Anna Bergamaschi

4.5k citations
42 papers · 2.7k · h-index 23

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

    • Gene expression and cancer classification 5
    • Epigenetics and DNA Methylation 4
    • 14-3-3 protein interactions 3
    • Pancreatic and Hepatic Oncology Research 5
    • Cytokine Signaling Pathways and Interactions 4
    • Cancer-related Molecular Pathways 4

Anna Bergamaschi

41 papers receiving 2.7k citations

Peers

Anna Bergamaschi
Comparison fields: 5 of 126
  • Virology 344
  • Cancer Research 595
  • Immunology 452
  • Oncology 545
  • Statistics and Probability 147
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Citations per field
00.5×1.6×
Erich Huang · 1×
Citations per year

Countries citing papers authored by Anna Bergamaschi

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bergamaschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006370
2 2007298
3 2009237
4 2010177
5 2010169
6 2011162
7 2020120
8 2009102
9 2014102
10 2002100
11 201199
12 200986
13 201080
14 201170
15 200958
16 200957
17 200456
18 201448
19 200844
20 201436

About Anna Bergamaschi

Anna Bergamaschi is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 42 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Gene expression and cancer classification (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), HIV Research and Treatment (5 papers), Epigenetics and DNA Methylation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer-related Molecular Pathways (4 papers) and 14-3-3 protein interactions (3 papers). The work is most often cited by research in Virology (344 citations), Cancer Research (595 citations), Immunology (452 citations), Oncology (545 citations) and Statistics and Probability (147 citations). Anna Bergamaschi has collaborated with scholars based in United States, Italy and Norway. Frequent co-authors include Benita S. Katzenellenbogen, Jonathan R. Pollack, Pei Wang, Gianfranco Pancino, Thérese Sørlie, Wonshik Han, Dong‐Young Noh, Annie David, Jie Peng and Per Eystein Lønning. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Breast Cancer Research, Oncogene and Molecular Oncology.

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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