Don Benjamin
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- PI3K/AKT/mTOR signaling in cancer 7
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Metabolism, Diabetes, and Cancer 2
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Michael N. Hall (10 shared papers)Christoph Moroni (7 shared papers)Marco Colombi (5 shared papers)Timm Maier (1 shared paper)Mahmoud El‐Shemerly (2 shared papers)Heidi A. Lane (2 shared papers)Sravanth Kumar Hindupur (2 shared papers)Jens Pohlmann (1 shared paper)
- Journals
- Cell (2 papers)Cell Reports (2 papers)The Journal of Pathology (1 paper)Science Advances (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Don Benjamin
17 papers receiving 1.9k citations
Don Benjamin's Hit Papers
Peers
Comparison fields: 5 of 77
- Cancer Research 190
- Aging 19
- Molecular Biology 646
- Immunology 52
- Epidemiology 91
Countries citing papers authored by Don Benjamin
This map shows the geographic impact of Don Benjamin'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 Don Benjamin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Benjamin more than expected).
Fields of papers citing papers by Don Benjamin
This network shows the impact of papers produced by Don Benjamin. 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 Don Benjamin. The network helps show where Don Benjamin may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Benjamin, 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 | Rapamycin passes the torch: a new generation of mTOR inhibitors Hit paper breakdown → | 2011 | 846 |
| 2 | 2018 | 328 | |
| 3 | mTOR substrate phosphorylation in growth control Hit paper breakdown → | 2022 | 319 |
| 4 | 2006 | 78 | |
| 5 | 2016 | 73 | |
| 6 | 2001 | 61 | |
| 7 | 2007 | 54 | |
| 8 | 2010 | 39 | |
| 9 | 2000 | 29 | |
| 10 | 2014 | 23 | |
| 11 | 1999 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2006 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 4 |
About Don Benjamin
Don Benjamin is a scholar working on Molecular Biology, Cancer Research, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), RNA Research and Splicing (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Cancer Research (190 citations), Aging (19 citations), Molecular Biology (646 citations), Immunology (52 citations) and Epidemiology (91 citations). Don Benjamin has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Michael N. Hall, Christoph Moroni, Marco Colombi, Timm Maier, Mahmoud El‐Shemerly, Heidi A. Lane, Sravanth Kumar Hindupur, Jens Pohlmann, Sauveur-Michel Maira and Dimitri Robay. Their work appears in journals such as Cell, Cell Reports, The Journal of Pathology, Science Advances and Frontiers in Oncology.
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.