C Mecucci

1.1k citations
35 papers · 765 indexed · h-index 16

C Mecucci

34 papers receiving 738 citations

Peers

C Mecucci
Comparison fields: 5 of 38
  • Hematology 392
  • Genetics 272
  • Pathology and Forensic Medicine 176
  • Rheumatology 106
  • Immunology 116
Replace Anna Aventı́n with:
Anna Aventı́n Spain
Françoise Brizard France
Mordechai Shtalrid Israel
Gill Wilson United Kingdom
HM Kantarjian United States
Mitchell A. Bitter United States
María José Larráyoz Spain
TS Ganesan United Kingdom
Anna Jankowska United States
Ilana Zalcberg Brazil
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Citations per field
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Citations per year

Countries citing papers authored by C Mecucci

Since Specialization
Citations

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

Fields of papers citing papers by C Mecucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20111
2 20111
3 20083
4 200836
5 200817
6 200816
7 200718
8 200711
9 200671
10 200526
11 20052
12
The TET RNA-binding proteins, EWSR1 and TAF15, are involved in acute lymphoblastic leukemia, through fusion with a new transcription factor, CIZ/NMP4
20022
13
Successful use of the same slide for consecutive fluorescence in situ hybridization (FISH) experiments
199619
14
Epidemiological research on the influence of maternal and paternal external exposure factors on the incidence of congenital leukaemia
19962
15 199523
16 199590
17
FISH analysis of typical t(5;12) (q32;p12) and variant t(10;12)(q23;p12) translocation in four patients with chronic myeloid disorders
19944
18 199246
19
Cytogenetic follow-up after allogeneic bone-marrow transplantation for Ph1-positive chronic myelogenous leukemia.
199013
20 19874

About C Mecucci

C Mecucci is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 35 papers that have together received 765 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Eosinophilic Disorders and Syndromes (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Hematology (392 citations), Genetics (272 citations) and Pathology and Forensic Medicine (176 citations). C Mecucci has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Roberta La Starza, Iwona Włodarska, Peter Marynen, Herman Van den Berghe, Ana Aventín, G. Verhoef, A. Criel, Maria Paola Martelli, André Bosly and Jl. Michaux. Their work appears in journals such as Blood, British Journal of Haematology, Haematologica, Public Health Genomics and Leukemia.

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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