Valentín Cabañas

707 citations
12 papers · 112 · h-index 6

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Mesenchymal stem cell research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Protein Degradation and Inhibitors 4
    • Glycosylation and Glycoproteins Research 1

Valentín Cabañas

11 papers receiving 109 citations

Peers

Valentín Cabañas
Comparison fields: 5 of 26
  • Hematology 69
  • Genetics 18
  • Oncology 36
  • Cardiology and Cardiovascular Medicine 14
  • Emergency Medicine 5
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Citations per year

Countries citing papers authored by Valentín Cabañas

Since Specialization
Citations

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

Fields of papers citing papers by Valentín Cabañas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201932
2
Malignant teratoma of the heart.
197316
3 201715
4
Predictive value of 1q21 gain in multiple myeloma is strongly dependent on concurrent cytogenetic abnormalities and first-line treatment.
202114
5
Blood-based risk stratification for pre-malignant and symptomatic plasma cell neoplasms to improve patient management.
202113
6 20177
7 20215
8 20143
9 20243
10 20193
11 20251
12 20250

About Valentín Cabañas

Valentín Cabañas is a scholar working on Hematology, Molecular Biology, Oncology, Neurology and Surgery, having authored 12 papers that have together received 112 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Bone and Joint Diseases (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cardiovascular Effects of Exercise (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Hematology (69 citations), Genetics (18 citations), Oncology (36 citations), Cardiology and Cardiovascular Medicine (14 citations) and Emergency Medicine (5 citations). Valentín Cabañas has collaborated with scholars based in Spain. Frequent co-authors include William M. Moore, José M. Moraleda, Alfredo Minguela, Javier López‐Jiménez, Ricardo Sánchez, Ana Jiménez Ubieto, Lourdes Gimeno, Rafael Ríos, Fernando Martín‐Moro and Adolfo Gómez‐Grande. Their work appears in journals such as American Journal of Cancer Research, Journal of Clinical Oncology, Seminars in Hematology, Cytotherapy and American Journal of Hematology.

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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