Debora Valli

555 citations
14 papers · 417 · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Protein Degradation and Inhibitors 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Epigenetics and DNA Methylation 2
    • Cancer-related gene regulation 2
    • Advanced biosensing and bioanalysis techniques 1
    • Acute Myeloid Leukemia Research 6
    • Hematopoietic Stem Cell Transplantation 2

Debora Valli

14 papers receiving 415 citations

Peers

Debora Valli
Comparison fields: 5 of 74
  • Hematology 109
  • Cancer Research 83
  • Molecular Biology 263
  • Oncology 92
  • Genetics 35
Replace Wanmao Ni with:
Wanmao Ni China
Shuoyi Jiang China
Li Cao China
Zhenling Li China
Ruijie Liu China
Shenglin Ma China
Mengxia Yu China
François Hermetet France
Jeffery A. Sosman United States
Debora Valli relative to Wanmao Ni China Wanmao Ni's profile →
Citations per field
00.5×1.5×2.4×
Wanmao Ni · 1×
Citations per year

Countries citing papers authored by Debora Valli

Since Specialization
Citations

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

Fields of papers citing papers by Debora Valli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201681
2 201963
3 201542
4 202040
5 201937
6 202135
7 201827
8 202218
9 202317
10 201617
11 201613
12 201712
13 202011
14 20204

About Debora Valli

Debora Valli is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Cancer Research, having authored 14 papers that have together received 417 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Histone Deacetylase Inhibitors Research (3 papers), Protein Degradation and Inhibitors (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer-related gene regulation (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Hematology (109 citations), Cancer Research (83 citations), Molecular Biology (263 citations), Oncology (92 citations) and Genetics (35 citations). Debora Valli has collaborated with scholars based in Italy and United States. Frequent co-authors include Alicja Gruszka, Myriam Alcalay, Giulia Matacchione, Carla Micucci, Alfonso Catalano, Olivieri Fabiola, Maria Rita Rippo, Gianluca Deflorian, Anna Marozzi and Elisa Barbieri. Their work appears in journals such as Cells, Oncotarget, Cancers, Biogerontology and Scientific Reports.

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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