Mario Pende
Impact in
- Aging top 0.5%
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 29
- Muscle Physiology and Disorders 11
- Metabolism, Diabetes, and Cancer 9
-
- Neuroscience and Neuropharmacology Research 14
- Co-authors
- Sara C. Kozma (5 shared papers)Stefano Fumagalli (6 shared papers)Virginie Mieulet (5 shared papers)GEORGE V. THOMAS (1 shared paper)Hiroshi Shima (1 shared paper)John Blenis (3 shared papers)Athanassia Sotiropoulos (5 shared papers)George Thomas (4 shared papers)
- Journals
- Nature Communications (5 papers)Journal of Clinical Investigation (5 papers)The EMBO Journal (4 papers)Molecular and Cellular Biology (4 papers)Nature (3 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Mario Pende
89 papers receiving 12.2k citations
Mario Pende's Hit Papers
Peers
Comparison fields: 5 of 133
- Aging 261
- Epidemiology 3k
- Molecular Biology 4.7k
- Cell Biology 858
- Developmental Neuroscience 190
Countries citing papers authored by Mario Pende
This map shows the geographic impact of Mario Pende'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 Mario Pende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Pende more than expected).
Fields of papers citing papers by Mario Pende
This network shows the impact of papers produced by Mario Pende. 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 Mario Pende. The network helps show where Mario Pende may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Pende, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4680 |
| 2 | 2004 | 639 | |
| 3 | 1998 | 555 | |
| 4 | 2006 | 433 | |
| 5 | 2000 | 397 | |
| 6 | 2005 | 329 | |
| 7 | 2009 | 315 | |
| 8 | 2013 | 280 | |
| 9 | 2014 | 250 | |
| 10 | 2013 | 238 | |
| 11 | 2004 | 219 | |
| 12 | 2013 | 191 | |
| 13 | 1997 | 175 | |
| 14 | 2014 | 174 | |
| 15 | 2018 | 167 | |
| 16 | 2007 | 157 | |
| 17 | 2009 | 133 | |
| 18 | 2006 | 131 | |
| 19 | 2012 | 130 | |
| 20 | 2009 | 119 |
About Mario Pende
Mario Pende is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cancer Research and Epidemiology, having authored 91 papers that have together received 12.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (29 papers), Neuroscience and Neuropharmacology Research (14 papers), Autophagy in Disease and Therapy (11 papers), Muscle Physiology and Disorders (11 papers), Metabolism, Diabetes, and Cancer (9 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Pancreatic function and diabetes (6 papers) and Tuberous Sclerosis Complex Research (6 papers). The work is most often cited by research in Aging (261 citations), Epidemiology (3k citations), Molecular Biology (4.7k citations), Cell Biology (858 citations) and Developmental Neuroscience (190 citations). Mario Pende has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Sara C. Kozma, Stefano Fumagalli, Virginie Mieulet, GEORGE V. THOMAS, Hiroshi Shima, John Blenis, Athanassia Sotiropoulos, George Thomas, Nahum Sonenberg and Sung Hee Um. Their work appears in journals such as Nature Communications, Journal of Clinical Investigation, The EMBO Journal, Molecular and Cellular Biology and Nature.
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.