Giulia Saredi

755 citations
5 papers · 546 · h-index 5

Impact in

    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • PARP inhibition in cancer therapy

Papers in

    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 1
    • Protein Degradation and Inhibitors 1
    • RNA modifications and cancer 1
    • CRISPR and Genetic Engineering 1
    • PARP inhibition in cancer therapy 2

Giulia Saredi

5 papers receiving 544 citations

Peers

Giulia Saredi
Comparison fields: 5 of 44
  • Molecular Biology 516
  • Oncology 102
  • Cell Biology 38
  • Aging 4
  • Cancer Research 26
Replace Anahita Lashgari with:
Anahita Lashgari Canada
Huy Nguyen United States
Subhash Pokharel United States
Angela Helfricht Netherlands
Nhuong V. Nguyen Germany
Aaron J. Gottschalk United States
Ryan M. Baxley United States
Xin Quan Ge China
Coline Arnould France
Georgia Velimezi Austria
Giulia Saredi relative to Anahita Lashgari Canada Anahita Lashgari's profile →
Citations per field
00.5×10×20×30×40×46×
Anahita Lashgari · 1×
Citations per year

Countries citing papers authored by Giulia Saredi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Saredi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2015178
2 2016161
3 2019155
4 201841
5 202411

About Giulia Saredi

Giulia Saredi is a scholar working on Molecular Biology, Oncology, Cell Biology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 546 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Genomics and Chromatin Dynamics (2 papers), PARP inhibition in cancer therapy (2 papers), Epigenetics and DNA Methylation (1 paper), Protein Degradation and Inhibitors (1 paper), Microtubule and mitosis dynamics (1 paper), RNA modifications and cancer (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (516 citations), Oncology (102 citations), Cell Biology (38 citations), Aging (4 citations) and Cancer Research (26 citations). Giulia Saredi has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Anja Groth, Dinshaw J. Patel, Hongda Huang, Till Bartke, Benjamin M. Foster, Shoudeng Chen, Cristina González‐Aguilera, Anne Strandsby, Constance Alabert and J. Ross Chapman. Their work appears in journals such as Scientific Reports, Science Advances, Nature Cell Biology, Nature and Nature Structural & Molecular Biology.

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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