Jonathan Hurov
Impact in
- Aging top 5%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- FOXO transcription factor regulation 3
- RNA modifications and cancer 3
- Wnt/β-catenin signaling in development and cancer 2
- Biochemical and Molecular Research 2
-
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Helen Piwnica‐Worms (6 shared papers)Lynn S. White (4 shared papers)Terry Woodford‐Thomas (1 shared paper)Lewis C. Cantley (3 shared papers)Byron DeLaBarre (4 shared papers)Ekaterina Bobrovnikova-Marjon (1 shared paper)Stefan Größ (3 shared papers)Abhishek Jha (3 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Annual Review of Medicine (1 paper)Current Biology (1 paper)Cell (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesIrelandFrance
In The Last Decade
Jonathan Hurov
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Aging 57
- Cell Biology 340
- Cancer Research 256
- Biochemistry 94
- Molecular Biology 847
Countries citing papers authored by Jonathan Hurov
This map shows the geographic impact of Jonathan Hurov'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 Hurov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Hurov more than expected).
Fields of papers citing papers by Jonathan Hurov
This network shows the impact of papers produced by Jonathan Hurov. 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 Hurov. The network helps show where Jonathan Hurov may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Hurov, 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 | 2004 | 222 | |
| 2 | 2001 | 149 | |
| 3 | 2013 | 144 | |
| 4 | 2006 | 139 | |
| 5 | 2011 | 123 | |
| 6 | 2010 | 90 | |
| 7 | 2001 | 74 | |
| 8 | 2007 | 61 | |
| 9 | 2007 | 57 | |
| 10 | 2014 | 44 | |
| 11 | 2014 | 39 | |
| 12 | 2010 | 39 | |
| 13 | 2014 | 34 | |
| 14 | 2014 | 21 | |
| 15 | 2016 | 15 | |
| 16 | Metabolic transitions in rat jaw muscles during postnatal development. | 1992 | 7 |
| 17 | 2020 | 1 |
About Jonathan Hurov
Jonathan Hurov is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Aging, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (3 papers), FOXO transcription factor regulation (3 papers), RNA modifications and cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Aging (57 citations), Cell Biology (340 citations), Cancer Research (256 citations), Biochemistry (94 citations) and Molecular Biology (847 citations). Jonathan Hurov has collaborated with scholars based in United States, Ireland and France. Frequent co-authors include Helen Piwnica‐Worms, Lynn S. White, Terry Woodford‐Thomas, Lewis C. Cantley, Byron DeLaBarre, Ekaterina Bobrovnikova-Marjon, Stefan Größ, Abhishek Jha, Harald Schulze and Manav Korpal. Their work appears in journals such as Molecular and Cellular Biology, Annual Review of Medicine, Current Biology, Cell and Journal of Lipid Research.
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.