Mariarita Sciumé

1.4k citations
27 papers · 225 · h-index 9

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 9
    • Chronic Myeloid Leukemia Treatments 5
    • Chronic Lymphocytic Leukemia Research 6
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Mariarita Sciumé

24 papers receiving 225 citations

Peers

Mariarita Sciumé
Comparison fields: 5 of 48
  • Hematology 90
  • Genetics 56
  • Rheumatology 36
  • Oncology 49
  • Immunology 33
Replace Mac Macheta with:
Mac Macheta United Kingdom
Sanjeevan Sharma India
Paul F. Galbraith Canada
Vincenzo Federico Italy
Dan Xu China
George Chan New Zealand
Nahoko Hatsumi Japan
Giuseppina Loglisci Italy
Douglas Tremblay United States
Caterina Stefanizzi Italy
Mariarita Sciumé relative to Mac Macheta United Kingdom Mac Macheta's profile →
Citations per field
00.5×3.4×
Mac Macheta · 1×
Citations per year

Countries citing papers authored by Mariarita Sciumé

Since Specialization
Citations

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

Fields of papers citing papers by Mariarita Sciumé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201923
3 202021
4 202220
5 201717
6 202213
7 202013
8 202211
9 202310
10 20128
11 20155
12 20224
13 20113
14 20203
15 20203
16 20183
17 20192
18 20182
19 20222
20 20162

About Mariarita Sciumé

Mariarita Sciumé is a scholar working on Hematology, Genetics, Immunology, Pathology and Forensic Medicine and Oncology, having authored 27 papers that have together received 225 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Mast cells and histamine (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (90 citations), Genetics (56 citations), Rheumatology (36 citations), Oncology (49 citations) and Immunology (33 citations). Mariarita Sciumé has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Agostino Cortelezzi, Nicola Fracchiolla, Nicola Orofino, Dario Consonni, Emanuela Orsi, Cristina Bucelli, Veronica Resi, Chiara Elena, Ester Orlandi and Valeria Grancini. Their work appears in journals such as Blood, Hematological Oncology, Frontiers in Oncology, Journal of Geriatric Oncology and Expert Opinion on Drug Safety.

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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