Pablo E. Hollstein
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Melanoma and MAPK Pathways
- Metabolism, Diabetes, and Cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Metabolism, Diabetes, and Cancer 4
- Histone Deacetylase Inhibitors Research 2
-
- Neurofibromatosis and Schwannoma Cases 2
- Co-authors
- Karen Cichowski (3 shared papers)Bryan W. Johnson (2 shared papers)Stéphanie Courtois-Cox (1 shared paper)Mia MacCollin (1 shared paper)Elizabeth E. Reczek (1 shared paper)Sybil M. Genther Williams (1 shared paper)Cory M. Johannessen (1 shared paper)Reuben J. Shaw (6 shared papers)
- Journals
- Cancer Discovery (4 papers)Cancer Cell (2 papers)Science (2 papers)Diabetes (2 papers)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Pablo E. Hollstein
14 papers receiving 1.6k citations
Pablo E. Hollstein's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 29
- Molecular Biology 1.0k
- Cancer Research 164
- Oncology 287
- Physiology 262
Countries citing papers authored by Pablo E. Hollstein
This map shows the geographic impact of Pablo E. Hollstein'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 Pablo E. Hollstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo E. Hollstein more than expected).
Fields of papers citing papers by Pablo E. Hollstein
This network shows the impact of papers produced by Pablo E. Hollstein. 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 Pablo E. Hollstein. The network helps show where Pablo E. Hollstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo E. Hollstein, 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 | 2006 | 421 | |
| 2 | 2004 | 233 | |
| 3 | 2012 | 206 | |
| 4 | Induction of lysosomal and mitochondrial biogenesis by AMPK phosphorylation of FNIP1 Hit paper breakdown → | 2023 | 165 |
| 5 | 2015 | 153 | |
| 6 | 2009 | 121 | |
| 7 | 2019 | 111 | |
| 8 | 2002 | 91 | |
| 9 | 2004 | 66 | |
| 10 | 2013 | 44 | |
| 11 | 2023 | 26 | |
| 12 | 2018 | 12 | |
| 13 | 2018 | 8 | |
| 14 | Common non-coding SNPs near the Hepatocyte Nuclear Factor-4 Alpha gene are associated with type 2 diabetes | 2003 | 2 |
About Pablo E. Hollstein
Pablo E. Hollstein is a scholar working on Molecular Biology, Neurology, Genetics, Surgery and Cell Biology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), Genetic Associations and Epidemiology (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Aging (29 citations), Molecular Biology (1.0k citations), Cancer Research (164 citations), Oncology (287 citations) and Physiology (262 citations). Pablo E. Hollstein has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Karen Cichowski, Bryan W. Johnson, Stéphanie Courtois-Cox, Mia MacCollin, Elizabeth E. Reczek, Sybil M. Genther Williams, Cory M. Johannessen, Reuben J. Shaw, Martin McMahon and Richard Marais. Their work appears in journals such as Cancer Discovery, Cancer Cell, Science, Diabetes and The American Journal of Human Genetics.
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.