Mario Annunziata

3.2k citations
51 papers · 776 indexed · h-index 17
  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments 20
    • Acute Myeloid Leukemia Research 19
    • Hematopoietic Stem Cell Transplantation 9
    • Multiple Myeloma Research and Treatments 4
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 20
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5
  • Rheumatology top 10%
    • Eosinophilic Disorders and Syndromes 7
    • Acute Lymphoblastic Leukemia research 13

Mario Annunziata

49 papers receiving 760 citations

Peers

Mario Annunziata
Comparison fields: 5 of 70
  • Hematology 592
  • Genetics 255
  • Rheumatology 108
  • Oncology 141
  • Public Health, Environmental and Occupational Health 146
Replace Paola Masolini with:
Paola Masolini Italy
S Gentili Italy
Abdulkadyrov Km Russia
Kunitake Hirashima Japan
Antònia Sampol Spain
R Cimino Italy
Giuseppina Mele Italy
Nicole A. Carreau United States
Hyeoung Joon Kim South Korea
Salah Aref Egypt
Mario Annunziata relative to Paola Masolini Italy Paola Masolini's profile →
Citations per field
00.5×10×17×
Paola Masolini · 1×
Citations per year

Countries citing papers authored by Mario Annunziata

Since Specialization
Citations

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

Fields of papers citing papers by Mario Annunziata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20239
3 20221
4 202115
5 20207
6 201239
7 20109
8 200617
9 20067
10 200414
11 200415
12 200430
13 200335
14 200320
15 200212
16 200124
17 20019
18 199932
19
Therapeutic options and treatment results for patients over 75 years of age with acute myeloid leukemia.
199831
20 199817

About Mario Annunziata

Mario Annunziata is a scholar working on Hematology, Genetics and Rheumatology, having authored 51 papers that have together received 776 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (20 papers), Chronic Myeloid Leukemia Treatments (20 papers), Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (13 papers), Hematopoietic Stem Cell Transplantation (9 papers), Eosinophilic Disorders and Syndromes (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Multiple Myeloma Research and Treatments (4 papers). The work is most often cited by research in Hematology (592 citations), Genetics (255 citations) and Rheumatology (108 citations). Mario Annunziata has collaborated with scholars based in Italy, United Kingdom and India. Frequent co-authors include Felicetto Ferrara, Ettore Mariano Schiavone, Salvatore Palmieri, Giuseppina Mele, Giorgina Specchia, Mariacarla De Simone, Fabrizio Pane, Luigi Del Vecchio, Barbara Pocali and Bruno Martino. Their work appears in journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

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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