Daniel Prieto‐Alhambra

20.1k citations
420 papers · 11.2k indexed · 6 hit papers · h-index 54

Impact in

Papers in

Daniel Prieto‐Alhambra

398 papers receiving 11.0k citations

Hit Papers

The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia 2024 · 84 citations
842013202620172021200400600

Peers

Daniel Prieto‐Alhambra
Comparison fields: 5 of 175
  • Orthopedics and Sports Medicine 2.6k
  • Rheumatology 1.9k
  • Surgery 4.6k
  • Geriatrics and Gerontology 292
  • Nephrology 441
Replace M K Javaid with:
M K Javaid United Kingdom
Frank de Vries Netherlands
Andrew Judge United Kingdom
L. Joseph Melton United States
Angela M. Cheung Canada
Greg Gamble New Zealand
Catherine Hill Australia
Jeffrey R. Curtis United States
C. Kent Kwoh United States
Doug Coyle Canada
Daniel Prieto‐Alhambra relative to M K Javaid United Kingdom M K Javaid's profile →
Citations per field
00.5×4.8×
M K Javaid · 1×
Citations per year

Countries citing papers authored by Daniel Prieto‐Alhambra

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prieto‐Alhambra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
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5 20244
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20
Association Between Overweight and Obesity and Risk of Clinically Diagnosed Knee, Hip, and Hand Osteoarthritis: A Population‐Based Cohort Study
Hit paper breakdown →
2016348

About Daniel Prieto‐Alhambra

Daniel Prieto‐Alhambra is a scholar working on Orthopedics and Sports Medicine, Rheumatology, Surgery, Oncology and Internal Medicine, having authored 420 papers that have together received 11.2k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (98 papers), Bone health and treatments (66 papers), Hip and Femur Fractures (66 papers), Total Knee Arthroplasty Outcomes (43 papers), Rheumatoid Arthritis Research and Therapies (43 papers), Orthopaedic implants and arthroplasty (35 papers), Osteoarthritis Treatment and Mechanisms (31 papers) and Bone and Joint Diseases (31 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.6k citations), Rheumatology (1.9k citations), Surgery (4.6k citations), Geriatrics and Gerontology (292 citations) and Nephrology (441 citations). Daniel Prieto‐Alhambra has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Cyrus Cooper, Nigel Arden, Andrew Judge, Adolfo Díez‐Pérez, M K Javaid, Xavier Nogués, Carlen Reyes, David Culliford, Antonella Delmestri and Andrew Carr. Their work appears in journals such as Osteoporosis International, Journal of Bone and Mineral Research, Annals of the Rheumatic Diseases, Osteoarthritis and Cartilage and Lara D. Veeken.

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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