Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-16

Beatriz Cuevas

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Faculty Researcher

17 h-index 94 pubs 908 cited

  • Humans
  • Aged
  • Female
  • Male
  • Middle Aged
  • Primary Myelofibrosis
  • Registries
  • Aged, 80 and over
  • Adult
  • Myeloproliferative Disorders
  • Retrospective Studies
  • Polycythemia Vera
  • Thrombocythemia, Essential
  • Thrombosis
  • COVID-19

Biography and Research Information

OverviewAI-generated summary

Beatriz Cuevas's research focuses on the clinical outcomes and treatment of myeloproliferative neoplasms (MPNs) and related hematological disorders. Her work has investigated the impact of COVID-19 on patients with MPNs, including mortality rates and specific risks associated with conditions like essential thrombocythemia. Cuevas has also examined the safety and efficacy of targeted therapies, such as asciminib and ruxolitinib, in real-world clinical practice for patients with chronic myeloid leukemia (CML) and polycythemia vera. Her research extends to the application of machine learning in improving risk stratification for myelofibrosis, utilizing data from patient registries. Cuevas holds an h-index of 17 with 94 total publications and 908 total citations.

Metrics

  • h-index: 17
  • Publications: 94
  • Citations: 908

Selected Publications

  • Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models (2025)

View all publications on OpenAlex →

Collaboration Network

319 Collaborators 132 Institutions 8 Countries

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