Daniela Seminara

11.8k citations
37 papers · 2.1k · h-index 18

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Screening and Detection
    • Cancer Genomics and Diagnostics

Papers in

    • BRCA gene mutations in cancer 13
    • Genetic Associations and Epidemiology 7
    • DNA Repair Mechanisms 3
    • Glycosylation and Glycoproteins Research 2

Daniela Seminara

35 papers receiving 2.1k citations

Peers

Daniela Seminara
Comparison fields: 5 of 105
  • Oncology 621
  • Cancer Research 309
  • Genetics 548
  • Pathology and Forensic Medicine 312
  • Virology 49
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Seminara

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Daniela Seminara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Seminara Line = papers co-authored together Daniela Seminara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007437
2 2007224
3 2004208
4 2014206
5 2005184
6 1993136
7 2006110
8 200673
9 199367
10 198857
11 199256
12
Cancer risk estimates for family members of a population-based family registry for breast and ovarian cancer.
200055
13 200843
14 201233
15 200631
16 201026
17 201623
18 200623
19 200615
20 201313

About Daniela Seminara

Daniela Seminara is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Oncology and Cancer Research, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (13 papers), Genetic Associations and Epidemiology (7 papers), Genetic factors in colorectal cancer (6 papers), Cancer Genomics and Diagnostics (5 papers), DNA Repair Mechanisms (3 papers), Global Cancer Incidence and Screening (3 papers), Glycosylation and Glycoproteins Research (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Oncology (621 citations), Cancer Research (309 citations), Genetics (548 citations), Pathology and Forensic Medicine (312 citations) and Virology (49 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, John L. Hopper, Julian Little, Andrew N. Freedman, Alfred J. Saah, W. Dana Flanders, Paolo Vineis, Julian P. T. Higgins and Graham A. Colditz. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, JNCI Journal of the National Cancer Institute, American Journal of Epidemiology, International Journal of Epidemiology and Breast Cancer 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.

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