Silvia Buttignol

1.1k citations
8 papers · 723 · h-index 5

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
    • Platelet Disorders and Treatments
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer Treatment and Pharmacology
    • Bone health and treatments

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Chronic Myeloid Leukemia Treatments 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Chronic Lymphocytic Leukemia Research 1

Silvia Buttignol

8 papers receiving 710 citations

Peers

Silvia Buttignol
Comparison fields: 5 of 34
  • Hematology 646
  • Oncology 312
  • Genetics 71
  • Emergency Medicine 56
  • Pathology and Forensic Medicine 74
Replace Jeffrey Haessler with:
Jeffrey Haessler United States
Michela Ceccolini Italy
Beatrice Anna Zannetti Italy
Lucia Pantani Italy
Christiane Heiß Germany
Francesca Carobolante Italy
Nicola Lang Germany
R. Fanin Italy
Terri L. Alpe United States
Ernesto Pérez Persona Spain
Silvia Buttignol relative to Jeffrey Haessler United States Jeffrey Haessler's profile →
Citations per field
00.5×
Jeffrey Haessler · 1×
Citations per year

Countries citing papers authored by Silvia Buttignol

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Buttignol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2011359
2 2007251
3 201250
4 201534
5 200825
6 20072
7 20101
8 20131

About Silvia Buttignol

Silvia Buttignol is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 8 papers that have together received 723 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Autoimmune Bullous Skin Diseases (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (646 citations), Oncology (312 citations), Genetics (71 citations), Emergency Medicine (56 citations) and Pathology and Forensic Medicine (74 citations). Silvia Buttignol has collaborated with scholars based in Italy and United States. Frequent co-authors include Michèle Cavo, Cristina Nanni, Elena Zamagni, Francesca Patriarca, Emanuela Englaro, Annamaria Brioli, Michele Baccarani, Paola Tacchetti, Giulia Perrone and Stefano Fanti. Their work appears in journals such as Blood, Leukemia Research, American Journal of Hematology, Biology of Blood and Marrow Transplantation and Haematologica.

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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