers), Immune Cell Function and Interaction (5 papers), Adipose Tissue and Metabolism (5 papers), Autophagy in Disease and Therapy (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Aging (429 citations), Physiology (500 citations), Molecular Biology (6.0k citations), Cell Biology (1.3k citations) and Physiology (1.9k citations). Alejo Efeyan has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include David M. Sabatini, Roberto Zoncu, Manuel Serrano, William C. Comb, Liron Bar‐Peled, Yasemin Sancak, Shuyu Wang, Juana M. Flores, Manuel Collado and Nerea Deleyto-Seldas. Their work appears in journals such as Nature, Cell Reports, Cell Cycle, Cell Metabolism and Nature Communications.
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.