Raymond Pagliarini
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ 2
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 2
- Aging top 5%
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 3
- Mitochondrial Function and Pathology 2
- ATP Synthase and ATPases Research 2
- Epigenetics and DNA Methylation 2
- Oncology top 5%
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- Glioma Diagnosis and Treatment 3
- Co-authors
- Tian XuTatsushi IgakiWilliam R. SellersWenlin ShaoAlexandra GrassianAjay SrivastavaFranklin ChungNickolas Papadopoulos
- Cited by
- Cell BiologyCancer ResearchAging
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Raymond Pagliarini
19 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 725
- Cancer Research 525
- Aging 45
- Molecular Biology 1.6k
- Oncology 543
Countries citing papers authored by Raymond Pagliarini
This map shows the geographic impact of Raymond Pagliarini'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 Raymond Pagliarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Pagliarini more than expected).
Fields of papers citing papers by Raymond Pagliarini
This network shows the impact of papers produced by Raymond Pagliarini. 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 Raymond Pagliarini. The network helps show where Raymond Pagliarini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raymond Pagliarini, 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 | 2020 | 15 | |
| 3 | 2018 | 221 | |
| 4 | 2015 | 179 | |
| 5 | 2014 | 211 | |
| 6 | 2014 | 49 | |
| 7 | IDH1 Mutations Alter Citric Acid Cycle Metabolism and Increase Dependence on Oxidative Mitochondrial Metabolism | 2014 | 83 |
| 8 | 2014 | 12 | |
| 9 | 2014 | 42 | |
| 10 | 2014 | 46 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 49 | |
| 13 | 2013 | 64 | |
| 14 | 2012 | 83 | |
| 15 | 2010 | 133 | |
| 16 | 2009 | 230 | |
| 17 | 2007 | 170 | |
| 18 | 2006 | 300 | |
| 19 | 2003 | 436 | |
| 20 | 2003 | 11 |
About Raymond Pagliarini
Raymond Pagliarini is a scholar working on Cancer Research, Genetics and Cell Biology, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Glioma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (3 papers), Mitochondrial Function and Pathology (2 papers), ATP Synthase and ATPases Research (2 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Cell Biology (725 citations), Cancer Research (525 citations) and Aging (45 citations). Raymond Pagliarini has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Tian Xu, Tatsushi Igaki, William R. Sellers, Wenlin Shao, Alexandra Grassian, Ajay Srivastava, Franklin Chung, Nickolas Papadopoulos, Carlo Rago and Surojit Sur. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.