F Carbonell

547 citations
16 papers · 340 · h-index 10

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Blood groups and transfusion 5
    • Multiple Myeloma Research and Treatments 2
    • Insect Resistance and Genetics 2

F Carbonell

15 papers receiving 327 citations

Peers

F Carbonell
Comparison fields: 5 of 65
  • Hematology 100
  • Genetics 83
  • Hepatology 34
  • Immunology 57
  • Surgery 68
Replace Armi Salo with:
Armi Salo Finland
L.F. Bouzas Brazil
Zhenchuan Miao China
Susan Rouda United States
Xinyu Tang China
Herdit M. Schüler Germany
Wight Tn United States
Gregory W. Roloff United States
Ping Hong United States
Saeid Abroun Iran
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Citations per field
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Citations per year

Countries citing papers authored by F Carbonell

Since Specialization
Citations

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

Fields of papers citing papers by F Carbonell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F Carbonell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F Carbonell Line = papers co-authored together F Carbonell links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200680
2 198740
3 200939
4
bcl-2 expression in plasma cells from neoplastic gammopathies and reactive plasmacytosis: a comparative study.
199835
5 201730
6 201621
7 199520
8 201715
9 198114
10
In vitro proliferation, differentiation and immuno-magnetic bead purification of human myoblasts.
199910
11 19959
12 19868
13 19908
14 20207
15 19904
16 20090

About F Carbonell

F Carbonell is a scholar working on Hematology, Molecular Biology, Genetics, Plant Science and Immunology, having authored 16 papers that have together received 340 indexed citations. Recurring topics across this work include Blood groups and transfusion (5 papers), Genetically Modified Organisms Research (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Liver physiology and pathology (2 papers), Insect Resistance and Genetics (2 papers), Multiple Myeloma Research and Treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (100 citations), Genetics (83 citations), Hepatology (34 citations), Immunology (57 citations) and Surgery (68 citations). F Carbonell has collaborated with scholars based in Spain, Argentina and United States. Frequent co-authors include Vicente Mirabet, A. Bonora-Centelles, José V. Castell, Ramiro Jover, Soledad Ureta, Alejandro Presotto, Mónica Poverene, Miguel Cantamutto, M. José Gómez‐Lechón and Raquel Taléns‐Visconti. Their work appears in journals such as Vox Sanguinis, Environmental Monitoring and Assessment, Environmental Science and Pollution Research, British Journal of Haematology and Toxicology in Vitro.

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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