Sara Vieira

456 citations
14 papers · 334 indexed · h-index 9
Topics
Chronic Myeloid Leukemia Treatments (4 papers)Chronic Lymphocytic Leukemia Research (3 papers)Muscle Physiology and Disorders (2 papers)

In The Last Decade

Sara Vieira

14 papers receiving 324 citations

Peers

Sara Vieira
Comparison fields: 5 of 59
  • Hematology 164
  • Molecular Biology 112
  • Genetics 106
  • Rheumatology 55
  • Cardiology and Cardiovascular Medicine 53
Replace Gioia Colafigli with:
Gioia Colafigli Italy
Ajay Abraham United States
Shuqian Xu China
Qianxu Guo United States
Katja Müdder Germany
Valentina Giai Italy
J Voglová Czechia
Vincent Gagné Canada
Soken-Nakazawa J. Song Japan
Yu Wei China
Sara Vieira relative to Gioia Colafigli Italy Gioia Colafigli's profile →
Citations per field
00.5×3.3×
Gioia Colafigli · 1×
Citations per year

Countries citing papers authored by Sara Vieira

Since Specialization
Citations

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

Fields of papers citing papers by Sara Vieira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Vieira

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Vieira. A scholar is included among the top collaborators of Sara Vieira 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 Vieira. Sara Vieira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3 36
4 26
5 5
6 2
7 3
8 17
9 15
10 38
11 33
12
The PML-RAR alpha transcript in long-term follow-up of acute promyelocytic leukemia patients.
18
13
Direct relation between BCR-ABL tyrosine kinase activity and cyclin D2 expression in lymphoblasts.
42
14
BCR-ABL tyrosine kinase activity regulates the expression of multiple genes implicated in the pathogenesis of chronic myeloid leukemia.
97

About Sara Vieira

Sara Vieira is a scholar working on Aging, Hematology and Genetics, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Hematology (164 citations), Genetics (106 citations) and Rheumatology (55 citations). Sara Vieira has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Junia V. Melo, Michael W. Deininger, John M. Goldman, Beate Schultheis, Letizia Foroni, Daniel Moreira‐Gonçalves, Tiago Henriques‐Coelho, Ana Isabel Padrão, Nick Bown and Renaud Capdeville. Their work appears in journals such as Blood, The Journal of Physiology and The FASEB Journal.

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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