Daniel B. Grabarczyk
Impact in
-
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
Papers in
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- DNA Repair Mechanisms 4
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Ben C. Berks (3 shared papers)Caroline Kisker (2 shared papers)Susan M. Lea (2 shared papers)Steven Johnson (2 shared papers)Kylie A. Vincent (2 shared papers)Alicja Winczura (1 shared paper)Giacomo De Piccoli (1 shared paper)Philip A. Ash (2 shared papers)
- Journals
- Nature Communications (3 papers)Science (2 papers)Nucleic Acids Research (2 papers)Journal of the American Chemical Society (1 paper)Dalton Transactions (1 paper)
- Partner nations
- United KingdomGermanyAustria
In The Last Decade
Daniel B. Grabarczyk
15 papers receiving 263 citations
Peers
Comparison fields: 5 of 72
- Environmental Chemistry 37
- Molecular Biology 182
- Biochemistry 10
- Cell Biology 22
- Ecology 29
Countries citing papers authored by Daniel B. Grabarczyk
This map shows the geographic impact of Daniel B. Grabarczyk'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 Daniel B. Grabarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Grabarczyk more than expected).
Fields of papers citing papers by Daniel B. Grabarczyk
This network shows the impact of papers produced by Daniel B. Grabarczyk. 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 Daniel B. Grabarczyk. The network helps show where Daniel B. Grabarczyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. Grabarczyk, 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 | 2017 | 47 | |
| 2 | 2017 | 36 | |
| 3 | 2023 | 35 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 32 | |
| 6 | 2015 | 23 | |
| 7 | 2015 | 20 | |
| 8 | 2014 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 |
About Daniel B. Grabarczyk
Daniel B. Grabarczyk is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry, having authored 15 papers that have together received 263 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), RNA modifications and cancer (4 papers), Metalloenzymes and iron-sulfur proteins (3 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (3 papers), Autophagy in Disease and Therapy (3 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). The work is most often cited by research in Environmental Chemistry (37 citations), Molecular Biology (182 citations), Biochemistry (10 citations), Cell Biology (22 citations) and Ecology (29 citations). Daniel B. Grabarczyk has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Ben C. Berks, Caroline Kisker, Susan M. Lea, Steven Johnson, Kylie A. Vincent, Alicja Winczura, Giacomo De Piccoli, Philip A. Ash, Florian Sauer and Jean‐Marc Egly. Their work appears in journals such as Nature Communications, Science, Nucleic Acids Research, Journal of the American Chemical Society and Dalton Transactions.
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.