Jonathan Nowak
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
Papers in
- Oncology 5
- Cancer-related Molecular Pathways 3
- Pancreatic and Hepatic Oncology Research 2
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- T-cell and B-cell Immunology 3
- Co-authors
- Juan Iovanna (9 shared papers)Guillermo Velasco (2 shared papers)Stéphane Garcia (2 shared papers)Cendrine Archange (3 shared papers)Jean–Charles Dagorn (4 shared papers)Sonia Hernández‐Tiedra (1 shared paper)Francesco Cecconi (1 shared paper)Mauro Piacentini (1 shared paper)
- Journals
- Cytogenetic and Genome Research (3 papers)Journal of Clinical Investigation (1 paper)PLoS Biology (1 paper)Immunity (1 paper)Communications Biology (1 paper)
- Partner nations
- FranceUnited StatesArgentina
In The Last Decade
Jonathan Nowak
16 papers receiving 1.8k citations
Jonathan Nowak's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 425
- Pharmacology 247
- Epidemiology 420
- Immunology 233
- Oncology 209
Countries citing papers authored by Jonathan Nowak
This map shows the geographic impact of Jonathan Nowak'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 Jonathan Nowak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Nowak more than expected).
Fields of papers citing papers by Jonathan Nowak
This network shows the impact of papers produced by Jonathan Nowak. 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 Jonathan Nowak. The network helps show where Jonathan Nowak may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Nowak, 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 | Cannabinoid action induces autophagy-mediated cell death through stimulation of ER stress in human glioma cells Hit paper breakdown → | 2009 | 613 |
| 2 | 2007 | 477 | |
| 3 | 2007 | 193 | |
| 4 | 2005 | 122 | |
| 5 | 2013 | 114 | |
| 6 | 2008 | 107 | |
| 7 | 2017 | 91 | |
| 8 | 2013 | 61 | |
| 9 | 2008 | 30 | |
| 10 | 2011 | 17 | |
| 11 | 2002 | 16 | |
| 12 | 2009 | 16 | |
| 13 | 2021 | 14 | |
| 14 | 2004 | 7 | |
| 15 | 2002 | 3 | |
| 16 | Radiotheranostic approach for targeting LDLR in glioblastoma | 2019 | 1 |
About Jonathan Nowak
Jonathan Nowak is a scholar working on Oncology, Immunology, Epidemiology, Genetics and Developmental Neuroscience, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer-related Molecular Pathways (3 papers), T-cell and B-cell Immunology (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (425 citations), Pharmacology (247 citations), Epidemiology (420 citations), Immunology (233 citations) and Oncology (209 citations). Jonathan Nowak has collaborated with scholars based in France, United States and Argentina. Frequent co-authors include Juan Iovanna, Guillermo Velasco, Stéphane Garcia, Cendrine Archange, Jean–Charles Dagorn, Sonia Hernández‐Tiedra, Francesco Cecconi, Mauro Piacentini, Íñigo J. Salanueva and Patricia Vázquez. Their work appears in journals such as Cytogenetic and Genome Research, Journal of Clinical Investigation, PLoS Biology, Immunity and Communications Biology.
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.