Vico Vecchi

535 citations
28 papers · 417 indexed · h-index 12

Vico Vecchi

28 papers receiving 400 citations

Peers

Vico Vecchi
Comparison fields: 5 of 43
  • Hematology 127
  • Pathology and Forensic Medicine 126
  • Neurology 105
  • Genetics 63
  • Public Health, Environmental and Occupational Health 166
Replace D G Tubergen with:
D G Tubergen United States
C Béhar France
M Ostronoff France
E. P. Alessandrino Italy
Susan R. Wiersma United States
JM Boyett United States
Regina Reutzel Germany
Michael R. Wollman United States
Naoto Fujita Japan
J.L. Pico France
Vico Vecchi relative to D G Tubergen United States D G Tubergen's profile →
Citations per field
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D G Tubergen · 1×
Citations per year

Countries citing papers authored by Vico Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by Vico Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201212
2
Treatment of childhood acute lymphoblastic leukemia. Long-term results of the AIEOP-ALL 87 study.
200115
3 19989
4 199350
5 199314
6 199346
7 19922
8 19911
9 198943
10
Factors predicting chronic graft-versus-host disease and survival after marrow transplantation for aplastic anemia.
198928
11 198817
12 19883
13 19864
14 19856
15 19822
16 198216
17 19816
18 198010
19
[Neuroblastoma. Hematologic aspects and prognostic considerations].
19781
20
[Lymphoblast cell size in childhood acute lymphoblastic leukemia: study on correlation with duration of remission or with PAS-positivity (author's transl)].
19771

About Vico Vecchi

Vico Vecchi is a scholar working on Neurology, Genetics and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 417 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (13 papers), Lymphoma Diagnosis and Treatment (7 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Neuroblastoma Research and Treatments (6 papers), Glioma Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (127 citations), Pathology and Forensic Medicine (126 citations) and Neurology (105 citations). Vico Vecchi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include G Paolucci, P Rosito, Andrea Pession, Roberta Burnelli, Giuseppe Masera, Antonia Mancini, Maria Grazia Zurlo, Fabio Timeus, Silvia Marsoni and G. Avanzi. Their work appears in journals such as Cancer, Neurological Sciences, The Pediatric Infectious Disease Journal, British Journal of Haematology and Blood.

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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