Daniela Seminara
- Oncology top 5%
- Genetics top 5%
- Molecular Biology
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- John P. A. IoannidisMuin J. KhouryJulian LittleJohn L. HopperAlfred J. SaahAndrew N. FreedmanPatricia HartgeGrier P. Page
- Topics
- BRCA gene mutations in cancer (12 papers)Genetic factors in colorectal cancer (8 papers)Cancer Genomics and Diagnostics (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJNCI Journal of the National Cancer InstituteAmerican Journal of Epidemiology
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniela Seminara
30 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Oncology 825
- Genetics 651
- Molecular Biology 604
- Cancer Research 474
- Pathology and Forensic Medicine 454
Countries citing papers authored by Daniela Seminara
This map shows the geographic impact of Daniela Seminara'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 Seminara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Seminara more than expected).
Fields of papers citing papers by Daniela Seminara
This network shows the impact of papers produced by Daniela Seminara. 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 Seminara. The network helps show where Daniela Seminara may publish in the future.
Co-authorship network of co-authors of Daniela Seminara
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Seminara. A scholar is included among the top collaborators of Daniela Seminara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Seminara. Daniela Seminara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | 203 | |
| 4 | 13 | |
| 5 | 33 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 41 | |
| 11 | 437 | |
| 12 | 23 | |
| 13 | 72 | |
| 14 | 31 | |
| 15 | 184 | |
| 16 | 205 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 136 | |
| 20 | 10 |
About Daniela Seminara
Daniela Seminara is a scholar working on Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (12 papers), Genetic factors in colorectal cancer (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (474 citations), Oncology (825 citations) and Pathology and Forensic Medicine (454 citations). Daniela Seminara has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include John P. A. Ioannidis, Muin J. Khoury, Julian Little, John L. Hopper, Alfred J. Saah, Andrew N. Freedman, Patricia Hartge, Grier P. Page, Mark I. McCarthy and Timothy R. Rebbeck. Their work appears in journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and American Journal of Epidemiology.
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.