Daniela Starcevic
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer
Papers in
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- Cancer Genomics and Diagnostics 4
- Carcinogens and Genotoxicity Assessment 1
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- Genetic factors in colorectal cancer 3
- Co-authors
- Joann Balazs Sweasy (8 shared papers)Shibani Dalal (6 shared papers)Tieming Lang (2 shared papers)Shuxia Li (1 shared paper)Daniel DiMaio (1 shared paper)Char‐Chang Lai (1 shared paper)Joachim Jaeger (3 shared papers)Kristin A. Eckert (1 shared paper)
- Journals
- Biochemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Daniela Starcevic
10 papers receiving 707 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 188
- Pathology and Forensic Medicine 141
- Molecular Biology 554
- Oncology 107
- Genetics 69
Countries citing papers authored by Daniela Starcevic
This map shows the geographic impact of Daniela Starcevic'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 Starcevic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Starcevic more than expected).
Fields of papers citing papers by Daniela Starcevic
This network shows the impact of papers produced by Daniela Starcevic. 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 Starcevic. The network helps show where Daniela Starcevic may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Starcevic, 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 | 2004 | 215 | |
| 2 | 2013 | 116 | |
| 3 | 2005 | 103 | |
| 4 | 2004 | 88 | |
| 5 | 2005 | 61 | |
| 6 | 2016 | 48 | |
| 7 | 2005 | 30 | |
| 8 | 2005 | 25 | |
| 9 | 2010 | 23 | |
| 10 | 2008 | 12 |
About Daniela Starcevic
Daniela Starcevic is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Dermatology and Immunology, having authored 10 papers that have together received 721 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), DNA and Nucleic Acid Chemistry (2 papers), CRISPR and Genetic Engineering (1 paper), Carcinogens and Genotoxicity Assessment (1 paper) and Psoriasis: Treatment and Pathogenesis (1 paper). The work is most often cited by research in Cancer Research (188 citations), Pathology and Forensic Medicine (141 citations), Molecular Biology (554 citations), Oncology (107 citations) and Genetics (69 citations). Daniela Starcevic has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Joann Balazs Sweasy, Shibani Dalal, Tieming Lang, Shuxia Li, Daniel DiMaio, Char‐Chang Lai, Joachim Jaeger, Kristin A. Eckert, Suzanne E. Hile and Sunil Bodapati. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Clinical Investigation and Cell Cycle.
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.