Francesca Guijarro

464 citations
21 papers · 92 indexed · h-index 6
Topics
Acute Myeloid Leukemia Research (13 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers)Chronic Lymphocytic Leukemia Research (3 papers)
Partner nations
Spain

In The Last Decade

Francesca Guijarro

19 papers receiving 90 citations

Peers

Francesca Guijarro
Comparison fields: 5 of 25
  • Hematology 47
  • Molecular Biology 41
  • Epidemiology 21
  • Genetics 19
  • Infectious Diseases 15
Replace Dai Keino with:
Dai Keino Japan
Christian Thorball Switzerland
Norihiro Murakami Japan
Virginie Chesnais France
Pasit Phiasivongsa United States
Zachary S. Bohannan United States
Monica Kasbekar United States
Madeline Y. Mayday United States
Aditi Vedi United Kingdom
Francesca Fava Italy
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Citations per field
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Citations per year

Countries citing papers authored by Francesca Guijarro

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Guijarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Guijarro

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Guijarro. A scholar is included among the top collaborators of Francesca Guijarro 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 Francesca Guijarro. Francesca Guijarro 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
#WorkIndexed citations
1 0
2 1
3 1
4 5
5 1
6 3
7 1
8 0
9 3
10 12
11 2
12 1
13 9
14 2
15 2
16 19
17 3
18 9
19
[The dissolution of cystine lithiasis with n-acetylcysteine].
1
20
[Tuberculin test in diabetic patients in a health center].
15

About Francesca Guijarro

Francesca Guijarro is a scholar working on Hematology, Genetics and Rheumatology, having authored 21 papers that have together received 92 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (47 citations), Genetics (19 citations) and Infectious Diseases (15 citations). Francesca Guijarro has collaborated with scholars based in Spain. Frequent co-authors include Jordi Esteve, Ruth M. Risueño, Josep Maria Casasa i Carbo, Mònica López‐Guerra, Dolors Colomer, Neus Villamor, Marı́a Rozman, Sebastián Podlipnik, Célia Bádenas and Anna Gayà. Their work appears in journals such as International Journal of Molecular Sciences, British Journal of Haematology and British Journal of Dermatology.

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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