Rebeca Cuello

683 citations
11 papers · 351 · h-index 9

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Rebeca Cuello

11 papers receiving 345 citations

Peers

Rebeca Cuello
Comparison fields: 5 of 38
  • Genetics 213
  • Hematology 132
  • Pathology and Forensic Medicine 146
  • Immunology 99
  • Nephrology 26
Replace Nickolas Tsakmaklis with:
Nickolas Tsakmaklis United States
Fiona Bennett United Kingdom
Sandeep Potluri United Kingdom
Isabelle Dervite France
D G Oscier United Kingdom
Maria Demos United States
TJ Kipps United States
Yoshitomo Maesako Japan
Bernhard J. Woermann Germany
Lucia Savino Italy
Rebeca Cuello relative to Nickolas Tsakmaklis United States Nickolas Tsakmaklis's profile →
Citations per field
00.5×2.6×
Nickolas Tsakmaklis · 1×
Citations per year

Countries citing papers authored by Rebeca Cuello

Since Specialization
Citations

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

Fields of papers citing papers by Rebeca Cuello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rebeca Cuello, 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 Rebeca Cuello Line = papers co-authored together Rebeca Cuello links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2003129
2 201358
3 201147
4 201627
5 200820
6 201520
7 200819
8 202115
9 20209
10 20155
11 20162

About Rebeca Cuello

Rebeca Cuello is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Nephrology and Oncology, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (2 papers), Renal Diseases and Glomerulopathies (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Folate and B Vitamins Research (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Genetics (213 citations), Hematology (132 citations), Pathology and Forensic Medicine (146 citations), Immunology (99 citations) and Nephrology (26 citations). Rebeca Cuello has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Jesús F. San Miguel, Abelardo Bárez, Enrique M. Ocio, María‐Belén Vídriales, Jesús María Hernández‐Rivas, Gema Mateo, Manuel Moro, Fermín Sánchez‐Guijo, L. Escribano and J. A. Portero. Their work appears in journals such as PLoS ONE, British Journal of Haematology, Leukemia, Blood and International Journal of Cancer.

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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