Davide G. Berta

518 citations
6 papers · 216 · h-index 4

Impact in

    • Multiple Myeloma Research and Treatments
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Ubiquitin and proteasome pathways

Papers in

    • Genomics and Chromatin Dynamics 3
    • DNA Repair Mechanisms 3
    • Epigenetics and DNA Methylation 1
    • DNA and Nucleic Acid Chemistry 1
    • Chemokine receptors and signaling 2
    • Cytokine Signaling Pathways and Interactions 1

Davide G. Berta

6 papers receiving 216 citations

Peers

Davide G. Berta
Comparison fields: 5 of 37
  • Hematology 48
  • Molecular Biology 166
  • Oncology 39
  • Cell Biology 24
  • Aging 2
Replace Mary Miyaji‐Yamaguchi with:
Mary Miyaji‐Yamaguchi Japan
Xinghui Zhao China
Magdalena Medrzycki United States
Nadine Obier United Kingdom
Sabine Jurado Australia
Alison E. Meyer United States
Diana R. Dou United States
Christian Umkehrer Austria
Julia Herglotz Germany
Jan M. Pawlicki United States
Davide G. Berta relative to Mary Miyaji‐Yamaguchi Japan Mary Miyaji‐Yamaguchi's profile →
Citations per field
00.5×4.5×
Mary Miyaji‐Yamaguchi · 1×
Citations per year

Countries citing papers authored by Davide G. Berta

Since Specialization
Citations

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

Fields of papers citing papers by Davide G. Berta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide G. Berta. 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 Davide G. Berta. The network helps show where Davide G. Berta may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201371
2 201567
3 201452
4 202422
5 20213
6 20151

About Davide G. Berta

Davide G. Berta is a scholar working on Molecular Biology, Oncology, Hematology, Small Animals and Cell Biology, having authored 6 papers that have together received 216 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (3 papers), Chemokine receptors and signaling (2 papers), Multiple Myeloma Research and Treatments (2 papers), Epigenetics and DNA Methylation (1 paper), Infectious Diseases and Mycology (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Hematology (48 citations), Molecular Biology (166 citations), Oncology (39 citations), Cell Biology (24 citations) and Aging (2 citations). Davide G. Berta has collaborated with scholars based in Sweden, Italy and Japan. Frequent co-authors include Takaharu Kanno, Camilla Sjögren, Maurizio Chiriva‐Internati, M. Colombo, Everardo Cobos, Natalia Platonova, Gaetano Bulfamante, Katsuhiko Shirahige, Leonardo Mirandola and Kristian Jeppsson. Their work appears in journals such as Molecular Cell, Cell Reports, PLoS Genetics, Journal of Medical Genetics and Leukemia.

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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