Manuela Rizzo

1.3k citations
28 papers · 395 · h-index 7

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 6
    • Acute Myeloid Leukemia Research 4
    • Protein Degradation and Inhibitors 2

Manuela Rizzo

24 papers receiving 382 citations

Peers

Manuela Rizzo
Comparison fields: 5 of 47
  • Hematology 192
  • Pathology and Forensic Medicine 109
  • Genetics 55
  • Oncology 80
  • Public Health, Environmental and Occupational Health 75
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C Stainer United Kingdom
Anne‐Claire Gac France
Moira Lucesole Italy
K.G. van der Hem Netherlands
Gail Miflin United Kingdom
Émilie Lemasle France
Masa Lasica Australia
Pierangelo Spedini Italy
C. Tirier Germany
Rafael Dezen Gaiolla Brazil
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Citations per year

Countries citing papers authored by Manuela Rizzo

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Rizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 2003106
3 200835
4 202134
5 201820
6 202219
7 20076
8 19936
9 20205
10 20045
11 20155
12 20174
13 20183
14 20092
15 20222
16 20241
17 20091
18 20221
19 20221
20 20201

About Manuela Rizzo

Manuela Rizzo is a scholar working on Hematology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 28 papers that have together received 395 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Multiple Myeloma Research and Treatments (6 papers), Cancer Treatment and Pharmacology (4 papers), Acute Myeloid Leukemia Research (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Protein Degradation and Inhibitors (2 papers), Potassium and Related Disorders (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (192 citations), Pathology and Forensic Medicine (109 citations), Genetics (55 citations), Oncology (80 citations) and Public Health, Environmental and Occupational Health (75 citations). Manuela Rizzo has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Francesco Lo‐Coco, Alessandra Spagnoli, Paolo de Fabritiis, Micol Quaresima, Benedetta Neri, Licia Ottaviani, Maria Ilaria Del Principe, Chiara Sarlo, Sergio Amadori and William Arcese. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Nephrology, British Journal of Haematology and Biochemical and Biophysical Research Communications.

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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