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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- DNA Repair Mechanisms 7
- DNA and Nucleic Acid Chemistry 2
- Genomics and Chromatin Dynamics 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Joann B. Sweasy (8 shared papers)Shibani Dalal (6 shared papers)Tieming Lang (2 shared papers)Shuxia Li (1 shared paper)Char‐Chang Lai (1 shared paper)Daniel DiMaio (1 shared paper)Joachim Jaeger (3 shared papers)Suzanne E. Hile (1 shared paper)
- Journals
- Biochemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical Cancer Research (1 paper)Journal of Clinical Investigation (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Daniela Starcevic
10 papers receiving 682 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 194
- Pathology and Forensic Medicine 156
- Molecular Biology 549
- Oncology 111
- Genetics 62
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 | 202 | |
| 2 | 2013 | 102 | |
| 3 | 2005 | 102 | |
| 4 | 2004 | 87 | |
| 5 | 2005 | 60 | |
| 6 | 2016 | 49 | |
| 7 | 2005 | 28 | |
| 8 | 2005 | 24 | |
| 9 | 2010 | 22 | |
| 10 | 2008 | 11 |
About Daniela Starcevic
Daniela Starcevic is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Dermatology and Oncology, having authored 10 papers that have together received 687 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), DNA and Nucleic Acid Chemistry (2 papers), Genomics and Chromatin Dynamics (2 papers), Psoriasis: Treatment and Pathogenesis (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (194 citations), Pathology and Forensic Medicine (156 citations), Molecular Biology (549 citations), Oncology (111 citations) and Genetics (62 citations). Daniela Starcevic has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Joann B. Sweasy, Shibani Dalal, Tieming Lang, Shuxia Li, Char‐Chang Lai, Daniel DiMaio, Joachim Jaeger, Suzanne E. Hile, Kristin A. Eckert and Joon‐Kee Yoon. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Clinical Cancer Research, 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.