Rosanna Asselta

12.5k citations
173 papers · 4.4k indexed · 1 hit paper · h-index 38

Rosanna Asselta

164 papers receiving 4.3k citations

Hit Papers

Genetic Analysis of Italian Patients with Congenital Hype...3872013202620172021100200300

Peers

Rosanna Asselta
Comparison fields: 5 of 149
  • Hematology 876
  • Cancer Research 465
  • Genetics 300
  • Neurology 382
  • Pulmonary and Respiratory Medicine 753
Replace Stefano Duga with:
Stefano Duga Italy
Klaus Müller Denmark
Markus Sperandio Germany
Andrew P. Cope United Kingdom
Satoshi Ito Japan
Liang Li China
Eric R. Siegel United States
Marko Salmi Finland
Mark R. Looney United States
Tsuneyo Mimori Japan
Rosanna Asselta relative to Stefano Duga Italy Stefano Duga's profile →
Citations per field
00.5×
Stefano Duga · 1×
Citations per year

Countries citing papers authored by Rosanna Asselta

Since Specialization
Citations

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

Fields of papers citing papers by Rosanna Asselta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202412
3 20240
4 20240
5 20242
6 20232
7 202216
8 202210
9 202210
10 202173
11 202046
12 20206
13 201921
14 201810
15 201813
16 201765
17 201791
18 201737
19 201520
20 200639

About Rosanna Asselta

Rosanna Asselta is a scholar working on Hematology, Genetics and Hepatology, having authored 173 papers that have together received 4.4k indexed citations. Recurring topics across this work include Blood properties and coagulation (29 papers), Blood Coagulation and Thrombosis Mechanisms (25 papers), Hemophilia Treatment and Research (20 papers), Erythrocyte Function and Pathophysiology (14 papers), RNA Research and Splicing (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and Liver Diseases and Immunity (11 papers). The work is most often cited by research in Hematology (876 citations), Cancer Research (465 citations) and Genetics (300 citations). Rosanna Asselta has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Duga, Elvezia Maria Paraboschi, Maria Luisa Tenchini, Flora Peyvandi, Giulia Soldà, Massimo Malcovati, Alberto Mantovani, Pier Mannuccio Mannucci, Valeria Rimoldi and Silvia Spena. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Journal of Thrombosis and Haemostasis, Parkinsonism & Related Disorders and Thrombosis and Haemostasis.

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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