Carmen Beato

1.1k citations
37 papers · 475 · h-index 13

Impact in

Papers in

Carmen Beato

34 papers receiving 472 citations

Peers

Carmen Beato
Comparison fields: 5 of 86
  • Internal Medicine 35
  • Applied Psychology 37
  • Oncology 175
  • Health 48
  • Public Health, Environmental and Occupational Health 131
Replace Olivia Cook with:
Olivia Cook Australia
Sathiya Murthi Panchatcharam Oman
Rosalind Adam United Kingdom
Rebecca H. Stone United States
Christopher M. Deibert United States
Alaina J. Brown United States
Kristen A. Sorice United States
Smriti Nayan Canada
Farnaz Khatami Iran
Connie Henke Yarbro United States
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Citations per field
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Citations per year

Countries citing papers authored by Carmen Beato

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Beato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201944
3 201639
4 201834
5 201833
6 201932
7 201930
8 201429
9 201922
10 201721
11 202017
12 201916
13 201812
14 202012
15 201811
16 201811
17 20199
18 20208
19 20198
20 20187

About Carmen Beato

Carmen Beato is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Surgery and General Health Professions, having authored 37 papers that have together received 475 indexed citations. Recurring topics across this work include Cancer survivorship and care (9 papers), Palliative Care and End-of-Life Issues (8 papers), Patient-Provider Communication in Healthcare (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Neutropenia and Cancer Infections (6 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Internal Medicine (35 citations), Applied Psychology (37 citations), Oncology (175 citations), Health (48 citations) and Public Health, Environmental and Occupational Health (131 citations). Carmen Beato has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Alberto Carmona‐Bayonas, Paula Jiménez‐Fonseca, Caterina Calderón, Ismael Ghanem, Beatriz Castelo, Teresa García, Carlos Jara, Raquel Hernández, Urbano Lorenzo‐Seva and Pere J. Ferrando. Their work appears in journals such as Clinical & Translational Oncology, Journal of Clinical Oncology, Annals of Oncology, Supportive Care in Cancer and Journal of Personalized Medicine.

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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