Kenneth Robzyk
Impact in
- Molecular Biology top 5%
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Heat shock proteins research
- Aging top 10%
Papers in
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- Fungal and yeast genetics research 7
- DNA Repair Mechanisms 4
- Heat shock proteins research 2
- Genomics and Chromatin Dynamics 2
- Ubiquitin and proteasome pathways 1
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- Microtubule and mitosis dynamics 2
- Co-authors
- Mary Ann Osley (1 shared paper)Judith Recht (1 shared paper)Yona Kassir (6 shared papers)Silvia Mandel (2 shared papers)Uri Nudel (1 shared paper)David Yaffe (1 shared paper)Ifat Rubin-Bejerano (1 shared paper)Neal Rosen (2 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Nature Communications (1 paper)Molecular and Cellular Endocrinology (1 paper)Nature (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Kenneth Robzyk
12 papers receiving 1.7k citations
Kenneth Robzyk's Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.5k
- Aging 26
- Cell Biology 205
- Oncology 252
- Epidemiology 227
Countries citing papers authored by Kenneth Robzyk
This map shows the geographic impact of Kenneth Robzyk'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 Kenneth Robzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Robzyk more than expected).
Fields of papers citing papers by Kenneth Robzyk
This network shows the impact of papers produced by Kenneth Robzyk. 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 Kenneth Robzyk. The network helps show where Kenneth Robzyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Robzyk, 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 | Rad6-Dependent Ubiquitination of Histone H2B in Yeast Hit paper breakdown → | 2000 | 550 |
| 2 | 2007 | 361 | |
| 3 | 1992 | 178 | |
| 4 | 2018 | 155 | |
| 5 | 1988 | 131 | |
| 6 | 1996 | 125 | |
| 7 | 1998 | 71 | |
| 8 | 2019 | 54 | |
| 9 | 1994 | 48 | |
| 10 | 1995 | 39 | |
| 11 | 1995 | 25 | |
| 12 | 2007 | 10 |
About Kenneth Robzyk
Kenneth Robzyk is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Biomedical Engineering and Surgery, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), DNA Repair Mechanisms (4 papers), Biofuel production and bioconversion (2 papers), Heat shock proteins research (2 papers), Microtubule and mitosis dynamics (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Genomics and Chromatin Dynamics (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Aging (26 citations), Cell Biology (205 citations), Oncology (252 citations) and Epidemiology (227 citations). Kenneth Robzyk has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Mary Ann Osley, Judith Recht, Yona Kassir, Silvia Mandel, Uri Nudel, David Yaffe, Ifat Rubin-Bejerano, Neal Rosen, Sara J. Felts and Len Neckers. Their work appears in journals such as Molecular and Cellular Biology, Nature Communications, Molecular and Cellular Endocrinology, Nature and Nucleic Acids 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.