MF Martelli

1.7k citations
30 papers · 1.2k · h-index 15

Impact in

Papers in

MF Martelli

30 papers receiving 1.2k citations

Peers

MF Martelli
Comparison fields: 5 of 63
  • Hematology 405
  • Pathology and Forensic Medicine 544
  • Immunology 506
  • Genetics 214
  • Oncology 376
Replace BR Blazar with:
BR Blazar United States
AM Levine United States
Ingrid Simonitsch Austria
Tadashi Koike Japan
ME Kadin United States
EF Winton United States
DC Arthur United States
Jean‐Pierre Farcet France
Zhong-Jun Xia China
Yasushi Isobe Japan
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Citations per field
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Citations per year

Countries citing papers authored by MF Martelli

Since Specialization
Citations

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

Fields of papers citing papers by MF Martelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995357
2 1992171
3 1990160
4 1990122
5 199596
6 199557
7
Genomic instability and recurrent breakpoints are main cytogenetic findings in Hodgkin's disease.
199951
8 198838
9 199429
10 200224
11 199118
12 199017
13
3q aberration and monosomy 7 in ANLL presenting with high platelet count and diabetes insipidus.
199515
14 200214
15
A phase III comparative trial of m-BACOD vs m-BNCOD in the treatment of stage II-IV diffuse non-Hodgkin's lymphomas.
199014
16 19938
17
AML1/MTG16 fusion gene from a t(16;21)(q24;q22) translocation in treatment-induced leukemia after breast cancer.
20018
18 19656
19 19676
20 19915

About MF Martelli

MF Martelli is a scholar working on Hematology, Pathology and Forensic Medicine, Immunology, Oncology and Genetics, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Viral-associated cancers and disorders (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (405 citations), Pathology and Forensic Medicine (544 citations), Immunology (506 citations), Genetics (214 citations) and Oncology (376 citations). MF Martelli has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Brunangelo Falini, Stefano Pileri, Leonardo Flenghi, Giovanni Pizzolo, Horst Dürkop, Fiorenzo Stirpe, H Stein, M Fagioli, K C Gatter and Georges Delsol. Their work appears in journals such as Blood, Annals of Hematology, British Journal of Haematology, Acta Haematologica and Bone Marrow Transplantation.

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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