Agostina Nardone

2.1k citations
25 papers · 440 · h-index 9

Impact in

Papers in

    • HER2/EGFR in Cancer Research 6
    • Cancer Cells and Metastasis 5
    • Epigenetics and DNA Methylation 3
    • Single-cell and spatial transcriptomics 2

Agostina Nardone

24 papers receiving 434 citations

Peers

Agostina Nardone
Comparison fields: 5 of 49
  • Oncology 194
  • Cancer Research 87
  • Hematology 49
  • Molecular Biology 264
  • Pulmonary and Respiratory Medicine 114
Replace Fernando J. López-Díaz with:
Fernando J. López-Díaz United States
Constance M. Cultraro United States
John P. Gustin United States
Elizabeth Blackwood United States
Alexey V. Bazarov United States
Vivek Kumar Mishra Germany
Silvia Licciulli Italy
Yulei Zhao China
Amanda Balboni Iniguez United States
Sara Mainardi Netherlands
Agostina Nardone relative to Fernando J. López-Díaz United States Fernando J. López-Díaz's profile →
Citations per field
00.5×1.5×2.0×
Fernando J. López-Díaz · 1×
Citations per year

Countries citing papers authored by Agostina Nardone

Since Specialization
Citations

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

Fields of papers citing papers by Agostina Nardone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agostina Nardone. 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 Agostina Nardone. The network helps show where Agostina Nardone may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014151
2 201591
3 201843
4 201235
5 201916
6 201915
7 201915
8 201010
9 20109
10 20188
11 20078
12 20187
13 20097
14 20235
15 20244
16 20243
17 20233
18 20252
19 20172
20 20212

About Agostina Nardone

Agostina Nardone is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 25 papers that have together received 440 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (8 papers), Cancer Genomics and Diagnostics (6 papers), HER2/EGFR in Cancer Research (6 papers), Estrogen and related hormone effects (6 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (3 papers), 3D Printing in Biomedical Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Oncology (194 citations), Cancer Research (87 citations), Hematology (49 citations), Molecular Biology (264 citations) and Pulmonary and Respiratory Medicine (114 citations). Agostina Nardone has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Rachel Schiff, C. Kent Osborne, Carmine De Angelis, Meghana V. Trivedi, Xiaoyong Fu, Martin J. Shea, Susan G. Hilsenbeck, Bianca Maria Veneziani, Sara Corvigno and Bert W. O’Malley. Their work appears in journals such as Cancer Research, npj Breast Cancer, British Journal of Cancer, Molecular Cancer Therapeutics and Cell 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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