Barbara D’Andrea

400 citations
18 papers · 319 · h-index 9

Impact in

Papers in

    • RNA modifications and cancer 4
    • Wnt/β-catenin signaling in development and cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • RNA Research and Splicing 2
    • Breast Cancer Treatment Studies 4
    • Cancer Genomics and Diagnostics 2

Barbara D’Andrea

17 papers receiving 303 citations

Peers

Barbara D’Andrea
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 76
  • Dermatology 40
  • Cell Biology 56
  • Genetics 63
  • Molecular Biology 140
Replace Emmanouil Kanavakis with:
Emmanouil Kanavakis Greece
Elisabeth Steichen Austria
Jennifer E. Cowan United Kingdom
Anne Blomhoff Norway
Aizhen Zhao China
Sylvia Sura‐Trueba France
Cecilia Leyton Chile
H. U. Tietze Germany
Svetlana Pidasheva Canada
Jeffrey So Philippines
Barbara D’Andrea relative to Emmanouil Kanavakis Greece Emmanouil Kanavakis's profile →
Citations per field
00.5×4.2×
Emmanouil Kanavakis · 1×
Citations per year

Countries citing papers authored by Barbara D’Andrea

Since Specialization
Citations

This map shows the geographic impact of Barbara D’Andrea'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 Barbara D’Andrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara D’Andrea more than expected).

Fields of papers citing papers by Barbara D’Andrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara D’Andrea. 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 Barbara D’Andrea. The network helps show where Barbara D’Andrea may publish in the future.

Co-authors

The 25 scholars most cited alongside Barbara D’Andrea, 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 Barbara D’Andrea Line = papers co-authored together Barbara D’Andrea links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 197169
2 200865
3 200739
4 200433
5 200622
6 200520
7 200818
8 198116
9 201711
10 19808
11 20186
12 20175
13 20242
14 20172
15 20241
16 20251
17 20231
18 20240

About Barbara D’Andrea

Barbara D’Andrea is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 18 papers that have together received 319 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), RNA modifications and cancer (4 papers), Cancer Genomics and Diagnostics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (76 citations), Dermatology (40 citations), Cell Biology (56 citations), Genetics (63 citations) and Molecular Biology (140 citations). Barbara D’Andrea has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mariastella Zannini, Roberto Di Lauro, Lucio Nitsch, Andrea A. Pappalardo, Tiziana de Cristofaro, Anna Mascia, Tina Di Palma, T. S. Danowski, J Novák and Jong Tai Chun. Their work appears in journals such as Experimental Cell Research, Molecular Endocrinology, Breast Cancer Targets and Therapy, Journal of Molecular Endocrinology and International Journal of Genomics.

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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