Daniele Vallisa

6.2k citations
96 papers · 2.0k indexed · h-index 23

Daniele Vallisa

90 papers receiving 2.0k citations

Peers

Daniele Vallisa
Comparison fields: 5 of 92
  • Hepatology 585
  • Genetics 506
  • Pathology and Forensic Medicine 692
  • Oncology 727
  • Internal Medicine 53
Replace Giuseppe Civardi with:
Giuseppe Civardi Italy
Antonio Lazzaro Italy
Philip R. Exelby United States
Eli Zuckerman Israel
José A. Gómez‐Puerta Spain
Augusto Vaglio Italy
Mutlu Arat Türkiye
Gilbert Massard France
Harvey M. Goldstein United States
Katerina Malagari Greece
Daniele Vallisa relative to Giuseppe Civardi Italy Giuseppe Civardi's profile →
Citations per field
00.5×6.8×
Giuseppe Civardi · 1×
Citations per year

Countries citing papers authored by Daniele Vallisa

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Vallisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20239
3 20226
4 20212
5 20211
6 202136
7 20151
8 20154
9 201522
10 201152
11 200942
12 200719
13 200222
14
Clinical activity and safety of combination immunotherapy with IFN-alpha 2a and Rituximab in patients with relapsed low grade non-Hodgkin's lymphoma.
200162
15 20012
16
Percutaneous radiofrequency ablation of small hepatocellular carcinoma. Long term results
20002
17
Primary lymphoma of the spleen. Report of a case with diagnosis by fine-needle guided biopsy.
199514
18 199516
19 199420
20 199246

About Daniele Vallisa

Daniele Vallisa is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (40 papers), Chronic Lymphocytic Leukemia Research (33 papers), Viral-associated cancers and disorders (14 papers), Ovarian cancer diagnosis and treatment (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Central Venous Catheters and Hemodialysis (4 papers). The work is most often cited by research in Hepatology (585 citations), Genetics (506 citations) and Pathology and Forensic Medicine (692 citations). Daniele Vallisa has collaborated with scholars based in Italy, Ukraine and United Kingdom. Frequent co-authors include Luigi Cavanna, Elisabetta Buscarini, Luigi Buscarini, Raffaella Bertè, Andrea Rocca, M. Stasi, Giuseppe Civardi, Pietro Quaretti, Antonio Lazzaro and Patrizia Bernuzzi. Their work appears in journals such as Blood, Cancer, European Journal of Cancer, Acta Haematologica and Journal of Clinical Oncology.

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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