Elisabetta Abruzzese

11.9k citations
150 papers · 3.2k indexed · h-index 27

Elisabetta Abruzzese

136 papers receiving 3.1k citations

Peers

Elisabetta Abruzzese
Comparison fields: 5 of 91
  • Hematology 2.5k
  • Genetics 1.8k
  • Rheumatology 1.1k
  • Oncology 538
  • Pathology and Forensic Medicine 354
Replace Juan Luis Steegmann with:
Juan Luis Steegmann Spain
Nicoletta Testoni Italy
H. Kantarjian United States
Francesca Palandri Italy
François Delhommeau France
Andrzej Hellmann Poland
Jaspal Kaeda United Kingdom
Stephen G. O’Brien United Kingdom
Stefan Faderl United States
Éric Lippert France
Elisabetta Abruzzese relative to Juan Luis Steegmann Spain Juan Luis Steegmann's profile →
Citations per field
00.5×2.8×
Juan Luis Steegmann · 1×
Citations per year

Countries citing papers authored by Elisabetta Abruzzese

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Abruzzese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 20243
5 20231
6 20234
7 20194
8 20171
9
CARDIOVASCULAR (CV)-RELATED HOSPITALIZATION IN PATIENTS WITH CHRONIC-PHASE CHRONIC MYELOID LEUKEMIA (CP-CML) IN SIMPLICITY, A PROSPECTIVE OBSERVATIONAL STUDY
20152
10 201542
11
ATHEROTHROMBOTIC RISK ASSESSMENT DURING TYROSINE KINASE INHIBITORS TREATMENT IN CHRONIC MYELOID LEUKEMIA PATIENTS: NEW INSIGHT?
20141
12 20133
13 201210
14 201138
15 2008305
16 20063
17 200571
18 200110
19 200024
20
AML-M0: a biological and clinical profile
19982

About Elisabetta Abruzzese

Elisabetta Abruzzese is a scholar working on Hematology, Genetics and Rheumatology, having authored 150 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (106 papers), Chronic Lymphocytic Leukemia Research (72 papers), Eosinophilic Disorders and Syndromes (45 papers), Acute Lymphoblastic Leukemia research (26 papers), Acute Myeloid Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and HER2/EGFR in Cancer Research (6 papers). The work is most often cited by research in Hematology (2.5k citations), Genetics (1.8k citations) and Rheumatology (1.1k citations). Elisabetta Abruzzese has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Sergio Amadori, Marilina Amabile, Roberto Stasi, Gianantonio Rosti, Michele Baccarani, Paolo de Fabritiis, Giovanni Del Poeta, Fausto Castagnetti, Simona Soverini and Giovanni Martinelli. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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