Rita Rizzi

3.3k citations
78 papers · 1.8k · h-index 23

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 19
    • Acute Myeloid Leukemia Research 5
    • Bone health and treatments 9

Rita Rizzi

71 papers receiving 1.7k citations

Peers

Rita Rizzi
Comparison fields: 5 of 98
  • Hematology 542
  • Genetics 312
  • Hepatology 188
  • Rheumatology 263
  • Oncology 468
Replace Katsuji Shinagawa with:
Katsuji Shinagawa Japan
Phyllis I. Warkentin United States
Pietro Pioltelli Italy
George D. Eliopoulos Greece
Shigetaka Shimodaira Japan
Johan Lanng Nielsen Denmark
P H Wiernik United States
Vita J. Land United States
Eeva Juvonen Finland
Pietro Muretto Italy
Rita Rizzi relative to Katsuji Shinagawa Japan Katsuji Shinagawa's profile →
Citations per field
00.5×2×3×3.8×
Katsuji Shinagawa · 1×
Citations per year

Countries citing papers authored by Rita Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by Rita Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013173
2 1994155
3 2004130
4 2011107
5 2008102
6 200391
7 200382
8 201173
9 201658
10 199156
11 199750
12 200550
13 201449
14 199345
15 200939
16 199933
17 199032
18 198427
19 202026
20
Immunoperoxidase staining of the HBV-associated delta antigen in paraffinated liver specimens.
198226

About Rita Rizzi

Rita Rizzi is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Rheumatology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Bone health and treatments (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Systemic Lupus Erythematosus Research (6 papers), Bone Metabolism and Diseases (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Vasculitis and related conditions (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Hematology (542 citations), Genetics (312 citations), Hepatology (188 citations), Rheumatology (263 citations) and Oncology (468 citations). Rita Rizzi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giorgina Specchia, Vincenzo Liso, Arcangelo Liso, Paola Curci, Silvia Colucci, Maria Grano, Giacomina Brunetti, Giorgio Mori, Anna Mestice and Alberta Zallone. Their work appears in journals such as Blood, Annals of Hematology, International Journal of Clinical & Laboratory Research, Acta Haematologica and Annals of the New York Academy of Sciences.

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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