Chiara Biasoli

559 total citations
26 papers, 386 citations indexed

About

Chiara Biasoli is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Chiara Biasoli has authored 26 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hematology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Chiara Biasoli's work include Hemophilia Treatment and Research (21 papers), Platelet Disorders and Treatments (7 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). Chiara Biasoli is often cited by papers focused on Hemophilia Treatment and Research (21 papers), Platelet Disorders and Treatments (7 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). Chiara Biasoli collaborates with scholars based in Italy, United States and Poland. Chiara Biasoli's co-authors include Angiola Rocino, Massimo Morfini, Cindy Leissinger, Bülent Zülfikar, Claude Négrier, Erik Berntorp, Jerzy Windyga, Kaan Kavaklı, Paolo Angelo Cortesi and LG Mantovani and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Chiara Biasoli

22 papers receiving 375 citations

Peers

Chiara Biasoli
Comparison fields: 5 of 44
  • Hematology 356
  • Genetics 89
  • Molecular Biology 57
  • Surgery 26
  • Pulmonary and Respiratory Medicine 19
Replace V. Roussel‐Robert with:
V. Roussel‐Robert France
Jayanthi Alamelu United Kingdom
C. M. Kessler United States
Jerry Teitel Canada
SJ Koppelman
Maj Carlsson Sweden
Connie Duckers Netherlands
Marie-Anne Bertrand France
Patrick F. Fogarty United States
Berntorp Sweden
V. Roussel‐Robert France View profile →
Citations per field, relative to Chiara Biasoli
Chiara Biasoli · 1×
Citations per year, relative to Chiara Biasoli
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Countries citing papers authored by Chiara Biasoli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Biasoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Biasoli

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Biasoli. A scholar is included among the top collaborators of Chiara Biasoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chiara Biasoli. Chiara Biasoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 0
4 5
5 1
6 9
7 10
8 1
9 11
10 5
11 10
12 2
13 5
14 5
15 52
16 22
17 164
18 18
19 24
20 2

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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