Daniele Laszlò

2.4k citations
67 papers · 1.6k · h-index 20

Impact in

Papers in

    • Neutropenia and Cancer Infections 11
    • Viral-associated cancers and disorders 8
    • Hematopoietic Stem Cell Transplantation 27
    • Acute Myeloid Leukemia Research 13
    • Multiple Myeloma Research and Treatments 7

Daniele Laszlò

66 papers receiving 1.5k citations

Peers

Daniele Laszlò
Comparison fields: 5 of 72
  • Hematology 597
  • Pathology and Forensic Medicine 649
  • Genetics 350
  • Oncology 709
  • Immunology 223
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Citations per year

Countries citing papers authored by Daniele Laszlò

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Laszlò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005176
2 2013148
3 2001131
4 2007126
5 2017125
6 199670
7
Monitoring of polyomavirus BK viruria in bone marrow transplantation patients by DNA hybridization assay and by polymerase chain reaction: an approach to assess the relationship between BK viruria and hemorrhagic cystitis.
199453
8 199850
9 201348
10 199743
11
Prostaglandin E2 bladder instillation for the treatment of hemorrhagic cystitis after allogeneic bone marrow transplantation.
199643
12 201543
13 201041
14 200040
15 200536
16 201533
17
Combination therapy with G-CSF and erythropoietin after autologous bone marrow transplantation for lymphoid malignancies: a randomized trial.
199624
18 202120
19 199920
20 199919

About Daniele Laszlò

Daniele Laszlò is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Genetics and Immunology, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (27 papers), Lymphoma Diagnosis and Treatment (23 papers), Chronic Lymphocytic Leukemia Research (16 papers), Acute Myeloid Leukemia Research (13 papers), Neutropenia and Cancer Infections (11 papers), Viral-associated cancers and disorders (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (597 citations), Pathology and Forensic Medicine (649 citations), Genetics (350 citations), Oncology (709 citations) and Immunology (223 citations). Daniele Laszlò has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Giovanni Martinelli, Alberto Bosi, Emanuele Zucca, Annarita Conconi, Giancarlo Pruneri, Liliana Calabrese, Riccardo Saccardi, S. Guidi, Franco Cavalli and A. Azzi. Their work appears in journals such as Blood, Journal of Clinical Oncology, Bone Marrow Transplantation, Leukemia Research and Expert Opinion on Biological Therapy.

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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