Irene Riz

420 citations
13 papers · 317 · h-index 10

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
    • Epigenetics and DNA Methylation

Papers in

    • Protein Degradation and Inhibitors 2
    • Histone Deacetylase Inhibitors Research 2
    • Cell death mechanisms and regulation 2
    • RNA Interference and Gene Delivery 2
    • Acute Myeloid Leukemia Research 2
    • Multiple Myeloma Research and Treatments 2

Irene Riz

13 papers receiving 313 citations

Peers

Irene Riz
Comparison fields: 5 of 48
  • Hematology 111
  • Molecular Biology 232
  • Oncology 71
  • Cancer Research 27
  • Immunology 38
Replace Tommaso Perini with:
Tommaso Perini Italy
Chris Riffkin Australia
Jason Clark United States
Ina van Zantwijk Netherlands
Jeffrey Strovel United States
Kim Chan Chung Canada
Xiongpeng Zhu China
Xavier H. Mascle Canada
Soon H. Kim United States
Jenna L. Carter United States
Irene Riz relative to Tommaso Perini Italy Tommaso Perini's profile →
Citations per field
00.5×1.5×2.5×
Tommaso Perini · 1×
Citations per year

Countries citing papers authored by Irene Riz

Since Specialization
Citations

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

Fields of papers citing papers by Irene Riz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Irene Riz, 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 Irene Riz Line = papers co-authored together Irene Riz links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201370
2 201565
3 201651
4 200536
5 201022
6 200921
7 200715
8 201712
9 20119
10 20129
11 20104
12 20162
13 20091

About Irene Riz

Irene Riz is a scholar working on Molecular Biology, Hematology, Oncology, Cell Biology and Epidemiology, having authored 13 papers that have together received 317 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), NF-κB Signaling Pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cell death mechanisms and regulation (2 papers), Multiple Myeloma Research and Treatments (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Hematology (111 citations), Molecular Biology (232 citations), Oncology (71 citations), Cancer Research (27 citations) and Immunology (38 citations). Irene Riz has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Robert G. Hawley, Teresa S. Hawley, Louis DePalma, Weiqun Peng, Yoshiyuki Wakabayashi, Jun Zhu, Young‐Tae Chang, Wenjing Yang, Truong Luu and Norman H. Lee. Their work appears in journals such as Oncotarget, Oncogene, Biochemical and Biophysical Research Communications, Genes Chromosomes and Cancer and American Journal of Hematology.

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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