Paola Bianchi
- Physiology top 1%
- Hematology top 1%
- Genetics top 1%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Alberto ZanellaElisa FermoGiovanna ValentiniCristina VercellatiWilma BarcelliniGino Roberto CorazzaFederico BiagiAnna Paola Marcello
- Topics
- Erythrocyte Function and Pathophysiology (100 papers)Blood groups and transfusion (39 papers)Hemoglobinopathies and Related Disorders (34 papers)
- Cited by
- GastroenterologyHematologyGenetics
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Paola Bianchi
172 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 149
- Physiology 1.8k
- Hematology 884
- Genetics 808
- Molecular Biology 705
- Pediatrics, Perinatology and Child Health 653
Countries citing papers authored by Paola Bianchi
This map shows the geographic impact of Paola Bianchi'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 Paola Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Bianchi more than expected).
Fields of papers citing papers by Paola Bianchi
This network shows the impact of papers produced by Paola Bianchi. 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 Paola Bianchi. The network helps show where Paola Bianchi may publish in the future.
Co-authorship network of co-authors of Paola Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Bianchi. A scholar is included among the top collaborators of Paola Bianchi 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 Paola Bianchi. Paola Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | STEM CELL TRANSPLANTATION IN PYRUVATE KINASE DEFICIENCY | 1 |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 125 | |
| 13 | 13 | |
| 14 | 117 | |
| 15 | Dynamic tests during cow milking with different types of milk meters. | 1 |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | A new case of adenylate kinase associated with hemolytic anemia due to anon sense mutation in AK-1 gene ARG107->stop. CGA->TGA | 1 |
About Paola Bianchi
Paola Bianchi is a scholar working on Hematology, Genetics and Physiology, having authored 184 papers that have together received 3.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (100 papers), Blood groups and transfusion (39 papers) and Hemoglobinopathies and Related Disorders (34 papers). The work is most often cited by research in Gastroenterology (639 citations), Hematology (884 citations) and Genetics (808 citations). Paola Bianchi has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Alberto Zanella, Elisa Fermo, Giovanna Valentini, Cristina Vercellati, Wilma Barcellini, Gino Roberto Corazza, Federico Biagi, Anna Paola Marcello, A. Marchese and Laurent R. Chiarelli. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.