Daniela Dick‐Necula

1.7k citations
4 papers · 76 · h-index 3

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

Daniela Dick‐Necula

4 papers receiving 75 citations

Peers

Daniela Dick‐Necula
Comparison fields: 5 of 26
  • Cancer Research 36
  • Oncology 38
  • Genetics 30
  • Pulmonary and Respiratory Medicine 34
  • Reproductive Medicine 7
Replace F Marmé with:
F Marmé Germany
Carolina Velázquez Spain
Eveline Niedermayr Australia
Katarína Petráková Czechia
Paula Rofes Spain
Samir Lal Australia
S. Peock United Kingdom
Youstina Hanna Canada
Emmanuel S. Antonarakis United States
Berry Button United States
Daniela Dick‐Necula relative to F Marmé Germany F Marmé's profile →
Citations per field
00.5×4.3×
F Marmé · 1×
Citations per year

Countries citing papers authored by Daniela Dick‐Necula

Since Specialization
Citations

This map shows the geographic impact of Daniela Dick‐Necula'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 Dick‐Necula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dick‐Necula more than expected).

Fields of papers citing papers by Daniela Dick‐Necula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Dick‐Necula. 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 Dick‐Necula. The network helps show where Daniela Dick‐Necula may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Dick‐Necula, 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 Dick‐Necula Line = papers co-authored together Daniela Dick‐Necula links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Daniela Dick‐Necula

Daniela Dick‐Necula is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 4 papers that have together received 76 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (1 paper), Reproductive Biology and Fertility (1 paper), Single-cell and spatial transcriptomics (1 paper), Breast Cancer Treatment Studies (1 paper), Urinary and Genital Oncology Studies (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (36 citations), Oncology (38 citations), Genetics (30 citations), Pulmonary and Respiratory Medicine (34 citations) and Reproductive Medicine (7 citations). Daniela Dick‐Necula has collaborated with scholars based in Israel. Frequent co-authors include Einav Nili Gal‐Yam, Maya Dadiani, Adi Zundelevich, Tal Sella, Efrat G. Saar, Eran Eyal, Iris Barshack, Bella Kaufman, Moran Gadot and Sarit Farage-Barhom. Their work appears in journals such as Reproductive BioMedicine Online, Breast Cancer Research, International Journal of Gynecology & Obstetrics and OncoImmunology.

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.

Explore authors with similar magnitude of impact