Mario Annunziata

3.2k citations
51 papers · 776 indexed · h-index 17
Topics
Chronic Lymphocytic Leukemia Research (20 papers)Chronic Myeloid Leukemia Treatments (20 papers)Acute Myeloid Leukemia Research (19 papers)
Partner nations
ItalyUnited KingdomIndia

In The Last Decade

Mario Annunziata

49 papers receiving 760 citations

Peers

Mario Annunziata
Comparison fields: 5 of 70
  • Hematology 592
  • Genetics 255
  • Molecular Biology 202
  • Public Health, Environmental and Occupational Health 146
  • Oncology 141
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 of co-authors of Mario Annunziata

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Annunziata. A scholar is included among the top collaborators of Mario Annunziata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Annunziata. Mario Annunziata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 1
4 15
5 7
6 39
7 9
8 17
9 7
10 14
11 15
12 30
13 35
14 20
15 12
16 24
17 9
18 32
19
Therapeutic options and treatment results for patients over 75 years of age with acute myeloid leukemia.
31
20 17

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) and Acute Myeloid Leukemia Research (19 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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