Rosa Fisac

707 citations
12 papers · 193 indexed · h-index 8
Topics
Chronic Lymphocytic Leukemia Research (5 papers)Immunodeficiency and Autoimmune Disorders (4 papers)Lymphoma Diagnosis and Treatment (4 papers)
Partner nations
SpainFrancePoland

In The Last Decade

Rosa Fisac

12 papers receiving 188 citations

Peers

Rosa Fisac
Comparison fields: 5 of 43
  • Genetics 84
  • Hematology 63
  • Immunology 63
  • Pathology and Forensic Medicine 61
  • Molecular Biology 51
Replace Olivier Theisen with:
Olivier Theisen France
Antonino Greco Italy
Olga Stehlíková Czechia
Bevan Tandon United States
Mónica Del Rey Spain
Giuseppe Auteri Italy
Christina Hanzis United States
A Marossy United Kingdom
C-M Wendtner Germany
Nickolas Tsakmaklis United States
Rosa Fisac relative to Olivier Theisen France Olivier Theisen's profile →
Citations per field
00.5×1.5×
Olivier Theisen · 1×
Citations per year

Countries citing papers authored by Rosa Fisac

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Fisac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Fisac

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 20
2 2
3 11
4 47
5 30
6 12
7 5
8 40
9 1
10 12
11
Serum protein polymorphisms (HP, TF-, GC- and PI subtypes) in two mountain communities of Sierra de Gredos (central Spain).
6
12
The RNAs of three strains of tomato black ring virus.
7

About Rosa Fisac

Rosa Fisac is a scholar working on Genetics, Transplantation and Immunology, having authored 12 papers that have together received 193 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (84 citations), Hematology (63 citations) and Pathology and Forensic Medicine (61 citations). Rosa Fisac has collaborated with scholars based in Spain, France and Poland. Frequent co-authors include Marcos González, José‐Ángel Hernández‐Rivas, Alfonso García de Coca, Juan Luis Garcı́a, Norma C. Gutiérrez, Jesús María Hernández‐Rivas, Guillermo Martín–Núñez, Rocí­o Benito, Javier De Las Rivas and Jesús F. San Miguel. Their work appears in journals such as Blood, PLoS ONE and Annals of Oncology.

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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