Sara Redaelli

3.2k total citations
41 papers, 1.2k citations indexed

About

Sara Redaelli is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Sara Redaelli has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hematology, 11 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Sara Redaelli's work include Chronic Myeloid Leukemia Treatments (19 papers), Lymphoma Diagnosis and Treatment (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Sara Redaelli is often cited by papers focused on Chronic Myeloid Leukemia Treatments (19 papers), Lymphoma Diagnosis and Treatment (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Sara Redaelli collaborates with scholars based in Italy, Canada and United Kingdom. Sara Redaelli's co-authors include Carlo Gambacorti‐Passerini, Luca Mologni, Rocco Piazza, Addolorata Maria Luce Coluccia, Vera Magistroni, Léonardo Scapozza, Miriam Puttini, Arianna Donella‐Deana, Franca Formelli and Loredana Cleris and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

Sara Redaelli

41 papers receiving 1.2k citations

Peers

Sara Redaelli
Comparison fields: 5 of 83
  • Hematology 505
  • Molecular Biology 463
  • Genetics 365
  • Oncology 260
  • Pulmonary and Respiratory Medicine 249
Replace Antonella Gozzini with:
Antonella Gozzini Italy
Yuri Kamitsuji Japan
Roger Luo United States
Jan Philipp Bewersdorf United States
Hiroki Yoshida Japan
Jürg Schwaller Switzerland
Benjamin D. Hedley Canada
Kathy Chun Canada
Ivan de Kouchkovsky United States
Jay P. Patel United States
Antonella Gozzini Italy View profile →
Citations per field, relative to Sara Redaelli
Sara Redaelli · 1×
Citations per year, relative to Sara Redaelli
Sara Redaelli · 1×

Countries citing papers authored by Sara Redaelli

Since Specialization
Citations

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

Fields of papers citing papers by Sara Redaelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Redaelli

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Redaelli. A scholar is included among the top collaborators of Sara Redaelli 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 Sara Redaelli. Sara Redaelli 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 3
2 10
3 18
4 3
5 61
6 14
7 22
8 18
9 35
10 18
11 15
12 88
13 26
14 31
15 7
16
NPM/ALK binds and phosphorylates the RNA/DNA binding protein PSF in anaplastic large cell lymphoma
1
17 178
18 51
19 28
20
Hemodynamics in patients with systemic-to-pulmonary shunts: mathematical modelling and clinical data
4

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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