Daniela Gunz
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Molecular Biology top 10%
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Cancer therapeutics and mechanisms
- Advanced biosensing and bioanalysis techniques
Papers in
-
- DNA and Nucleic Acid Chemistry 6
- DNA Repair Mechanisms 5
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 2
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- Carcinogens and Genotoxicity Assessment 2
- Co-authors
- Hanspeter Naegeli (4 shared papers)Martin Heß (2 shared papers)Richard D. Wood (3 shared papers)Angelos Constantinou (2 shared papers)Nicholas E. Geacintov (2 shared papers)Philip H. Bolton (1 shared paper)Matthias Höss (1 shared paper)Arne Klungland (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Biochemical Pharmacology (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Molecular Cell (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Daniela Gunz
11 papers receiving 807 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 277
- Molecular Biology 726
- Oncology 95
- Genetics 80
- Aging 4
Countries citing papers authored by Daniela Gunz
This map shows the geographic impact of Daniela Gunz'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 Daniela Gunz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gunz more than expected).
Fields of papers citing papers by Daniela Gunz
This network shows the impact of papers produced by Daniela Gunz. 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 Daniela Gunz. The network helps show where Daniela Gunz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gunz, 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 | 1999 | 245 | |
| 2 | 1996 | 170 | |
| 3 | 1997 | 122 | |
| 4 | 1999 | 93 | |
| 5 | 2000 | 55 | |
| 6 | 1993 | 39 | |
| 7 | 2022 | 31 | |
| 8 | 1995 | 25 | |
| 9 | 2002 | 23 | |
| 10 | 1996 | 19 | |
| 11 | 1996 | 4 |
About Daniela Gunz
Daniela Gunz is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pharmacology and General Health Professions, having authored 11 papers that have together received 826 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (6 papers), DNA Repair Mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), CRISPR and Genetic Engineering (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cancer Research (277 citations), Molecular Biology (726 citations), Oncology (95 citations), Genetics (80 citations) and Aging (4 citations). Daniela Gunz has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Hanspeter Naegeli, Martin Heß, Richard D. Wood, Angelos Constantinou, Nicholas E. Geacintov, Philip H. Bolton, Matthias Höss, Arne Klungland, Tomas Lindahl and Stuart G. Clarkson. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Pharmacology, Cold Spring Harbor Symposia on Quantitative Biology, Molecular Cell 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.