María Cabello

50 papers receiving 1.3k citations

Hit Papers

COVID-19 and common mental health symptoms in the early phase of the pandemic: An umbrella review of the evidence 2023 · 63 citations
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Peers

María Cabello
Comparison fields: 5 of 121
  • Health 423
  • Neuropsychology and Physiological Psychology 69
  • Clinical Psychology 469
  • Biological Psychiatry 52
  • Applied Psychology 95
Replace Claudia Sikorski with:
Claudia Sikorski Germany
Susanne Röhr Germany
Roberto Nuevo Spain
Meg Fluharty United Kingdom
Francesca Solmi United Kingdom
Jon J. Pfaff Australia
Kristin Reynolds Canada
Dana C. Hughes United States
H. Kluiter Netherlands
Thomas W. Meeks United States
María Cabello relative to Claudia Sikorski Germany Claudia Sikorski's profile →
Citations per field
00.5×
Claudia Sikorski · 1×
Citations per year

Countries citing papers authored by María Cabello

Since Specialization
Citations

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

Fields of papers citing papers by María Cabello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 202315
5 20218
6 20214
7 202010
8 202024
9 20192
10
Association of loneliness with all-cause mortality: A meta-analysis
Hit paper breakdown →
2018395
11 20183
12 20175
13 201753
14 201618
15 201614
16 201527
17 201511
18 20149
19 201147
20 20106

About María Cabello

María Cabello is a scholar working on Health, Neuropsychology and Physiological Psychology, Psychiatry and Mental health, Social Psychology and Biological Psychiatry, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health disparities and outcomes (18 papers), Mental Health Treatment and Access (15 papers), Schizophrenia research and treatment (12 papers), Employment and Welfare Studies (7 papers), Workplace Health and Well-being (5 papers), COVID-19 and Mental Health (5 papers), Mental Health Research Topics (5 papers) and Suicide and Self-Harm Studies (4 papers). The work is most often cited by research in Health (423 citations), Neuropsychology and Physiological Psychology (69 citations), Clinical Psychology (469 citations), Biological Psychiatry (52 citations) and Applied Psychology (95 citations). María Cabello has collaborated with scholars based in Spain, Switzerland and Finland. Frequent co-authors include José Luís Ayuso‐Mateos, Marta Miret, Francisco Félix Caballero, Natalia Martín‐María, Laura Alejandra Rico‐Uribe, Kaloyan Kamenov, Matthew Prina, Alarcos Cieza, Josep María Haro and Conal Twomey. Their work appears in journals such as PLoS ONE, Journal of Affective Disorders, Disability and Rehabilitation, Frontiers in Psychology and International Journal of Environmental Research and Public Health.

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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