Peter Deraska
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- DNA Repair Mechanisms
- Circular RNAs in diseases
- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
Papers in
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- DNA Repair Mechanisms 6
- Ubiquitin and proteasome pathways 2
- Advanced biosensing and bioanalysis techniques 1
- FOXO transcription factor regulation 1
- Oncology 3
- PARP inhibition in cancer therapy 2
- Co-authors
- Alan D. D’Andrea (7 shared papers)David Kozono (7 shared papers)Colin O’Leary (4 shared papers)Dipanjan Chowdhury (2 shared papers)Wojciech Fendler (1 shared paper)Sanket S. Acharya (1 shared paper)Justyna Chałubińska‐Fendler (1 shared paper)Junwei Shi (1 shared paper)
- Journals
- Cancer Research (2 papers)Cell Death Discovery (1 paper)Cancer Biology & Therapy (1 paper)Journal of Pain (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Peter Deraska
9 papers receiving 400 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 109
- Molecular Biology 329
- Oncology 129
- Infectious Diseases 44
- Aging 3
Countries citing papers authored by Peter Deraska
This map shows the geographic impact of Peter Deraska'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 Peter Deraska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Deraska more than expected).
Fields of papers citing papers by Peter Deraska
This network shows the impact of papers produced by Peter Deraska. 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 Peter Deraska. The network helps show where Peter Deraska may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Deraska, 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 | 108 | |
| 2 | 2016 | 103 | |
| 3 | 2021 | 62 | |
| 4 | 2020 | 36 | |
| 5 | 2015 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2016 | 19 | |
| 8 | 2018 | 17 | |
| 9 | 2014 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2015 | 0 |
About Peter Deraska
Peter Deraska is a scholar working on Molecular Biology, Oncology, Surgery, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 11 papers that have together received 405 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Anesthesia and Pain Management (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), PARP inhibition in cancer therapy (2 papers), Ubiquitin and proteasome pathways (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Cancer Research (109 citations), Molecular Biology (329 citations), Oncology (129 citations), Infectious Diseases (44 citations) and Aging (3 citations). Peter Deraska has collaborated with scholars based in United States and Poland. Frequent co-authors include Alan D. D’Andrea, David Kozono, Colin O’Leary, Dipanjan Chowdhury, Wojciech Fendler, Sanket S. Acharya, Justyna Chałubińska‐Fendler, Junwei Shi, Yiwen Li and Eri Arai. Their work appears in journals such as Cancer Research, Cell Death Discovery, Cancer Biology & Therapy, Journal of Pain and Nature Cell 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.