Daniel Cuadras

64 papers receiving 1.7k citations

Daniel Cuadras's Hit Papers

Serum albumin and health in older people: Review and meta analysis 2015 · 403 citations
4030+3+7Years since publication100200300400

Peers

Daniel Cuadras
Comparison fields: 5 of 147
  • Biological Psychiatry 39
  • Geriatrics and Gerontology 39
  • Neurology 165
  • Applied Microbiology and Biotechnology 20
  • Psychiatry and Mental health 129
Replace Wenbo He with:
Wenbo He China
Philippe Le Corvoisier France
Patrick Maison France
Sriram Gubbi United States
Sophie Gautier France
John J. Sheehan United States
Giulia Bivona Italy
Maja Živković Serbia
Yin Ting Cheung Hong Kong
Daniel Cuadras relative to Wenbo He China Wenbo He's profile →
Citations per field
00.5×1.5×2.3×
Wenbo He · 1×
Citations per year

Countries citing papers authored by Daniel Cuadras

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cuadras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Serum albumin and health in older people: Review and meta analysis
Hit paper breakdown →
2015403
2 2015279
3 201494
4 201561
5 201949
6 201947
7 201839
8 201737
9 201433
10 202033
11 201831
12 201330
13 201530
14 201928
15 200528
16 201428
17 201725
18 202024
19 201623
20 200623

About Daniel Cuadras

Daniel Cuadras is a scholar working on Psychiatry and Mental health, Surgery, Molecular Biology, Rheumatology and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (4 papers), Sensory Analysis and Statistical Methods (3 papers), Genetic Neurodegenerative Diseases (3 papers), Pelvic floor disorders treatments (3 papers), Advanced Statistical Methods and Models (2 papers), Menopause: Health Impacts and Treatments (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Geochemistry and Geologic Mapping (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Geriatrics and Gerontology (39 citations), Neurology (165 citations), Applied Microbiology and Biotechnology (20 citations) and Psychiatry and Mental health (129 citations). Daniel Cuadras has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Fernando Gómez-Busto, Vincenzo Malafarina, Carles M. Cuadras, Pino Alonso, José M. Menchón, Sophie Tézenas du Montcel, Rick Schuurman, Cinto Segalàs, Eva Real and Luc Mallet. Their work appears in journals such as European Journal of Paediatric Neurology, Developmental Medicine & Child Neurology, Psychiatry Research, Oncotarget and Scientific Reports.

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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