Yaniv Kazansky
Impact in
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- Acute Myeloid Leukemia Research
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- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
- Chromatin Remodeling and Cancer
- Genomics and Chromatin Dynamics
Papers in
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 2
- Chromatin Remodeling and Cancer 2
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- Autophagy in Disease and Therapy 2
- Co-authors
- Alex Kentsis (4 shared papers)Danielle Wood (1 shared paper)David Fushman (2 shared papers)Raj Singh (2 shared papers)Anilkumar Gopalakrishnapillai (1 shared paper)Charlie Hatton (1 shared paper)Gerard M. McGeehan (1 shared paper)Florian Perner (1 shared paper)
- Journals
- Analytical Chemistry (1 paper)Blood (1 paper)Scientific Reports (1 paper)Acta Astronautica (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Yaniv Kazansky
7 papers receiving 151 citations
Peers
Comparison fields: 5 of 45
- Hematology 60
- Molecular Biology 104
- Space and Planetary Science 1
- Cancer Research 10
- Ecological Modeling 3
Countries citing papers authored by Yaniv Kazansky
This map shows the geographic impact of Yaniv Kazansky'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 Yaniv Kazansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaniv Kazansky more than expected).
Fields of papers citing papers by Yaniv Kazansky
This network shows the impact of papers produced by Yaniv Kazansky. 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 Yaniv Kazansky. The network helps show where Yaniv Kazansky may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaniv Kazansky, 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 | 2021 | 86 | |
| 2 | 2024 | 21 | |
| 3 | 2015 | 18 | |
| 4 | 2017 | 17 | |
| 5 | 2018 | 8 | |
| 6 | 2023 | 2 | |
| 7 | 2025 | 1 |
About Yaniv Kazansky
Yaniv Kazansky is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Ecological Modeling and Hematology, having authored 7 papers that have together received 153 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Autophagy in Disease and Therapy (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Chromatin Remodeling and Cancer (2 papers), Acute Myeloid Leukemia Research (1 paper), Malaria Research and Control (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Hematology (60 citations), Molecular Biology (104 citations), Space and Planetary Science (1 citation), Cancer Research (10 citations) and Ecological Modeling (3 citations). Yaniv Kazansky has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Alex Kentsis, Danielle Wood, David Fushman, Raj Singh, Anilkumar Gopalakrishnapillai, Charlie Hatton, Gerard M. McGeehan, Florian Perner, E. Anders Kolb and Scott A. Armstrong. Their work appears in journals such as Analytical Chemistry, Blood, Scientific Reports, Acta Astronautica and Cancer 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.