C. Astori

1.6k citations
21 papers · 1.1k · h-index 12

Impact in

  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

C. Astori

20 papers receiving 1.1k citations

Peers

C. Astori
Comparison fields: 5 of 40
  • Genetics 747
  • Hematology 487
  • Rheumatology 222
  • Pathology and Forensic Medicine 238
  • Neurology 94
Replace Cesare Astori with:
Cesare Astori Italy
Eva Löfvenberg Sweden
Ester Pungolino Italy
Maura Nicolosi Italy
Carlos Besses Spain
Rakhee Vaidya United States
Michele Merli Italy
R Ayats Spain
Niels Tinggaård Pedersen Denmark
Paul B. Donovan Ireland
C. Astori relative to Cesare Astori Italy Cesare Astori's profile →
Citations per field
00.5×2.6×
Cesare Astori · 1×
Citations per year

Countries citing papers authored by C. Astori

Since Specialization
Citations

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

Fields of papers citing papers by C. Astori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010281
2 2015182
3 2008178
4 1993119
5 200249
6 199441
7 201040
8 199437
9 199934
10 199431
11 199420
12 199519
13
Transient response of myeloma clone to pamidronate therapy.
199911
14 20098
15
Secondary acute myeloid leukemia following treatment with VP16-containing regimens for non-Hodgkin's lymphoma.
19987
16 20055
17 20004
18 19973
19 19952
20 19981

About C. Astori

C. Astori is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Molecular Biology and Oncology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Kruppel-like factors research (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Genetics (747 citations), Hematology (487 citations), Rheumatology (222 citations), Pathology and Forensic Medicine (238 citations) and Neurology (94 citations). C. Astori has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Emanuela Boveri, Mario Lazzarino, Daniela Pietra, Luca Arcaini, Ercole Brusamolino, Chiara Elena, Francesco Passamonti, Sabrina Boggi, Enrica Morra and Elisa Rumi. Their work appears in journals such as Annals of Oncology, Haematologica, Leukemia, Annals of Hematology and Journal of Clinical Oncology.

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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